2016-08-12 10:22:24 +02:00
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
/* Functions and config */
|
2018-09-25 14:37:14 +02:00
|
|
|
|
|
|
|
function getSyncScriptParams() {
|
|
|
|
var scripts = document.getElementsByTagName('script');
|
|
|
|
var lastScript = scripts[scripts.length-1];
|
|
|
|
var scriptName = lastScript;
|
|
|
|
return {
|
|
|
|
url_sentiment_analysis_getplotdata : scriptName.getAttribute('data-url_sentiment_analysis_getplotdata'),
|
|
|
|
};
|
|
|
|
}
|
|
|
|
|
|
|
|
var url_sentiment_analysis_getplotdata = getSyncScriptParams().url_sentiment_analysis_getplotdata;
|
|
|
|
|
2016-08-25 15:06:18 +02:00
|
|
|
function add_new_graph_today(id) {
|
|
|
|
return "<div id=\"panel-today\" class=\"panel panel-default pannelToday"+id+"\">" +
|
|
|
|
"<div class=\"panel-heading\">" +
|
|
|
|
"<strong class=\"sparkLineStatsToday"+id+"t\">Graph "+id+"</strong>" +
|
|
|
|
"<strong class=\"sparkLineStatsToday"+id+"s pull-right\">Avg</strong>" +
|
|
|
|
"</div>" +
|
|
|
|
"<div class=\"panel-body panelInside\">" +
|
|
|
|
"<table class=\"table\">" +
|
|
|
|
"<tbody>" +
|
|
|
|
"<tr>" +
|
|
|
|
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsToday"+id+"\"></div></td> " +
|
|
|
|
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsToday"+id+"b\"></div></td> " +
|
|
|
|
"</tr>" +
|
|
|
|
"</tbody>" +
|
|
|
|
"</table>" +
|
|
|
|
"</div>" +
|
|
|
|
"</div>";
|
|
|
|
};
|
|
|
|
function add_new_graph_week(id) {
|
|
|
|
return "<div id=\"panel-week\" class=\"panel panel-default pannelWeek"+id+"\">" +
|
|
|
|
"<div class=\"panel-heading\">" +
|
|
|
|
"<strong class=\"sparkLineStatsWeek"+id+"t\">Graph "+id+"</strong>" +
|
|
|
|
"<strong class=\"sparkLineStatsWeek"+id+"s pull-right\">Avg</strong>" +
|
|
|
|
"</div>" +
|
|
|
|
"<div class=\"panel-body panelInside\">" +
|
|
|
|
"<table class=\"table\">" +
|
|
|
|
"<tbody>" +
|
|
|
|
"<tr>" +
|
|
|
|
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsWeek"+id+"\"></div></td> " +
|
|
|
|
"<td style=\"border-top: 0px solid #ddd;\"><div class=\"sparkLineStatsWeek"+id+"b\"></div></td> " +
|
|
|
|
"</tr>" +
|
|
|
|
"</tbody>" +
|
|
|
|
"</table>" +
|
|
|
|
"</div>" +
|
|
|
|
"</div>";
|
|
|
|
}
|
2016-08-25 13:11:16 +02:00
|
|
|
|
2016-08-16 16:33:02 +02:00
|
|
|
function generate_offset_to_time(num){
|
|
|
|
var to_ret = {};
|
2016-08-23 07:19:51 +02:00
|
|
|
for(i=0; i<=num; i++) {
|
|
|
|
var t1 = new Date().getHours()-(23-i);
|
|
|
|
t1 = t1 < 0 ? 24+t1 : t1;
|
|
|
|
to_ret[i] = t1+'h';
|
|
|
|
}
|
2016-08-16 16:33:02 +02:00
|
|
|
return to_ret;
|
|
|
|
};
|
|
|
|
|
|
|
|
function generate_offset_to_date(day){
|
2016-08-17 09:46:25 +02:00
|
|
|
day = day-1;
|
2016-08-16 16:33:02 +02:00
|
|
|
var now = new Date();
|
|
|
|
var to_ret = {};
|
2016-08-17 09:46:25 +02:00
|
|
|
for(i=day; i>=0; i--){
|
