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619 lines
18 KiB
JavaScript
619 lines
18 KiB
JavaScript
var MONTHS = { 1: 'Jan', 2: 'Feb', 3: 'Mar', 4: 'Apr', 5: 'May', 6: 'Jun', 7: 'Jul', 8: 'Aug', 9: 'Sep', 10: 'Oct', 11: 'Nov', 12: 'Dec' }
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var monitor = {}
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monitor.utils = {}
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monitor.utils.get = {}
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monitor.utils.get.time = function (item) {
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// date = ([item.day + '-' + MONTHS[item.month] + '-' + item.year, hour + ':' + item.minute]).join(' ')
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var hour = item.hour > 9 ? item.hour : ('0' + item.hour)
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if (hour > 12) {
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var units = 'PM'
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} else {
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var units = 'AM'
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}
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return ([hour+':'+item.minute,units]).join(' ')
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}
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monitor.utils.get.dateTime = function (item) {
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var time = monitor.utils.get.time(item)
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return ([item.day+'-'+MONTHS[item.month]+'-'+item.year,time]).join(' ')
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}
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monitor.processes = {}
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monitor.processes.fetch = function(){
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var httpclient = HttpClient.instance()
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httpclient.get(HTTP_CONTEXT+'/get/processes',monitor.processes.init);
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}
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monitor.processes.init = function (x) {
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var r = JSON.parse(x.responseText)
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monitor.processes.summary.init(r)
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var keys = jx.utils.keys(r)
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jx.dom.set.value('menu','')
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jx.utils.patterns.visitor(keys,function(label){
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var div = jx.dom.get.instance('DIV')
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var frame= jx.dom.get.instance('DIV')
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var i = jx.dom.get.instance('I')
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i.className = 'fa fa-chevron-right left'
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div.innerHTML = label
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frame.data = r[label]
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frame.label = label
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frame.appendChild(i)
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frame.appendChild(div)
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frame.className = 'menu-item'
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frame.onclick = function () {
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monitor.processes.render(this.label, this.data);
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jx.dom.set.value('trends_chart','')
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//monitor.processes.trend.init(this.label)
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}
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jx.dom.append('menu',frame)
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})
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//
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// Auto start the first item in the menu
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// This is designed not to let the user wander or wonder what is going on
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//
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var nodes = jx.dom.get.children('menu')
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if (nodes.length > 0) {
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nodes[0].click()
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} else {
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//
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// We should hide the panes for this
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//
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jx.dom.hide('apps')
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}
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monitor.sandbox.init()
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// setTimeout(monitor.sandbox.init,1000)
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}
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/**
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* This function renders the grid of processes being monitored,
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* @param label label the list of processes belongs to
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* @param data dataset of a selected set of processes (works a bit like top)
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*/
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monitor.processes.render = function(label,data) {
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data = jx.utils.patterns.visitor(data,function(row){
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var status = {"idle":'<i class="fa fa-ellipsis-h" title="IDLE"></i>',"running":'<i class="fa fa-check" title="RUNNING"></i>',"crash":'<i class="fa fa-times" title="CRASHED"></i>'}
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if (!row.status.match(/class/)) {
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row.status_id = row.status
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row.status = status[row.status]
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}
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return row
