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active_speedtest_one_dev.php
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<?php
require_once 'dbconfig.php';
/* Your Database Name */
$dbname = 'speedtest';
try {
/* Establish the database connection */
$conn = new PDO("mysql:host=localhost;dbname=$dbname", $username, $password);
$conn->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
/* Function to convert datetime string to JSON compatible datetime
Borrowed from here: https://www.agcross.com/2014/10/using-php-to-convert-mysql-datetimes-to-javascript-format/ */
function JSdate($in,$type){
if($type=='date'){
//Dates are patterned 'yyyy-MM-dd'
preg_match('/(\d{4})-(\d{2})-(\d{2})/', $in, $match);
} elseif($type=='datetime'){
//Datetimes are patterned 'yyyy-MM-dd hh:mm:ss'
preg_match('/(\d{4})-(\d{2})-(\d{2})\s(\d{2}):(\d{2}):(\d{2})/', $in, $match);
}
$year = (int) $match[1];
$month = (int) $match[2] - 1; // Month conversion between indexes
$day = (int) $match[3];
if ($type=='date'){
return "Date($year, $month, $day)";
} elseif ($type=='datetime'){
$hours = (int) $match[4];
$minutes = (int) $match[5];
$seconds = (int) $match[6];
return "Date($year, $month, $day, $hours, $minutes, $seconds)";
}
}
//SPEED CHART
/* select all the weekly tasks from the table googlechart */
$dresult = $conn->query('SELECT starttime, download, upload FROM speeddata');
$drows = array();
$dtable = array();
$dtable['cols'] = array(
// Labels for your chart, these represent the column titles.
array('label' => 'StartTime', 'type' => 'datetime'),
array('label' => 'Download Speed', 'type' => 'number'),
array('label' => 'Upload Speed', 'type' => 'number')//,
//array('label' => 'Server', 'type' => 'string', 'role' => 'tooltip')
);
/* Extract the information from $result */
foreach($dresult as $d) {
$date = JSdate($d['starttime'],datetime);
//echo JSdate($d['starttime'],datetime);
$dtemp = array();
// the following line will be used to slice the chart+
$new_value = array();
for ($i=0; $i < count($new_value);
$i++): array_push($new_value, $date[$i]);
endfor;
$dtemp[] = array('v' => $date);
// Values of each slice
$dtemp[] = array('v' => (DOUBLE) $d['download']);
$dtemp[] = array('v' => (DOUBLE) $d['upload']);
$dtemp[] = array('v' => $d['server_name']);
$drows[] = array('c' => $dtemp);
}
$dtable['rows'] = $drows;
#PING CHART
/* select all the weekly tasks from the table googlechart */
$presult = $conn->query('SELECT starttime, server_ping, server_name FROM speeddata');
$prows = array();
$ptable = array();
$ptable['cols'] = array(
// Labels for your chart, these represent the column titles.
array('label' => 'StartTime', 'type' => 'datetime'),
array('label' => 'Ping', 'type' => 'number'),
//array('label' => 'Ping', 'type' => 'number')
);
/* Extract the information from $result */
foreach($presult as $p) {
$date = JSdate($p['starttime'],datetime);
//echo JSdate($p['starttime'],'datetime');
$ptemp = array();
// the following line will be used to slice the chart+
$new_value = array();
for ($i=0; $i < count($new_value);
$i++): array_push($new_value, $date[$i]);
endfor;
$ptemp[] = array('v' => $date);
// Values of each slice
$ptemp[] = array('v' => (DOUBLE) $p['server_ping']);
$temp[] = array('v' => (STRING) $r['server_name']);
$prows[] = array('c' => $ptemp);
}
$ptable['rows'] = $prows;
// convert data into JSON format
$djsonTable = json_encode($dtable);
//echo $djsonTable;
//$ujsonTable = json_encode($utable);
//echo $ujsonTable;
$pjsonTable = json_encode($ptable);
//echo $pjsonTable;
} catch(PDOException $e) {
echo 'ERROR: ' . $e->getMessage();
}
?>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0 user-scalable=yes">
<meta name="HandheldFriendly" content="True">
<meta name="MobileOptimized" content="320">
<meta name="author" content="Steve Wright">
<link rel="shortcut icon" href="favicon.ico" >
<link rel="stylesheet" type="text/css" href="wrightfamily.css">
<script src="wrightfamily.js"></script>
<title>Speedtest Data</title>
<!--Reload page on resize-->
<script type="text/javascript">
var currheight = document.documentElement.clientHeight;
window.onresize = function(){
if(currheight != document.documentElement.clientHeight) {
location.replace(location.href);
}
}
</script>
<!--Load the Ajax API
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
<script type="text/javascript">-->
<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
// Load the current API and the corechart package.