2016-08-16 16:33:02 +02:00
|
|
|
for(j=0; j<24; j++){
|
2016-08-25 13:11:16 +02:00
|
|
|
var t1 =now.getDate()-i + ":";
|
2016-08-23 07:19:51 +02:00
|
|
|
var t2 =now.getHours()-(23-j);
|
|
|
|
t2 = t2 < 0 ? 24+t2 : t2;
|
|
|
|
t2 += "h";
|
2016-08-17 09:46:25 +02:00
|
|
|
to_ret[j+24*(day-i)] = t1+t2;
|
2016-08-16 16:33:02 +02:00
|
|
|
}
|
|
|
|
}
|
|
|
|
return to_ret;
|
|
|
|
};
|
|
|
|
|
|
|
|
var offset_to_time = generate_offset_to_time(23);
|
|
|
|
var offset_to_date = generate_offset_to_date(7);
|
2016-08-13 15:24:57 +02:00
|
|
|
|
|
|
|
var sparklineOptions = {
|
|
|
|
height: 80,//Height of the chart - Defaults to 'auto' (line height of the containing tag)
|
|
|
|
|
|
|
|
chartRangeMin: -1,
|
|
|
|
chartRangeMax: 1,
|
|
|
|
|
|
|
|
type: 'bar',
|
|
|
|
barSpacing: 0,
|
|
|
|
barWidth: 2,
|
|
|
|
barColor: '#00bf5f',
|
|
|
|
negBarColor: '#f22929',
|
2016-08-15 12:57:39 +02:00
|
|
|
zeroColor: '#ffff00',
|
2016-08-25 13:11:16 +02:00
|
|
|
|
2016-08-16 16:33:02 +02:00
|
|
|
tooltipFormat: '<span style="color: {{color}}">●</span> {{offset:names}}, {{value}} </span>',
|
2016-08-13 15:24:57 +02:00
|
|
|
};
|
|
|
|
|
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
/* Plot and queries */
|
|
|
|
|
|
|
|
var all_graph_day_sum = 0.0;
|
|
|
|
var all_graph_hour_sum = 0.0;
|
2016-08-25 15:06:18 +02:00
|
|
|
var all_graph_hour_sum_minus = 0.0;
|
2016-08-25 13:11:16 +02:00
|
|
|
var all_graph_hour_maxVal = 0.0;
|
|
|
|
var all_day_avg = 0.0;
|
|
|
|
var all_day_avg_maxVal = 0.0;
|
|
|
|
var graph_avg = [];
|
|
|
|
var all_data = [];
|
2016-08-25 15:06:18 +02:00
|
|
|
var provider_already_loaded = [];
|
|
|
|
var totNumGraph = 0;
|
|
|
|
|
2016-08-26 10:28:35 +02:00
|
|
|
// Query all providers name then launch the query and plot process for each of them.
|
|
|
|
// When everything is terminated, plot the widgets (Gauge, canvasJS, table)
|
|
|
|
// input: all - set to 'True' if you take all providers
|
2016-08-25 15:06:18 +02:00
|
|
|
function draw_page(all) {
|
2018-09-25 14:37:14 +02:00
|
|
|
$.getJSON(url_sentiment_analysis_getplotdata + "?getProviders=True&all="+all,
|
2016-08-25 15:06:18 +02:00
|
|
|
function(data) {
|
|
|
|
var promises = [];
|
|
|
|
|
|
|
|
var the_length = provider_already_loaded.length == 0 ? 0 : provider_already_loaded.length;
|
|
|
|
for(i=0; i<data.length; i++) {
|
|
|
|
if(provider_already_loaded.indexOf(data[i]) != -1) {
|
|
|
|
continue;
|
|
|
|
} else {
|
|
|
|
totNumGraph++;
|
|
|
|
if(i % 2 == 0) {
|
|
|
|
$("#today_divl").append(add_new_graph_today(i+the_length+1));
|
|
|
|
$("#week_divl").append(add_new_graph_week(i+the_length+1));
|
|
|
|
}
|
|
|
|
else {
|
|
|
|
$("#today_divr").append(add_new_graph_today(i+the_length+1));
|
|
|
|
$("#week_divr").append(add_new_graph_week(i+the_length+1));
|
|
|
|
}
|
|
|
|
provider_already_loaded.push(data[i])
