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' }
var monitor = {}
monitor.utils = {}
monitor.utils.get = {}
monitor.utils.get.time = function (item) {
	// date = ([item.day + '-' + MONTHS[item.month] + '-' + item.year, hour + ':' + item.minute]).join(' ')	
	var hour = item.hour > 9 ? item.hour : ('0' + item.hour)
	if (hour > 12) {
		var units = 'PM'
	} else {
		var units = 'AM'
	}
	return ([hour+':'+item.minute,units]).join(' ')	
}
monitor.utils.get.dateTime = function (item) {
	var time = monitor.utils.get.time(item)
	return ([item.day+'-'+MONTHS[item.month]+'-'+item.year,time]).join(' ')	
} 
monitor.processes = {}
monitor.processes.fetch = function(){
	var httpclient = HttpClient.instance()
	httpclient.get(HTTP_CONTEXT+'/get/processes',monitor.processes.init);
	
}

monitor.processes.init = function (x) {
	
	var r = JSON.parse(x.responseText)
	monitor.processes.summary.init(r) 
	var keys = jx.utils.keys(r)	
	jx.dom.set.value('menu','')
	jx.utils.patterns.visitor(keys,function(label){
		var div = jx.dom.get.instance('DIV')
		var frame= jx.dom.get.instance('DIV')
		var i	= jx.dom.get.instance('I')
		i.className = 'fa fa-chevron-right left'
		
		div.innerHTML	= label
		frame.data	= r[label]
		frame.label	= label
		frame.appendChild(i)
		frame.appendChild(div)
		frame.className = 'menu-item'
		frame.onclick = function () {
			monitor.processes.render(this.label, this.data);
			jx.dom.set.value('trends_chart','')
			//monitor.processes.trend.init(this.label)
		}
		jx.dom.append('menu',frame)
	})
	//
	// Auto start the first item in the menu 
	// This is designed not to let the user wander or wonder what is going on
	//
	var nodes = jx.dom.get.children('menu')
	if (nodes.length > 0) {
		nodes[0].click()
	} else { 
		//
		// We should hide the panes for this
		//
		jx.dom.hide('apps')
	}
	monitor.sandbox.init()
	// setTimeout(monitor.sandbox.init,1000)
}

/**
* This function renders the grid of processes being monitored,
* @param label	label the list of processes belongs to
* @param data	dataset of a selected set of processes (works a bit like top)
*/
monitor.processes.render = function(label,data) {

	data = jx.utils.patterns.visitor(data,function(row){
		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>'}	
		if (!row.status.match(/class/)) {
			row.status_id = row.status
			row.status = status[row.status]		
			
		}
		return row
	})
	jx.dom.set.value('latest_processes','') ;
	jx.dom.set.value('latest_processes_label', label)
	
	var options = {
		width: $('#latest_processes').width(), height:'auto'
	}
	options.paging = true
	options.pageSize = 4
	options.pageIndex = 1
	options.pageButtonCount = 4
	options.pagerContainer = '#latest_process_pager'
    	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
		var id 	= jx.dom.get.value('latest_processes_label')
		var app = item.label
		monitor.processes.trend.init(id, app)
		
		if (item.anomaly == true) {
			jx.dom.show('has_anomaly')
		} else {
			jx.dom.hide('has_anomaly')
		}
		// var hour = item.hour < 10? ('0'+item.hour): item.hour
		// date = ([item.day + '-' + MONTHS[item.month] + '-' + item.year, hour + ':' + item.minute]).join(' ')	
		
		jx.dom.set.value('node_last_lookup',monitor.utils.get.dateTime(item))