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})
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jx.dom.set.value('latest_processes','') ;
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jx.dom.set.value('latest_processes_label', label)
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var options = {
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width: "90%", height:'auto', autoload:true
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}
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options.paging = true
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options.pageSize = 4
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options.pageIndex = 1
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options.pageButtonCount = 4
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options.pagerContainer = '#latest_process_pager'
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options.pagerFormat= "{prev} Page {pageIndex} of {pageCount} {next}"
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options.pagePrevText= '<i class="fa fa-chevron-left"></i>'
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options.pageNextText= "<i class='fa fa-chevron-right small' title='Next'> </i>"
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options.data = data
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options.rowClass = function (item, index,evt) {
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return 'small'
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}
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options.rowClick = function(args){
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var item = args.item
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var id = jx.dom.get.value('latest_processes_label')
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var app = item.label
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monitor.processes.trend.init(id, app)
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if (item.anomaly == true) {
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jx.dom.show('has_anomaly')
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} else {
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jx.dom.hide('has_anomaly')
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}
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// var hour = item.hour < 10? ('0'+item.hour): item.hour
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// date = ([item.day + '-' + MONTHS[item.month] + '-' + item.year, hour + ':' + item.minute]).join(' ')
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jx.dom.set.value('node_last_lookup',monitor.utils.get.dateTime(item))
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}
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options.autoload = true
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options.fields = [
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{ name: 'label', type: 'text', title: "Process", headercss: "small bold", css: "small"},
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{ name: "cpu_usage", type: "number", title: "CPU", headercss: "small bold" , width:'64px'},
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{ name: "memory_usage", type: "text", title: "Mem. Used", type: "number", headercss: "small bold" },
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{ name: "proc_count", type: "number", title: "Proc Count", headercss: "small bold" },
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{name:"status",type:"text",title:"Status",headercss:"small bold",align:"center", width:'64px'}
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]
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var grid = $('#latest_processes').jsGrid(options) ;
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//
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// We need to auto click the first row
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$('#latest_processes').find('.jsgrid-row')[0].click()
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}
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monitor.processes.trend = {}
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monitor.processes.trend.init = function (label,app) {
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var httpclient = HttpClient.instance()
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var uri = HTTP_CONTEXT+'/trends?id='+label+'&app='+encodeURIComponent(app)
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httpclient.get(uri, function (x) {
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var logs = JSON.parse(x.responseText)
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var dom = jx.dom.get.instance('trend_info');
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dom.logs = logs
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jx.dom.set.value('trend_info',app.trim())
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// jx.dom.set.attribute(label,'logs',logs)
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monitor.processes.trend.render(logs,null,app)
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})
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}
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monitor.processes.trend.render = function (logs, key,label) {
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// if (key == null) {
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// key = 'memory_usage'
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// }
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// if (logs == null || label == null){
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// logs = jx.dom.get.instance('trend_info').logs
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// label= jx.dom.get.value('trend_info') ;
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// }
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var frame = $('#trends_chart')
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jx.dom.set.value('trends_chart','')
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var context = jx.dom.get.instance('CANVAS')
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context.width = $(frame).width()
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context.height= $(frame).height()