|
|
|
|
promises.push(query_and_plot(data[i], i+the_length));
|
2016-08-25 13:11:16 +02:00
|
|
|
|
|
|
|
}
|
|
|
|
}
|
2016-08-25 15:06:18 +02:00
|
|
|
|
|
|
|
$.when.apply($, promises).done( function (arg) {
|
|
|
|
draw_widgets();
|
|
|
|
$("#LoadAll").show('fast');
|
|
|
|
});
|
|
|
|
}
|
2016-08-25 13:11:16 +02:00
|
|
|
);
|
|
|
|
}
|
|
|
|
|
|
|
|
|
2016-08-26 10:28:35 +02:00
|
|
|
// Query data and plot it for a given provider
|
|
|
|
// input - provider: The povider name to be plotted
|
|
|
|
// input - graphNum: The number of the graph (Use to plot on correct div)
|
2016-08-25 13:11:16 +02:00
|
|
|
function query_and_plot(provider, graphNum) {
|
2018-09-25 14:37:14 +02:00
|
|
|
var query_plot = $.getJSON(url_sentiment_analysis_getplotdata + "?provider="+provider,
|
2016-08-25 13:11:16 +02:00
|
|
|
function(data) {
|
|
|
|
var plot_data = [];
|
|
|
|
var array_provider = Object.keys(data);
|
|
|
|
var dates_providers = Object.keys(data[array_provider[0]]);
|
|
|
|
var dateStart = parseInt(dates_providers[0]);
|
|
|
|
var oneHour = 60*60;
|
|
|
|
var oneWeek = oneHour*24*7;
|
|
|
|
|
2016-08-15 12:57:39 +02:00
|
|
|
var max_value = 0.0;
|
2016-08-17 10:43:43 +02:00
|
|
|
var max_value_day = 0.0;
|
2016-08-13 15:24:57 +02:00
|
|
|
var graph_data = [];
|
|
|
|
var spark_data = [];
|
2016-08-25 13:11:16 +02:00
|
|
|
var curr_provider = array_provider[0];
|
2016-08-13 22:17:11 +02:00
|
|
|
var curr_sum = 0.0;
|
2016-08-16 16:33:02 +02:00
|
|
|
var curr_sum_elem = 0.0;
|
2016-08-13 22:17:11 +02:00
|
|
|
var day_sum = 0.0;
|
2016-08-16 16:33:02 +02:00
|
|
|
var day_sum_elem = 0.0;
|
2016-08-15 12:57:39 +02:00
|
|
|
var hour_sum = 0.0;
|
2016-08-13 15:24:57 +02:00
|
|
|
|
2016-08-17 09:46:25 +02:00
|
|
|
for(curr_date=dateStart+oneHour; curr_date<=dateStart+oneWeek; curr_date+=oneHour){
|
2016-08-13 15:24:57 +02:00
|
|
|
var data_array = data[curr_provider][curr_date];
|
|
|
|
|
|
|
|
if (data_array.length == 0){
|
|
|
|
graph_data.push({'neg': 0.0, 'neu': 0.0, 'pos': 0.0, 'compoundPos': 0.0, 'compoundNeg': 0.0});
|
|
|
|
spark_data.push(0);
|
2016-08-15 12:57:39 +02:00
|
|
|
} else { //compute avg for a given date for a given graph
|
2016-08-13 15:24:57 +02:00
|
|
|
var compPosAvg = 0;
|
|
|
|
var compNegAvg = 0;
|
|
|
|
var pos = 0;
|
|
|
|
var neg = 0;
|
|
|
|
var neu = 0;
|
|
|
|
|
|
|
|
for(i=0; i<data_array.length; i++){
|
|
|
|
var curr_data = jQuery.parseJSON(data_array[i].replace(/\'/g, '\"'));
|
|
|
|
compPosAvg += curr_data['compoundPos'];
|
|
|
|
compNegAvg += curr_data['compoundNeg'];
|
|
|
|
pos += curr_data['pos'];
|
|
|
|
neg += curr_data['neg'];
|
|
|
|
neu += curr_data['neu'];
|
|
|
|
}
|
|
|
|
compPosAvg = compPosAvg/data_array.length;
|
|
|
|
compNegAvg = compNegAvg/data_array.length;
|
|
|
|
pos = pos/data_array.length;
|
|
|
|
neg = neg/data_array.length;