	}
	
	options.autoload  = true
	options.fields = [
		{ name: 'label', type: 'text', title: "Process", headercss: "small bold", css: "small"},
		{ name: "cpu_usage", type: "number", title: "CPU", headercss: "small bold" , width:'64px'},
		{ name: "memory_usage", type: "text", title: "Mem. Used", type: "number", headercss: "small bold" },
		{ name: "proc_count", type: "number", title: "Proc Count", headercss: "small bold" },
		{name:"status",type:"text",title:"Status",headercss:"small bold",align:"center", width:'64px'}
	]
	var grid = $('#latest_processes').jsGrid(options) ;
	//
	// We need to auto click the first row
	$('#latest_processes').find('.jsgrid-row')[0].click()
}

monitor.processes.trend = {}
monitor.processes.trend.init = function (label,app) {
	var httpclient = HttpClient.instance()
	var uri = HTTP_CONTEXT+'/trends?id='+label+'&app='+encodeURIComponent(app)
	httpclient.get(uri, function (x) {
		var logs = JSON.parse(x.responseText)
		var dom = jx.dom.get.instance('trend_info');
		dom.logs = logs
		jx.dom.set.value('trend_info',app.trim()) 
		// jx.dom.set.attribute(label,'logs',logs)
		monitor.processes.trend.render(logs,null,app)
	})
}
monitor.processes.trend.render = function (logs, key,label) {
	// if (key == null) {
	// 	key = 'memory_usage'
	// }
	// if (logs == null || label == null){
		
	// 	logs = jx.dom.get.instance('trend_info').logs
	// 	label= jx.dom.get.value('trend_info') ;
	// }
	var frame = $('#trends_chart')
	jx.dom.set.value('trends_chart','')
	var context = jx.dom.get.instance('CANVAS')
	context.width = $(frame).width()
	context.height= $(frame).height()

	var conf = { type: 'line',responsive:true }
	conf.data = {}
	conf.options = { legend: { position: 'bottom' } }
	conf.options.scales = {}
	conf.options.scales.yAxes = [  
		{id:'0',scaleLabel:{display:true,labelString:'CPU & MEMORY %'},ticks:{min:0,max:100,beginAtZero:true},gridLines: {display:false}}
		// {id:'1',position:'right',scaleLabel:{display:true,labelString:'PROCESS COUNT'},ticks:{min:0,stepSize:1,beginAtZero:true},gridLines: {display:false}}
	]
	conf.options.scales.xAxes = [
		{
			
			gridLines: {display:false},
			
			time: {
				format:'HH:mm'
			}
			
		}
		
	]
	conf.data.datasets = [	]
	var x_axis = []
	var _x = {}
	// var _y = {}
	var cpu = {label: 'CPU Usage (%)', data: [] ,backgroundColor:'transparent',borderColor:COLORS[187],fill:false,borderWidth:1}
	var mem = {label : 'Memory Usage(%)',data:[],backgroundColor:'transparent',borderColor:COLORS[32],fill:false,borderWidth:1}
	// var proc= {yAxisID:'1',label : 'Proc Count',data:[],backgroundColor:'transparent',borderColor:COLORS[542],fill:false,borderWidth:1}
	// 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"}
	jx.utils.patterns.visitor(logs,function(item){
		//x = new Date(item.year,item.month-1,item.day,item.hour,item.minute)
		// day = item.day.length > 1? (['0',item.day]).join(''): item.day
		// month = months[item.month]
		// x = ([month, day, item.hour + ':' + item.minute]).join(' ')
		x = monitor.utils.get.time(item).replace(/AM|PM/g,'')
		y = item[key]
		if (_x[x] == null ){//||(_x[x] == null && _y[y] == null)) {
			_x[x] = 1
			// _y[y] = 1
			x_axis.push(x)	
			cpu.data.push({ x: x, y: item.cpu_usage })
			mem.data.push({x:x,y:item.memory_usage})
			// proc.data.push({x:x,y:item.proc_count})
			// return {x:x,y:y}
			
		}
		
	})
	
	var item = logs[logs.length - 1]
	jx.dom.set.value('trend_last_lookup',monitor.utils.get.dateTime(item))
	
	conf.data.datasets = [cpu,mem]
	x_axis = jx.utils.unique(x_axis)
	conf.data.labels = x_axis
	// console.log(conf)
	jx.dom.append('trends_chart',context)
	var chart = new Chart(context,conf)
	
