daniellockyer · November 23, 2018 03:59
diff --git a/hist.php b/hist.php
 <?php
    require_once(__DIR__.'/vendor/autoload.php');

    function remove_outliers($dataset, $magnitude = 1) {
        $count = count($dataset);
        $mean = array_sum($dataset) / $count;
        $deviation = sqrt(array_sum(array_map("sd_square", $dataset, array_fill(0, $count, $mean))) / $count) * $magnitude;
        return array_filter($dataset, function($x) use ($mean, $deviation) { return ($x <= $mean + $deviation && $x >= $mean - $deviation); });
    }

    function sd_square($x, $mean) { return pow($x - $mean, 2); }

    $config = new \IcyApril\Tail\Config("/var/log/php7.2-fpm.access.log");
    $config->setLines(100000);
    $tail = new \IcyApril\Tail\Tail($config);

    $lines = explode("\n", $tail->getTail());
    $data = $finalData = array();

    foreach($lines as $line) {
        //if (!stripos($line, "<filter>")) continue; // Replace <filter> with something you want to filter by
        $time = (int) round(strstr($line, " ", true));
        array_push($data, $time);
    }

    $data = remove_outliers($data);
    foreach(array_count_values($data) as $k => $v) array_push($finalData, array("x" => $k, "y" => $v));    
 ?>
 <!DOCTYPE HTML>
 <html>
    <body>
        <div id="chart" style="height:480px; width:640px;"></div>
        <script src="https://canvasjs.com/assets/script/canvasjs.min.js"></script>
        <script>
            window.onload = function() {
                var chart = new CanvasJS.Chart("chart", {
                	theme: "light2",
                    axisX: { title: "Time (ms)", titleFontSize: 14 },
                	axisY: { maximum: 500 },
                	data: [{ type: "column", dataPoints: <?php echo json_encode($finalData, JSON_NUMERIC_CHECK); ?> }]
                });
                chart.render();
            };
        </script>
    </body>
 </html>
	<?php
	require_once(__DIR__.'/vendor/autoload.php');

	function remove_outliers($dataset, $magnitude = 1) {
	$count = count($dataset);
	$mean = array_sum($dataset) / $count;
	$deviation = sqrt(array_sum(array_map("sd_square", $dataset, array_fill(0, $count, $mean))) / $count) * $magnitude;
	return array_filter($dataset, function($x) use ($mean, $deviation) { return ($x <= $mean + $deviation && $x >= $mean - $deviation); });
	}

	function sd_square($x, $mean) { return pow($x - $mean, 2); }

	$config = new \IcyApril\Tail\Config("/var/log/php7.2-fpm.access.log");
	$config->setLines(100000);
	$tail = new \IcyApril\Tail\Tail($config);

	$lines = explode("\n", $tail->getTail());
	$data = $finalData = array();

	foreach($lines as $line) {
	//if (!stripos($line, "<filter>")) continue; // Replace <filter> with something you want to filter by
	$time = (int) round(strstr($line, " ", true));
	array_push($data, $time);
	}

	$data = remove_outliers($data);
	foreach(array_count_values($data) as $k => $v) array_push($finalData, array("x" => $k, "y" => $v));
	?>
	<!DOCTYPE HTML>
	<html>
	<body>
	<div id="chart" style="height:480px; width:640px;"></div>
	<script src="https://canvasjs.com/assets/script/canvasjs.min.js"></script>
	<script>
	window.onload = function() {
	var chart = new CanvasJS.Chart("chart", {
	theme: "light2",
	axisX: { title: "Time (ms)", titleFontSize: 14 },
	axisY: { maximum: 500 },
	data: [{ type: "column", dataPoints: <?php echo json_encode($finalData, JSON_NUMERIC_CHECK); ?> }]
	});
	chart.render();
	};
	</script>
	</body>
	</html>