|
|
|
|
neu = neu/data_array.length;
|
|
|
|
|
|
|
|
graph_data.push({'neg': neg, 'neu': neu, 'pos': pos, 'compoundPos': compPosAvg, 'compoundNeg': compNegAvg});
|
|
|
|
spark_data.push(pos-neg);
|
2016-08-13 22:17:11 +02:00
|
|
|
curr_sum += (pos-neg);
|
2016-08-16 16:33:02 +02:00
|
|
|
curr_sum_elem++;
|
2016-08-15 12:57:39 +02:00
|
|
|
max_value = Math.abs(pos-neg) > max_value ? Math.abs(pos-neg) : max_value;
|
2016-08-13 22:17:11 +02:00
|
|
|
|
2016-08-17 09:46:25 +02:00
|
|
|
if(curr_date >= dateStart+oneWeek-23*oneHour){
|
2016-08-26 10:28:35 +02:00
|
|
|
max_value_day = Math.abs(pos-neg) > max_value_day ? Math.abs(pos-neg) : max_value_day; day_sum += (pos-neg);
|
2016-08-16 16:33:02 +02:00
|
|
|
day_sum_elem++;
|
2016-08-13 22:17:11 +02:00
|
|
|
}
|
2016-08-17 10:43:43 +02:00
|
|
|
if(curr_date > dateStart+oneWeek-2*oneHour && curr_date <=dateStart+oneWeek-oneHour){
|
2016-08-15 12:57:39 +02:00
|
|
|
hour_sum += (pos-neg);
|
|
|
|
}
|
2016-08-13 22:17:11 +02:00
|
|
|
|
2016-08-13 15:24:57 +02:00
|
|
|
}
|
|
|
|
}
|
2016-08-15 12:57:39 +02:00
|
|
|
all_graph_day_sum += day_sum;
|
|
|
|
all_graph_hour_sum += hour_sum;
|
2016-08-25 15:06:18 +02:00
|
|
|
all_graph_hour_sum_minus += hour_sum > 0 ? 0 : 1;
|
2016-08-17 10:43:43 +02:00
|
|
|
all_graph_hour_maxVal = Math.abs(hour_sum) > all_graph_hour_maxVal ? Math.abs(hour_sum) : all_graph_hour_maxVal;
|
2016-08-15 12:57:39 +02:00
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
var curr_avg = curr_sum / (curr_sum_elem);
|
2016-08-20 18:48:24 +02:00
|
|
|
if(isNaN(curr_avg))
|
|
|
|
curr_avg = 0.0
|
2016-08-15 12:57:39 +02:00
|
|
|
graph_avg.push([curr_provider, curr_avg]);
|
2016-08-13 15:24:57 +02:00
|
|
|
plot_data.push(spark_data);
|
2016-08-13 22:17:11 +02:00
|
|
|
all_data.push(graph_data);
|
2016-08-25 13:11:16 +02:00
|
|
|
|
2016-08-15 12:57:39 +02:00
|
|
|
|
|
|
|
sparklineOptions.chartRangeMax = max_value;
|
|
|
|
sparklineOptions.chartRangeMin = -max_value;
|
2016-08-16 16:33:02 +02:00
|
|
|
sparklineOptions.tooltipValueLookups = { names: offset_to_date};
|
|
|
|
|
2016-08-13 22:17:11 +02:00
|
|
|
// print week
|
2016-08-13 15:24:57 +02:00
|
|
|
var num = graphNum + 1;
|
2016-08-13 22:17:11 +02:00
|
|
|
var placeholder = '.sparkLineStatsWeek' + num;
|
2016-08-20 18:48:24 +02:00
|
|
|
sparklineOptions.barWidth = 2;
|
2016-08-25 13:11:16 +02:00
|
|
|
$(placeholder).sparkline(plot_data[0], sparklineOptions);
|
2016-08-15 12:57:39 +02:00
|
|
|
$(placeholder+'t').text(curr_provider);
|
2016-08-25 13:11:16 +02:00
|
|
|
var curr_avg_text = isNaN(curr_avg) ? "No data" : curr_avg.toFixed(5);
|
2016-08-18 15:34:19 +02:00
|
|
|
$(placeholder+'s').text(curr_avg_text);
|
2016-08-25 13:11:16 +02:00
|
|
|
|
2016-08-16 11:23:14 +02:00
|
|
|
sparklineOptions.barWidth = 18;
|
2016-08-16 16:33:02 +02:00
|
|
|