}

monitor.processes.summary = {}
monitor.processes.summary.init = function(logs){
	var xr = 0, xc = 0, xi = 0
	var series = {}
	//var colors = [COLORS[11], COLORS[1], COLORS[2]]
	colors = [COLORS[11], COLORS[2], COLORS[100]]
	RUNNING_COLOR = COLORS[26]
	IDLE_COLOR = COLORS[100]
	CRASH_COLOR=COLORS[2]

	var i = 0;
	var date = null;
	for( label in logs ){
		var rows = logs[label]
		series[label] = {data:[0,0,0],label:label}
		
		jx.utils.patterns.visitor(rows,function(item){
			if (date == null) {
				
				// date = new Date(item.year,item.month-1,item.day,item.hour,item.minute)
				// date = ([item.day + '-' + MONTHS[item.month] + '-' + item.year, item.hour + ':' + item.minute]).join(' ')
				date = monitor.utils.get.dateTime(item)
			}
			if (item.status == 'running'){
				xr += 1
			}else if(item.status == 'idle'){
				xi += 1
			}else{
				xc += 1
			}
		})
		
	}
	var data = {labels:['Running','Crash','Idle'],datasets:[{data:[xr,xc,xi],backgroundColor:[RUNNING_COLOR,CRASH_COLOR,IDLE_COLOR/**COLORS[11],COLORS[2],COLORS[100]*/]}]}
	var context = jx.dom.get.instance('CANVAS')
	context.id = 'doughnut'
	jx.dom.set.value('total-running', xr)
	jx.dom.set.value('total-crash', xc)
	jx.dom.set.value('total-idle', xi)
	// jx.dom.set.value('total-apps', xr + xi + xc)
	
	
	jx.dom.set.value('app-summary-date', date)
	jx.dom.set.value('summary_chart','')
	jx.dom.append('summary_chart', context)
	$("#doughnut").attr('width', 50)
	$("#doughnut").attr('height', 50)
	
	var conf = {}//width:100,height:100}//width:'auto',height:$('#process_summary').height}
	
	conf.type = 'doughnut'
	conf.responsive = true
	conf.data = data
	conf.options = { legend: { position: 'right' }, repsonsive: true }
	var _chart = new Chart(context,conf)
	
	$('#summary_chart').click(function (evt) {
		console.log(_chart)
		console.log($(_chart))
		var activePoints = $(_chart).getSegmentsAtEvent(evt);
		console.log(activePoints)
	})
	jx.dom.set.value('summary_ranking','')
	context = jx.dom.get.instance('CANVAS')
	jx.dom.append('summary_ranking',context)
	
	conf = { type: 'bar', responsive: true }
	
	conf.options={scales:{xAxes:[{gridLines: {display:false}}],yAxes:[{gridLines: {display:false},scaleLabel:{display:true,labelString:'PROCESS COUNTS'} }] }}
	conf.options.legend ={position:'right'}
	/*
	conf.data = {labels:['Running','Idle','Crash']}
	var labels = jx.utils.keys(series)
	
	var i = 0
	conf.data.datasets = jx.utils.patterns.visitor(labels,function(id){ 
		series[id].backgroundColor = COLORS[i++]
		return series[id]})
	chart = new Chart(context,conf);
	*/
	var labels = jx.utils.keys(logs)
	conf.data = { labels: labels, backgroundColor:colors }
	var xr = [], xi = [], xc = [],xr_bg = [],xc_bg = [],xi_bg = []
	jx.utils.patterns.visitor(labels, function (id) {
		
		var rows = logs[id]
		var index = xr.length
		xr_bg[index] = RUNNING_COLOR
		xi_bg[index] = IDLE_COLOR
		xc_bg[index] = CRASH_COLOR
		if (xr[index] == null) {
			xr[index] = 0
			xc[index] = 0
			xi[index] = 0
		}
		
		jx.utils.patterns.visitor(logs[id], function (row) {
			
			if (row.status.match(/running/i)) {
				xr[index] += 1
				
			} else if (row.status.match(/idle/i)) {
				xi[index] += 1
				
			} else {
				xc[index] += 1
				
			}
		})
	})
	
	conf.data.datasets = [{ label: 'Running', data:xr,backgroundColor:xr_bg},{label:'Crash',data:xc,backgroundColor:xc_bg},{label:'Idle',data:xi,backgroundColor:xi_bg} ]
	chart = new Chart(context, conf)
	
