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@ -365,91 +365,86 @@ monitor.folders.render = {}
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monitor.folders.render.init = function (data) {
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monitor.folders.render.summary(data)
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}
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monitor.folders.render.details = function (data) {
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//
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// We need to normalize the data at this point so as to be able to show it all in the same chart
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// jx.math.scale
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//
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var m = jx.utils.vector(['x','y'],data.age)
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var x_max_age = jx.math.max(m[0])
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var y_max_age = jx.math.max(m[1])
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m = jx.math.scale(m)
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data.age = jx.utils.patterns.visitor(m,function(row){
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return {x:parseFloat(row[0].toFixed(3)),y:parseFloat(row[1].toFixed(3))}
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})
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var m = jx.utils.vector(['x','y'],data.size)
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var x_max_size = jx.math.max(m[0])
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var y_max_size = jx.math.max(m[1])
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m = jx.math.scale(m)
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data.size = jx.utils.patterns.visitor(m,function(row){
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return {x:parseFloat(row[0].toFixed(3)),y:parseFloat(row[1].toFixed(3))}
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})
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monitor.folders.show = {}
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monitor.folders.show.plan = function () {
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$('#folder_summary').slideUp(function () {
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$('#folder_plan').slideDown()
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})
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//
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// The datasets need to be sorted by x ...
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//
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var Fn = function(a,b){
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return a.x - b.x
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}
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data.age = data.age.sort(Fn)
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data.size= data.size.sort(Fn)
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// data.size = data.size.splice(0,data.age.length)
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var context = jx.dom.get.instance('CANVAS')
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var frame = $('#chartfolder')
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jx.dom.set.value('chartfolder', '')
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context.width = $(frame).width()
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context.height= $(frame).height()
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}
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monitor.folders.show.grid = function () {
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$('#folder_plan').slideUp(function () {
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$('#folder_summary').slideDown()
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})
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}
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/***
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* This function is designed to establish a folder clean up strategy i.e :
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* - We will look for anomalies given age,file size
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* - We will also look for where most of the data is distributed (mode)
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*/
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monitor.folders.render.details = function (folder,data) {
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//
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// We need to normalize the data at this point so as to be able to show it all in the same chart
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// jx.math.scale x: counts, y: measure ment
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//
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var r = [data.age, data.size]
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var plans = []
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for (var i in r) {
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var xy = r[i]
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var mode = jx.math.mode(jx.utils.vector('x', xy))
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var yvalues = jx.utils.patterns.visitor(xy, function (row) {
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if (row.x == mode) {
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return row.y
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}
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})
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var sd = jx.math.sd(yvalues)
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if (i == 0) {
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prefix = 'age'
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var mean = jx.math.mean(yvalues)
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var max = (mean + (1.5 * sd))
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if (mean > 30 && mean < 365) {
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divide_by = 30
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units = 'MONTHS'
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} else if (mean > 365) {
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divide_by=365
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units = 'YEARS'
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} else {
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divide_by = 1
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units = 'DAYS'
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}
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} else {
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prefix = 'size'
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var mean = jx.math.sum(yvalues)
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var max = 0// (mean + (1.5 * sd))
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if (mean > 1000) {
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divide_by = 1000
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units = 'GB'
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} else {
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divide_by = 1
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units = 'MB'
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}
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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:'% DAYS/MB'},ticks:{min:0,beginAtZero:true},gridLines: {display:false}}
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}
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]
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conf.options.scales.xAxes = [{ ticks:{min:0,max:1},gridLines: {display:false}}]
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conf.options.tooltips = {}
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conf.options.tooltips.callbacks = {}
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conf.options.tooltips.callbacks.label = function(item,rec){
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// var r = data.datasets[item.datasetIndex].data[item.index]
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if(item.datasetIndex == 0){
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r = data.age[item.index]
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xmax = x_max_age
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ymax = y_max_age
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units = "DAYS"
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}else{
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r = data.size[item.index]
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xmax = x_max_size
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ymax = y_max_size
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units = "MB"
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}
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console.log(r)
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return 'WTF'
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}
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var age = {yAxisID:'0', label: 'File Age (Days)', data:data.age ,borderColor:COLORS[187],fill:true,borderWidth:1}
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var size = {yAxisID:'0',label : 'File Size (MB)',data:data.size,borderColor:COLORS[32],fill:true,borderWidth:1}
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// // age.data = [{ x: 10, y: 30 }, {x:20,y:60}]
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// size.data= data.size
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age.data = data.age
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x_ = jx.utils.vector('x', age.data)
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z_ = jx.utils.vector('x',size.data)
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conf.data.labels = jx.utils.unique(jx.math.sets.union(x_,z_)).sort()
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conf.data.datasets = [age,size]//,age]
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//
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// We need to assess the outliars i.e too old, too large
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//
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y = jx.utils.vector('y', xy)
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var _mean = jx.math.mean(y)
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var _sd = jx.math.sd(y)
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var outlier = _mean < mean || max > (_mean + (1.5 * _sd))
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plans.push({ 'label': prefix, 'max': max, 'sd': sd, 'mean': mean, 'count': yvalues.length, 'outlier': outlier })
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jx.dom.set.value(prefix + '_count', yvalues.length)
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jx.dom.set.value(prefix + '_value', (mean/divide_by).toFixed(2))
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jx.dom.set.value(prefix+'_units',units)
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monitor.folders.show.plan()
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}
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jx.dom.set.value('folder_name', folder)
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jx.dom.append('chartfolder',context)
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var chart = new Chart(context,conf)
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@ -482,14 +477,14 @@ monitor.folders.render.summary = function (data) {
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return {y:row[0],x:row[1]}
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})
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monitor.folders.render.details({age:age,size:size})
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monitor.folders.render.details(item.label,{age:age,size:size})
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}
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//
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// @TODO Add the units in days just in case
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options.autoload = true
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options.fields = [
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{ name: 'label', type: 'text', title: "Folder Name", headercss: "small bold", css: "small"},
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{ name: "summary.age", type: "number", title: "Age (DAYS)", headercss: "small bold" , width:'64px'},
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{ name: "summary.size", type: "number", title: "Size (MB)", type: "number", headercss: "small bold" },
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{ name: "summary.count", type: "number", title: "File Count", type: "number", headercss: "small bold" }
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]
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Steve L. Nyemba
9 years ago