google.charts.load('current', {packages: ['corechart']});
// Set a callback to run when the Google current API is loaded.
google.charts.setOnLoadCallback(downloadChart);
google.charts.setOnLoadCallback(pingChart);
//google.charts.setOnLoadCallback(uploadChart);
// Create Charts
function downloadChart() {
// Create our data table out of JSON data loaded from server.
var ddata = new google.visualization.DataTable(<?=$djsonTable?>);
var options = {
//title: 'Speedtest Data',
//titleposition: 'omit',
is3D: 'false',
width: '100%',
height: 500,
//explorer: {},
lineWidth: 1,
hAxis:{title: 'Time',
titleTextStyle: {color: 'black',
fontSize: 18},
direction:1,
slantedText:true,
slantedTextAngle:90,
textStyle : {color: 'black',
fontSize: 12}
},
vAxis:{title: 'Speed Mbit/s',
titleTextStyle: {color: 'black',
fontSize: 18}
},
legend:{position: 'bottom',
textStyle:{color: 'black',
fontSize: 10}
},
chartArea:{top: 30, height: '70%',
left: 75,
right: 50,
backgroundColor: {
stroke: '#ccc',
strokeWidth: 1}
},
trendlines:{0: {color: 'red',
lineWidth: 2,
fontSize: 3,
tooltip: false,
opacity: 0.75,
pointsVisible: false,
visibleInLegend: true
}, // Draw a trendline for data series 0.
1: {color: 'green',
lineWidth: 2,
fontSize: 3,
tooltip: false,
opacity: 0.75,
pointsVisible: false,
visibleInLegend: true
}
},
tooltip:{textStyle: {
color: 'black',
fontSize: 10,
bold: true,
//italic: true,
// The color of the text.
//color: '#871b47',
// The color of the text outline.
//auraColor: '#d799ae',
// The transparency of the text.
//opacity: 1,
}
}
};
// Instantiate and draw our chart, passing in some options.
// Do not forget to check your div ID
var chart = new google.visualization.LineChart(document.getElementById('download_chart_div'));
chart.draw(ddata, options);
}
function uploadChart() {
// Create our data table out of JSON data loaded from server.
var udata = new google.visualization.DataTable(<?=$ujsonTable?>);
var options = {
//title: 'Speedtest Data',
//titleposition: 'omit',
is3D: 'false',
width: '100%',
height: 500,
//explorer: {},
lineWidth: 1,
hAxis:{title: 'Time',
titleTextStyle: {color: 'black',
fontSize: 18},
direction:1,
slantedText:true,
slantedTextAngle:90,
textStyle : {color: 'black',
fontSize: 12}
},
vAxis:{title: 'Speed Mbit/s',
titleTextStyle: {color: 'black',
fontSize: 18}
},
legend:{position: 'bottom',
textStyle:{color: 'black',
fontSize: 10}
},
chartArea:{top: 30, height: '70%',
left: 75,
right: 50,
backgroundColor: {
stroke: '#ccc',
strokeWidth: 1}
},
trendlines:{0: {color: 'red',
lineWidth: 2,
fontSize: 3,
tooltip: false,
opacity: 0.75,
pointsVisible: false,
visibleInLegend: true
}
}, // Draw a trendline for data series 0.
tooltip:{textStyle: {
color: 'black',
fontSize: 10,
bold: true,
//italic: true,
// The color of the text.
//color: '#871b47',
// The color of the text outline.
//auraColor: '#d799ae',
// The transparency of the text.
//opacity: 1,
}
}
};
// Instantiate and draw our chart, passing in some options.