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var conf = { type: 'line',responsive:true }
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conf.data = {}
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conf.options = { legend: { position: 'bottom' } }
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conf.options.scales = {}
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conf.options.scales.yAxes = [
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{id:'0',scaleLabel:{display:true,labelString:'CPU & MEMORY %'},ticks:{min:0,max:100,beginAtZero:true},gridLines: {display:false}}
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// {id:'1',position:'right',scaleLabel:{display:true,labelString:'PROCESS COUNT'},ticks:{min:0,stepSize:1,beginAtZero:true},gridLines: {display:false}}
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]
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conf.options.scales.xAxes = [
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{
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gridLines: {display:false},
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time: {
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format:'HH:mm'
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}
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}
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]
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conf.data.datasets = [ ]
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var x_axis = []
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var _x = {}
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// var _y = {}
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var cpu = {label: 'CPU Usage (%)', data: [] ,backgroundColor:'transparent',borderColor:COLORS[187],fill:false,borderWidth:1}
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var mem = {label : 'Memory Usage(%)',data:[],backgroundColor:'transparent',borderColor:COLORS[32],fill:false,borderWidth:1}
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// var proc= {yAxisID:'1',label : 'Proc Count',data:[],backgroundColor:'transparent',borderColor:COLORS[542],fill:false,borderWidth:1}
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// var months={1:"Jan",2:"Feb",3:"Mar",4:"Apr",5:"May",6:"Jun",7:"Jul",8:"Aug",9:"Sep",10:"Oct",11:"Nov",12:"Dec"}
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jx.utils.patterns.visitor(logs,function(item){
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//x = new Date(item.year,item.month-1,item.day,item.hour,item.minute)
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// day = item.day.length > 1? (['0',item.day]).join(''): item.day
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// month = months[item.month]
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// x = ([month, day, item.hour + ':' + item.minute]).join(' ')
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x = monitor.utils.get.time(item).replace(/AM|PM/g,'')
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y = item[key]
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if (_x[x] == null ){//||(_x[x] == null && _y[y] == null)) {
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_x[x] = 1
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// _y[y] = 1
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x_axis.push(x)
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cpu.data.push({ x: x, y: item.cpu_usage })
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mem.data.push({x:x,y:item.memory_usage})
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console.log(item.cpu_usage)
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console.log(item.memory_usage)
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// proc.data.push({x:x,y:item.proc_count})
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// return {x:x,y:y}
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}
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})
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var item = logs[logs.length - 1]
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jx.dom.set.value('trend_last_lookup',monitor.utils.get.dateTime(item))
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conf.data.datasets = [cpu,mem]
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x_axis = jx.utils.unique(x_axis)
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conf.data.labels = x_axis
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// console.log(conf)
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jx.dom.append('trends_chart',context)
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var chart = new Chart(context,conf)
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}
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monitor.processes.summary = {}
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monitor.processes.summary.init = function(logs){
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var xr = 0, xc = 0, xi = 0
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var series = {}
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//var colors = [COLORS[11], COLORS[1], COLORS[2]]
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COLORS = ["#00BFFF", "#b2beb5", "#ffa812"]
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colors = [COLORS[0], COLORS[2], COLORS[1]]
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RUNNING_COLOR = COLORS[0]
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// RUNNING_COLOR = #0072BB
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IDLE_COLOR = COLORS[1]
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CRASH_COLOR=COLORS[2]
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var i = 0;
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var date = null;
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for( label in logs ){
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var rows = logs[label]
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series[label] = {data:[0,0,0],label:label}
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jx.utils.patterns.visitor(rows,function(item){
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if (date == null) {
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// date = new Date(item.year,item.month-1,item.day,item.hour,item.minute)
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// date = ([item.day + '-' + MONTHS[item.month] + '-' + item.year, item.hour + ':' + item.minute]).join(' ')