sparklineOptions.tooltipFormat = '<span style="color: {{color}}">●</span> Avg: {{value}} </span>'
|
2016-08-13 22:17:11 +02:00
|
|
|
$(placeholder+'b').sparkline([curr_avg], sparklineOptions);
|
2016-08-16 16:33:02 +02:00
|
|
|
sparklineOptions.tooltipFormat = '<span style="color: {{color}}">●</span> {{offset:names}}, {{value}} </span>'
|
2016-08-17 10:43:43 +02:00
|
|
|
|
2016-08-16 16:33:02 +02:00
|
|
|
sparklineOptions.tooltipValueLookups = { names: offset_to_time};
|
2016-08-17 10:43:43 +02:00
|
|
|
sparklineOptions.chartRangeMax = max_value_day;
|
|
|
|
sparklineOptions.chartRangeMin = -max_value_day;
|
2016-08-13 15:24:57 +02:00
|
|
|
|
2016-08-18 15:34:19 +02:00
|
|
|
var avgName = ".pannelWeek" + num;
|
|
|
|
if (curr_avg > 0) {
|
|
|
|
$(avgName).addClass("panel-success")
|
|
|
|
} else if(curr_avg < 0) {
|
|
|
|
$(avgName).addClass("panel-danger")
|
|
|
|
} else if(isNaN(curr_avg)) {
|
|
|
|
$(avgName).addClass("panel-info")
|
|
|
|
} else {
|
|
|
|
$(avgName).addClass("panel-warning")
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
2016-08-13 22:17:11 +02:00
|
|
|
// print today
|
2016-08-25 13:11:16 +02:00
|
|
|
var data_length = plot_data[0].length;
|
|
|
|
var data_today = plot_data[0].slice(data_length-24, data_length);
|
2016-08-13 15:24:57 +02:00
|
|
|
|
2016-08-13 22:17:11 +02:00
|
|
|
placeholder = '.sparkLineStatsToday' + num;
|
|
|
|
sparklineOptions.barWidth = 14;
|
|
|
|
$(placeholder).sparkline(data_today, sparklineOptions);
|
2016-08-15 12:57:39 +02:00
|
|
|
$(placeholder+'t').text(curr_provider);
|
2016-08-13 15:24:57 +02:00
|
|
|
|
2016-08-16 11:23:14 +02:00
|
|
|
sparklineOptions.barWidth = 18;
|
2016-08-16 16:33:02 +02:00
|
|
|
sparklineOptions.tooltipFormat = '<span style="color: {{color}}">●</span> Avg: {{value}} </span>'
|
|
|
|
//var day_avg = day_sum/24;
|
2016-08-17 09:46:25 +02:00
|
|
|
var day_avg = isNaN(day_sum/day_sum_elem) ? 0 : day_sum/day_sum_elem;
|
|
|
|
var day_avg_text = isNaN(day_sum/day_sum_elem) ? 'No data' : (day_avg).toFixed(5);
|
|
|
|
all_day_avg += day_avg;
|
2016-08-17 10:43:43 +02:00
|
|
|
all_day_avg_maxVal = Math.abs(day_avg) > all_day_avg_maxVal ? Math.abs(day_avg) : all_day_avg_maxVal;
|
2016-08-16 16:33:02 +02:00
|
|
|
$(placeholder+'b').sparkline([day_avg], sparklineOptions);
|
|
|
|
sparklineOptions.tooltipFormat = '<span style="color: {{color}}">●</span> {{offset:names}}, {{value}} </span>'
|
2016-08-17 09:46:25 +02:00
|
|
|
$(placeholder+'s').text(day_avg_text);
|
2016-08-13 15:24:57 +02:00
|
|
|
|
2016-08-18 15:34:19 +02:00
|
|
|
avgName = ".pannelToday" + num;
|
|
|
|
if (day_avg > 0) {
|
|
|
|
$(avgName).addClass("panel-success")
|
|
|
|
} else if(day_avg < 0) {
|
|
|
|
$(avgName).addClass("panel-danger")
|
|
|
|
} else if(isNaN(day_sum/day_sum_elem)) {
|
|
|
|
$(avgName).addClass("panel-info")
|
|
|
|