// Do not forget to check your div ID
var chart = new google.visualization.LineChart(document.getElementById('upload_chart_div'));
chart.draw(udata, options);
}
function pingChart() {
// Create our data table out of JSON data loaded from server.
var pdata = new google.visualization.DataTable(<?=$pjsonTable?>);
var options = {
//title: 'Speedtest Data',
//titleposition: 'omit',
is3D: 'false',
width: '100%',
height: 500,
//explorer: {},
lineWidth: 1,
hAxis:{title: 'Time',
titleTextStyle: {color: 'black',
fontSize: 18},
direction:1,
slantedText:true,
slantedTextAngle:90,
textStyle : {color: 'black',
fontSize: 12}
},
vAxis:{title: 'Time ms',
titleTextStyle: {color: 'black',
fontSize: 18}
},
legend:{position: 'bottom',
textStyle:{color: 'black',
fontSize: 10}
},
chartArea:{top: 30, height: '70%',
left: 75,
right: 50,
backgroundColor: {
stroke: '#ccc',
strokeWidth: 1}
},
trendlines:{0: {color: 'red',
lineWidth: 2,
fontSize: 3,
tooltip: false,
opacity: 0.75,
pointsVisible: false,
visibleInLegend: true
}
}, // Draw a trendline for data series 0.
tooltip:{textStyle: {
color: 'black',
fontSize: 10,
bold: true,
//italic: true,
// The color of the text.
//color: '#871b47',
// The color of the text outline.
//auraColor: '#d799ae',
// The transparency of the text.
//opacity: 1,
},
}
};
// Instantiate and draw our chart, passing in some options.
// Do not forget to check your div ID
var chart = new google.visualization.LineChart(document.getElementById('ping_chart_div'));
chart.draw(pdata, options);
}
</script>
</head>
<body class="site">
<?php include("includes/header.php")?>
<main class="site-content">
<!--this is the div that will hold the pie chart-->
<h3> Speed test data</h3>
<p>Connection:- 200/20Mbit/s Ultra Fast Broadband - FibreX by Vodafone NZ.</p>
<h4>Hardware profile</h4>
<ul>
<li>Linux box running Ubuntu 16.04</li>
<li>Gigabit wired Ethernet connection running through a standard Vodafone issue HG659 Router and Technicolor broadband modem</li>
<li>CAT 6 Cabling</li>
</ul>
<h4>Software profile</h4>
<ul>
<li>Perl script triggering speedtest-cli by Sivel available from <a href = https://github.com/sivel/speedtest-cli target=_blank>here</a></li>
</ul>
<h4>Repair Log</h4>
<p>This log records repairs to the network carried out to try and fix speed issues. Goal is to get upload speed consistantly
between 180 and 200Mbits/s and the upload speed to between 18 and 20 Mbits/s.</p>
<p><b>17 April 2017</b> - Downer Technician analysed Vodaforne network - determined there was a fault in the street
which probably effects 3 of 4 customers locally. Connection apparently wired backwards for FibreX.<p>
<p><b>19 April 2017</b> - Vodafone chased up Downers again.</p>
<p>Away for a week</p>
<p><b>28 April 2017</b> - Vodafone completed the required reconfiguration of the cabinet at the top of the street.</p>
<p><b>04 May 2017</b> - Vodafone Modem replaced. Router not replaced at this stage.
Will monitor speed over the next few weeks and report back.</p>
<p><b>05 May 2017</b> - Download maybe starting to stabilise - time will tell.</p>
<p><b>29 May 2017</b> - Well time did tell - nearly a month and I've still got a crappy connection. Have messaged Vodafone
yet again to have another go at getting it sorted.</p>
<h4>Test Results</h4>
<p>The following charts show Speedtest results run since mid-January 2016.</p>
<div id="chart_title">Download and Upload Speedtest Data</div>
<div id="download_chart_div"></div>
<hr><br>
<!--<div id="chart_title">Upload Speed</div>
<div id="upload_chart_div"></div>
<hr><br>-->
<div id="chart_title">Ping Data</div>
<div id="ping_chart_div"></div>
<p>These results are used for determining long term trends and for monitoring
excessive drops in speed.</p>
</main>
<?php $pagemodified = filemtime(__FILE__);
include("includes/footer.php");?>
</body>
</html>