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date = monitor.utils.get.dateTime(item)
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}
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if (item.status == 'running'){
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xr += 1
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}else if(item.status == 'idle'){
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xi += 1
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}else{
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xc += 1
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}
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})
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}
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var data = {labels:['Running','Crash','Idle'],datasets:[{data:[xr,xc,xi],backgroundColor:[RUNNING_COLOR,CRASH_COLOR,IDLE_COLOR/**COLORS[11],COLORS[2],COLORS[100]*/]}]}
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var context = jx.dom.get.instance('CANVAS')
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context.id = 'doughnut'
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jx.dom.set.value('total-running', xr)
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jx.dom.set.value('total-crash', xc)
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jx.dom.set.value('total-idle', xi)
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// jx.dom.set.value('total-apps', xr + xi + xc)
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jx.dom.set.value('app-summary-date', date)
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jx.dom.set.value('summary_chart','')
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jx.dom.append('summary_chart', context)
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$("#doughnut").attr('width', 50)
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$("#doughnut").attr('height', 50)
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var conf = {}//width:100,height:100}//width:'auto',height:$('#process_summary').height}
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conf.type = 'doughnut'
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conf.responsive = true
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conf.data = data
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conf.options = { legend: { position: 'right' }, repsonsive: true }
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var _chart = new Chart(context,conf)
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$('#summary_chart').click(function (evt) {
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console.log(_chart)
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console.log($(_chart))
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var activePoints = $(_chart).getSegmentsAtEvent(evt);
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console.log(activePoints)
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})
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jx.dom.set.value('summary_ranking','')
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context = jx.dom.get.instance('CANVAS')
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jx.dom.append('summary_ranking',context)
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conf = { type: 'bar', responsive: true }
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conf.options={scales:{xAxes:[{gridLines: {display:false}}],yAxes:[{gridLines: {display:false},scaleLabel:{display:true,labelString:'PROCESS COUNTS'} }] }}
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conf.options.legend ={position:'right'}
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/*
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conf.data = {labels:['Running','Idle','Crash']}
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var labels = jx.utils.keys(series)
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var i = 0
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conf.data.datasets = jx.utils.patterns.visitor(labels,function(id){
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series[id].backgroundColor = COLORS[i++]
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return series[id]})
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chart = new Chart(context,conf);
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*/
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var labels = jx.utils.keys(logs)
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conf.data = { labels: labels, backgroundColor:colors }
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var xr = [], xi = [], xc = [],xr_bg = [],xc_bg = [],xi_bg = []
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jx.utils.patterns.visitor(labels, function (id) {
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var rows = logs[id]
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var index = xr.length
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xr_bg[index] = RUNNING_COLOR
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xi_bg[index] = IDLE_COLOR
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xc_bg[index] = CRASH_COLOR
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if (xr[index] == null) {
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xr[index] = 0
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xc[index] = 0
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xi[index] = 0
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}
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jx.utils.patterns.visitor(logs[id], function (row) {
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if (row.status.match(/running/i)) {
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xr[index] += 1
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} else if (row.status.match(/idle/i)) {
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xi[index] += 1
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} else {
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xc[index] += 1
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}
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})
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})
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conf.data.datasets = [{ label: 'Running', data:xr,backgroundColor:xr_bg},{label:'Crash',data:xc,backgroundColor:xc_bg},{label:'Idle',data:xi,backgroundColor:xi_bg} ]