} else {
|
|
|
|
$(avgName).addClass("panel-warning")
|
|
|
|
}
|
|
|
|
|
2016-08-13 15:24:57 +02:00
|
|
|
|
2016-08-15 12:57:39 +02:00
|
|
|
}
|
2016-08-25 13:11:16 +02:00
|
|
|
);
|
|
|
|
return query_plot
|
|
|
|
}
|
2016-08-15 12:57:39 +02:00
|
|
|
|
|
|
|
|
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
function draw_widgets() {
|
2016-08-25 15:06:18 +02:00
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
/* ---------------- Gauge ---------------- */
|
|
|
|
var gaugeOptions = {
|
|
|
|
animateEasing: true,
|
2016-08-12 10:22:24 +02:00
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
elementWidth: 200,
|
|
|
|
elementHeight: 125,
|
2016-08-12 10:22:24 +02:00
|
|
|
|
2016-08-25 13:11:16 +02:00
|
|
|
arcFillStart: 10,
|
|
|
|
arcFillEnd: 12,
|
|
|
|
arcFillTotal: 20,
|
|
|
|
incTot: 1.0,
|
2016-08-12 10:22:24 +02:00
|
|
|
|
2016-08-25 15:06:18 +02:00
|
|
|
arcBgColorLight: 200,
|
|
|
|
arcBgColorSat: 0,
|
|
|
|
arcStrokeFg: 20,
|
|
|
|
arcStrokeBg: 30,
|
|
|
|
|
|
|
|
colorArcFg: '#FF3300',
|
|
|
|
animateSpeed: 1,
|
|
|
|
|
|
|
|
};
|
|
|
|
// Clone object
|
|
|
|
var gaugeOptions2 = jQuery.extend(true, {}, gaugeOptions);
|
|
|
|
var gaugeOptions3 = jQuery.extend(true, {}, gaugeOptions);
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
gaugeOptions.appendTo = '#gauge_today_last_hour';
|
|
|
|
gaugeOptions.dialLabel = 'Last hour';
|
|
|
|
gaugeOptions.elementId = 'gauge1';
|
|
|
|
var piePercent = (all_graph_hour_sum / (totNumGraph - all_graph_hour_sum_minus)) / all_graph_hour_maxVal;
|
|
|
|
gaugeOptions.inc = piePercent;
|
|
|
|
var gauge_today_last_hour = new FlexGauge(gaugeOptions);
|
|
|
|
|
|
|
|
gaugeOptions2.appendTo = '#gauge_today_last_days';
|
|
|
|
gaugeOptions2.dialLabel = 'Today';
|
|
|
|
gaugeOptions2.elementId = 'gauge2';
|
|
|
|
piePercent = (all_day_avg / totNumGraph) / all_day_avg_maxVal;
|
|
|
|
gaugeOptions2.inc = piePercent;
|
|
|
|
var gauge_today_last_days = new FlexGauge(gaugeOptions2);
|
|
|
|
|
|
|
|
gaugeOptions3.appendTo = '#gauge_week';
|
|
|
|
gaugeOptions3.dialLabel = 'Week';
|
|
|
|
gaugeOptions3.elementId = 'gauge3';
|
|
|
|
|
|
|
|
var graph_avg_sum = 0.0;
|
|
|
|
var temp_max_val = 0.0;
|
|
|
|
for (i=0; i<graph_avg.length; i++){
|
|
|
|
graph_avg_sum += graph_avg[i][1];
|
|
|
|
temp_max_val = Math.abs(graph_avg[i][1]) > temp_max_val ? Math.abs(graph_avg[i][1]) : temp_max_val;
|
|
|
|
}
|
|
|
|
|
|
|
|
piePercent = (graph_avg_sum / graph_avg.length) / temp_max_val;
|
|
|
|
gaugeOptions3.inc = piePercent;
|
|
|
|
var gauge_today_last_days = new FlexGauge(gaugeOptions3);
|
|
|
|
|
|
|
|
|
|
|
|
/* --------- Sort providers -------- */
|
|
|
|
|
|
|
|
graph_avg.sort(function(a, b){return b[1]-a[1]});
|
|
|
|
|
|
|
|
for (i=1; i<6; i++){
|
|
|
|
$('.worst'+i).text(graph_avg[7-(i-1)][0]);
|
|
|
|
$('.best'+i).text(graph_avg[i-1][0]);