}

monitor.sandbox = {}
monitor.sandbox.init = function () {
	jx.dom.hide('inspect_sandbox')
	var httpclient = HttpClient.instance()
	httpclient.get(HTTP_CONTEXT+'/sandbox', function (x) {
		
		var r = JSON.parse(x.responseText)
		
		if (r.length > 0) {
			jx.dom.show('sandbox')
			monitor.sandbox.render(r);
		} else {
			jx.dom.hide('sandbox')
		}
	})
}
monitor.sandbox.render = function (logs) {
	// 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' }
	
	// var d = ([logs[0].day, '-', MONTHS[logs[0].month], '-', logs[0].year, ' ', logs[0].hour, ':', logs[0].minute]).join('')
	var item = logs[logs.length -1]
	jx.dom.set.value('sandbox_date', monitor.utils.get.datetime(item))
	
	var options = { width: $('#sandbox_status').width()-8, height: 'auto' }
	options.data = jx.utils.patterns.visitor(logs, function (item) { 
		if (item.value == 100) {
			item.status = '<i class="fa fa-check" style="color:green"></i>'
		} else {
			item.status = '<i class="fa fa-download" style="color:black"></i>'
		}
		return item		
	})
	options.paging = true
	options.pageSize = 4
	options.pageIndex = 1
	options.pageButtonCount = 4
	options.pagerContainer = '#folders_pager'
	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.rowClass = function (item) {
		
		if (item.value < 70) {
			return 'bad'
		} else if (item.value < 100) {
			return 'warning'
		} else {
			return 'good'
		}
	}
	options.rowClick = function (args) {
		var item = args.item;
		if (item.missing.length > 0) {
			var form = jx.dom.get.instance('FORM')
			var dom = jx.dom.get.instance('INPUT')
			dom.type = 'hidden'
			dom.name = 'missing'
			dom.value = JSON.stringify(item.missing)
			
			form.action 	= HTTP_CONTEXT+'/download'
			form.method = 'POST'
			form.appendChild(dom)
			form.submit()

		}
	}
	options.fields = [
		{name:"status",title:"",width:20},
		{ name: 'label',title:'Virtual Environment Label',type:'text',css:'small',headercss:'small bold' },
		{ name: 'value', title:'Completeness %',type: 'number', css: 'small', headercss: 'small bold' }
		
	]
	var grid = $('#sandbox_status').jsGrid(options)
	jx.dom.show('inspect_sandbox')
	
}



monitor.folders = {}
monitor.folders.init = function () {
	var httpclient = HttpClient.instance()
	httpclient.get(HTTP_CONTEXT+'/folders', function (x) {
		var r = JSON.parse(x.responseText)
		var data = []
		for (var id in r) {
			var item = r[id]
			// item.id = id
			data = data.concat(item)
		}
		
		monitor.folders.render.init(data)
	})
}
monitor.folders.search = {}
monitor.folders.search.reset = function () {
	jx.dom.set.value('folder_search', '')
	var data = jx.dom.get.attribute('folder_search', 'data')
	monitor.folders.render.summary(data)
	
}
monitor.folders.search.init = function(){
	var term = jx.dom.get.value('folder_search')
	var data = jx.dom.get.attribute('folder_search', 'data')
	
	term = term.replace(/ /g,'')
	if (term.length == 0) {
		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() - 10
		$('#menuframe').animate({marginLeft:"-12%"})
	} else {
		$('#menuframe').animate({marginLeft:"0"})
	}
	
}
/**
 * Socket handler, check for learning status
 */