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chart = new Chart(context, conf)
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}
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monitor.sandbox = {}
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monitor.sandbox.init = function () {
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jx.dom.hide('inspect_sandbox')
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var httpclient = HttpClient.instance()
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httpclient.get(HTTP_CONTEXT+'/sandbox', function (x) {
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var r = JSON.parse(x.responseText)
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if (r.length > 0) {
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jx.dom.show('sandbox')
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monitor.sandbox.render(r);
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} else {
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jx.dom.hide('sandbox')
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}
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})
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}
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monitor.sandbox.render = function (logs) {
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// months = { 1: 'Jan', 2: 'Feb', 3: 'Mar', 4: 'Apr', 5: 'May', 6: 'Jun', 7: 'Jul', 8: 'Aug', 9: 'Sep', 10: 'Oct', 11: 'Nov', 12: 'Dec' }
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// var d = ([logs[0].day, '-', MONTHS[logs[0].month], '-', logs[0].year, ' ', logs[0].hour, ':', logs[0].minute]).join('')
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var item = logs[logs.length -1]
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jx.dom.set.value('sandbox_date', monitor.utils.get.dateTime(item))
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var options = { width: $('#sandbox_status').width()-8, height: 'auto' }
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options.data = jx.utils.patterns.visitor(logs, function (item) {
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if (item.value == 100) {
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item.status = '<i class="fa fa-check" style="color:green"></i>'
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} else {
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item.status = '<i class="fa fa-download" style="color:black"></i>'
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}
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return item
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})
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options.paging = true
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options.pageSize = 4
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options.pageIndex = 1
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options.pageButtonCount = 4
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options.pagerContainer = '#folders_pager'
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options.pagerFormat = "{prev} Page {pageIndex} of {pageCount} {next}"
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options.pagePrevText = '<i class="fa fa-chevron-left"></i>'
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options.pageNextText = "<i class='fa fa-chevron-right small' title='Next'> </i>";
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options.rowClass = function (item) {
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if (item.value < 70) {
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return 'bad'
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} else if (item.value < 100) {
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return 'warning'
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} else {
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return 'good'
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}
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}
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options.rowClick = function (args) {
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var item = args.item;
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if (item.missing.length > 0) {
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var form = jx.dom.get.instance('FORM')
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var dom = jx.dom.get.instance('INPUT')
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dom.type = 'hidden'
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dom.name = 'missing'
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dom.value = JSON.stringify(item.missing)
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form.action = HTTP_CONTEXT+'/download'
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form.method = 'POST'
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form.appendChild(dom)
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form.submit()
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}
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}
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options.fields = [
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{name:"status",title:"",width:20},
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{ name: 'label',title:'Virtual Environment Label',type:'text',css:'small',headercss:'small bold' },
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{ name: 'value', title:'Completeness %',type: 'number', css: 'small', headercss: 'small bold' }
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]
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var grid = $('#sandbox_status').jsGrid(options)
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jx.dom.show('inspect_sandbox')
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}
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monitor.folders = {}
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monitor.folders.init = function () {
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var httpclient = HttpClient.instance()
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|
httpclient.get(HTTP_CONTEXT+'/folders', function (x) {
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var r = JSON.parse(x.responseText)