|
|
|
|
}
|
|
|
|
|
|
|
|
/* ----------- CanvasJS ------------ */
|
|
|
|
|
|
|
|
var comp_sum_day_pos = 0.0;
|
|
|
|
var comp_sum_day_neg = 0.0;
|
|
|
|
var comp_sum_hour_pos = 0.0;
|
|
|
|
var comp_sum_hour_neg = 0.0;
|
|
|
|
for(graphNum=0; graphNum<totNumGraph; graphNum++){
|
|
|
|
curr_graphData = all_data[graphNum];
|
|
|
|
var gauge_data = curr_graphData.slice(curr_graphData.length-24, curr_graphData.length);
|
|
|
|
for (i=1; i< gauge_data.length; i++){
|
|
|
|
comp_sum_day_pos += gauge_data[i].compoundPos;
|
|
|
|
comp_sum_day_neg += gauge_data[i].compoundNeg;
|
|
|
|
|
|
|
|
if(i == 23){
|
|
|
|
comp_sum_hour_pos += gauge_data[i].compoundPos;
|
|
|
|
comp_sum_hour_neg += gauge_data[i].compoundNeg;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
var options_canvasJS_1 = {
|
|
|
|
|
|
|
|
animationEnabled: true,
|
|
|
|
axisY: {
|
|
|
|
tickThickness: 0,
|
|
|
|
lineThickness: 0,
|
|
|
|
valueFormatString: " ",
|
|
|
|
gridThickness: 0
|
|
|
|
},
|
|
|
|
axisX: {
|
|
|
|
tickThickness: 0,
|
|
|
|
lineThickness: 0,
|
|
|
|
labelFontSize: 0.1,
|
|
|
|
},
|
|
|
|
data: [
|
|
|
|
{
|
|
|
|
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Positive: </strong></span><span><strong>{y}</strong></span>",
|
|
|
|
type: "bar",
|
|
|
|
color: "green",
|
|
|
|
dataPoints: [
|
|
|
|
{y: comp_sum_hour_pos/totNumGraph}
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Negative: </strong></span><span><strong>{y}</strong></span>",
|
|
|
|
type: "bar",
|
|
|
|
color: "red",
|
|
|
|
dataPoints: [
|
|
|
|
{y: comp_sum_hour_neg/totNumGraph}
|
|
|
|
]
|
|
|
|
}
|
|
|
|
]
|
|
|
|
};
|
|
|
|
|
|
|
|
var chart_canvas1 = new CanvasJS.Chart("bar_today_last_hour", options_canvasJS_1);
|
|
|
|
|
|
|
|
var options_canvasJS_2 = {
|
|
|
|
|
|
|
|
animationEnabled: true,
|
|
|
|
axisY: {
|
|
|
|
tickThickness: 0,
|
|
|
|
lineThickness: 0,
|
|
|
|
valueFormatString: " ",
|
|
|
|
gridThickness: 0
|
|
|
|
},
|
|
|
|
axisX: {
|
|
|
|
tickThickness: 0,
|
|
|
|
lineThickness: 0,
|
|
|
|
labelFontSize: 0.1,
|
|
|
|
},
|
|
|
|
data: [
|
|
|
|
{
|
|
|
|
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Positive: </strong></span><span><strong>{y}</strong></span>",
|
|
|
|
type: "bar",
|
|
|
|
color: "green",
|
|
|
|
dataPoints: [
|
|
|
|
{y: comp_sum_day_pos/totNumGraph}
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
toolTipContent: "<span style='\"'color: {color};'\"'><strong>Negative: </strong></span><span><strong>{y}</strong></span>",
|
|
|
|
type: "bar",
|
|
|
|
color: "red",
|
|
|
|
dataPoints: [
|
|
|
|
{y: comp_sum_day_neg/totNumGraph}
|
|
|
|
]
|
|
|
|
}
|
|
|
|
]
|
|
|
|
};
|
|
|
|
|
|
|
|
var chart_canvas2 = new CanvasJS.Chart("bar_today_last_days", options_canvasJS_2);
|
|
|
|
|
|
|
|
chart_canvas1.render();
|
|
|
|
chart_canvas2.render();
|
|
|
|
|
|
|
|
}
|