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var data = []
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for (var id in r) {
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var item = r[id]
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// item.id = id
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data = data.concat(item)
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}
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monitor.folders.render.init(data)
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})
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}
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monitor.folders.search = {}
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monitor.folders.search.reset = function () {
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jx.dom.set.value('folder_search', '')
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var data = jx.dom.get.attribute('folder_search', 'data')
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monitor.folders.render.summary(data)
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}
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monitor.folders.search.init = function(){
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var term = jx.dom.get.value('folder_search')
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var data = jx.dom.get.attribute('folder_search', 'data')
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term = term.replace(/ /g,'')
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if (term.length == 0) {
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monitor.folders.render.summary(data)
|
|
} else if (term.length > 0) {
|
|
|
|
data = jx.utils.patterns.visitor(data, function (row) {
|
|
pattern = "(.*" + term + ".*)"
|
|
|
|
if (row.id.match(pattern)) {
|
|
return row
|
|
}
|
|
})
|
|
monitor.folders.render.summary(data)
|
|
}
|
|
}
|
|
monitor.folders.render = {}
|
|
monitor.folders.render.init = function (data) {
|
|
jx.dom.set.attribute('folder_search','data',data)
|
|
monitor.folders.render.summary(data)
|
|
}
|
|
monitor.folders.show = {}
|
|
monitor.folders.show.plan = function () {
|
|
$('#folder_summary').slideUp(function () {
|
|
$('#folder_plan').slideDown()
|
|
})
|
|
|
|
}
|
|
monitor.folders.show.grid = function () {
|
|
$('#folder_plan').slideUp(function () {
|
|
$('#folder_summary').slideDown()
|
|
})
|
|
|
|
}
|
|
/***
|
|
* This function is designed to establish a folder clean up strategy i.e :
|
|
* - We will look for anomalies given age,file size
|
|
* - We will also look for where most of the data is distributed (mode)
|
|
*/
|
|
monitor.folders.render.details = function (folder,data) {
|
|
//
|
|
// We need to normalize the data at this point so as to be able to show it all in the same chart
|
|
// jx.math.scale x: counts, y: measure ment
|
|
//
|
|
var r = [data.age, data.size]
|
|
var plans = []
|
|
for (var i in r) {
|
|
var xy = r[i]
|
|
var mode = jx.math.mode(jx.utils.vector('x', xy))
|
|
var yvalues = jx.utils.patterns.visitor(xy, function (row) {
|
|
if (row.x == mode) {
|
|
return row.y
|
|
}
|
|
})
|
|
var sd = jx.math.sd(yvalues)
|
|
if (i == 0) {
|
|
prefix = 'age'
|
|
var mean = jx.math.mean(yvalues)
|
|
var max = (mean + (1.5 * sd))
|
|
if (mean > 30 && mean < 365) {
|
|
divide_by = 30
|
|
units = 'MONTHS'
|
|
} else if (mean > 365) {
|
|
divide_by=365
|
|
units = 'YEARS'
|
|
} else {
|
|
divide_by = 1
|
|
units = 'DAYS'
|
|
}
|
|
} else {
|
|
prefix = 'size'
|
|
var mean = jx.math.sum(yvalues)
|
|
var max = 0// (mean + (1.5 * sd))
|
|
if (mean > 1000) {
|
|
divide_by = 1000
|
|
units = 'GB'
|
|
} else {
|
|
divide_by = 1
|
|
units = 'MB'
|
|
}
|
|
|
|
}
|
|
if (isNaN(mean)) {
|
|
mean = 0
|
|
}
|
|
//
|
|
// We need to assess the outliars i.e too old, too large
|
|
//
|
|
y = jx.utils.vector('y', xy)
|
|
var _mean = jx.math.mean(y)
|
|
var _sd = jx.math.sd(y)
|
|
var outlier = _mean < mean || max > (_mean + (1.5 * _sd))
|
|
|
|
plans.push({ 'label': prefix, 'max': max, 'sd': sd, 'mean': mean, 'count': yvalues.length, 'outlier': outlier })
|
|
jx.dom.set.value(prefix + '_count', yvalues.length)
|
|
jx.dom.set.value(prefix + '_value', (mean/divide_by).toFixed(2))
|
|
jx.dom.set.value(prefix+'_units',units)
|
|
monitor.folders.show.plan()
|
|
|
|
}
|
|
|
|
jx.dom.set.value('folder_name', folder)
|
|
|
|
|
|
|
|
|
|
}
|
|
monitor.folders.render.summary = function (data) {
|
|
|
|
jx.dom.set.value('gridfolders', '')
|
|
var options = {
|
|
width: $('#gfolderframe').width()-8, height:'auto'
|
|
}
|
|
options.paging = true
|
|
options.pageSize = 4
|
|
options.pageIndex = 1
|
|
options.pageButtonCount = 4
|
|
options.pagerContainer = '#folderspager'
|
|
options.pagerFormat= "{prev} Page {pageIndex} of {pageCount} {next}"
|
|
options.pagePrevText= '<i class="fa fa-chevron-left"></i>'
|
|
options.pageNextText= "<i class='fa fa-chevron-right small' title='Next'> </i>"
|
|
|
|
options.data = data
|
|
options.rowClass = function (item, index,evt) {
|
|
|
|
return 'small'
|
|
}
|
|
options.rowClick = function(args){
|
|
// var item = args.item
|
|
|
|
// age = jx.utils.patterns.visitor(item.details.age, function (row) {
|
|
// return {y:row[0],x:row[1]}
|
|
// })
|
|
// size = jx.utils.patterns.visitor(item.details.size, function (row) {
|
|
// return {y:row[0],x:row[1]}
|
|
// })
|
|
|
|
// monitor.folders.render.details(item.name,{age:age,size:size})
|
|
}
|
|
//
|
|
// @TODO Add the units in days just in case
|
|
options.autoload = true
|
|
options.fields = [
|
|
{ name: 'id', type: 'text', title: "Host", headercss: "small bold", css: "small"},
|
|
{ name: 'name', type: 'text', title: "Folder Name", headercss: "small bold", css: "small"},
|
|
|
|
{ name: "size", type: "number", title: "Folder Size", type: "number", headercss: "small bold" },
|
|
{ name: "count", type: "number", title: "File Count", type: "number", headercss: "small bold" }
|
|
]
|
|
var grid = $('#gridfolders').jsGrid(options) ;
|
|
|
|
}
|
|
monitor.menu = {}
|
|
monitor.menu.event = {}
|
|
monitor.menu.event.toggle = function () {
|
|
var dom = jx.dom.get.instance('menuframe')
|
|
var value = dom.style.marginLeft.trim()
|
|
|
|
if (value==0 || value == "0px" || value == "") {
|
|
var width = -$(dom).width() - 20
|
|
$('#menuframe').animate({marginLeft:"-20%"})
|
|
} else {
|
|
$('#menuframe').animate({marginLeft:"0"})
|
|
}
|
|
|
|
}
|
|
/**
|
|
* Socket handler, check for learning status
|
|
*/
|