function display_content()
{
global $date_label, $filters, $has_filters, $ss, $loaded_data, $is_archive, $field_names;
echo '<div id="main">';
$date_label = htmlspecialchars(date_label($filters));
echo "<h1>{$date_label}</h1>";
if ($has_filters) {
echo '<div id="filter-notice" class="wide center">';
foreach ($field_names as $field => $name) {
if (isset($filters[$field])) {
$label = htmlspecialchars(get_value_label($field, $filters[$field]));
echo "<span class='active-filter'><a class='clear-filter hide-if-no-js' data-filter='filter_{$field}'>×</a> {$name}: <var>{$label}</var></span> ";
}
}
echo '</div>';
}
if (!$ss->options['stats_enabled']) {
echo '<div id="disabled"><p class="center">' . __('Simple Stats is currently disabled.') . '</p></div>';
}
table_summary();
if (!empty($loaded_data['pages'])) {
echo '<h2>' . __('Content') . '</h2>';
chart(isset($filters['dy']) ? 'hours' : 'days');
table_total('resource', 'wide');
echo '<h2>Visitors</h2>';
table_total('remote_ip');
table_percent('browser');
table_percent('platform');
table_percent('country');
table_percent('language');
echo '<h2>Referrers</h2>';
table_total('search_terms');
table_total('domain');
table_total('referrer', 'wide');
visit_source();
} else {
echo '<p class="center">' . __('There is no data available for the date/filters you have selected.');
}
echo '</div>';
}
<?php
}
?>
<!DOCTYPE html>
<html lang="ja">
<head>
<meta charset="UTF-8">
<title>SNS Photos</title>
<link rel="stylesheet" type="text/css" href="../css/css_sns.css">
<!--AJAX APIの読み込み-->
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript" src="scriptUtil.php"></script>
<script type="text/javascript">
//SNSごとの割合の円グラフを表示する処理の取得
<?php
chart($_GET['sns'], $result_category);
?>
</script>
</head>
<body>
<!--ヘッダー-->
<div id="header">
<div class="title">
<a href="<?php
echo ROOT_URL;
?>
">
<span style="vertical-align: middle; font-size: 35px;">SNS Photos</span>
</a>
<span style="vertical-align: 3px; font-size: 50%; margin-left: 20px">
SNSに投稿されている画像の傾向分析サイト
function xml(){
return formatGreaterAndSmallerSymbols(chart());
}
function statisticsExecTime($func, array $params, $xAxis)
{
set_time_limit(170);
$func_name = '';
if (is_array($func)) {
if (!method_exists($func[0], $func[1])) {
return false;
}
$func_name = object_name($func[0]) . '->' . $func[1];
} else {
if (is_string($func)) {
if (!function_exists($func)) {
return false;
}
$func_name = $func;
} else {
if (is_callable($func)) {
// if(! function_exists($func)){
// return false;
// }
$func_name = 'Closure';
} else {
return false;
}
}
}
$mem = [];
$time = [];
foreach ($params as $v) {
mark('start');
$result = call_user_func_array($func, (array) $v);
$time[] = floatval(mark('start', 'end'));
$memory = memory_mark();
if (isset($memory['start']) && isset($memory['end'])) {
$mem[] = floatval(memory_mark('start', 'end'));
}
mark('[clear]');
memory_mark('[clear]');
}
$data = [['name' => 'Exec Time', 'data' => $time]];
$mem && ($data[] = ['name' => 'Exec Memory', 'data' => $mem]);
$xAxis = ['categories' => $xAxis];
return chart($xAxis, $data, 'Function [' . htmlentities($func_name) . '] Execute Time Statistics', 'At ' . date('Y-m-d H:i:s'), 'Number');
}
//categoryテーブルの値を割合が高い順に取得
$result_category = select_category(5);
?>
<!DOCTYPE html>
<html lang="ja">
<head>
<meta charset="UTF-8">
<title>SNS Photos</title>
<link rel="stylesheet" type="text/css" href="../css/css_index.css">
<!--AJAX APIの読み込み-->
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript" src="scriptUtil.php"></script>
<script type="text/javascript">
//SNS全体の割合の円グラフを表示する処理の取得
<?php
chart(null, $result_category);
?>
</script>
</head>
<body>
<!--ヘッダー-->
<div id="header">
<div class="title">
<a href="<?php
echo ROOT_URL;
?>
">
<span style="vertical-align: middle; font-size: 35px;">SNS Photos</span>
</a>
<span style="vertical-align: 3px; font-size: 50%; margin-left: 20px">
SNSに投稿されている画像の傾向分析サイト
case "deleteplaylist":
return deletePlaylist();
break;
case "curtrack":
return getCurrentTrack();
break;
case "search":
return search();
case "browse":
return browse();
break;
case "home":
return home();
break;
case "chart":
return chart();
break;
case "userhistories":
return userHistories();
break;
case "jukebox":
return jukebox();
break;
case "adduser":
return adduser();
break;
case "removeuser":
return removeuser();
break;
case "listusers":
return listusers();
return $weeks;
}
function format_grouped_stats($period_length, $period_count, $name, $title)
{
$weeks = grouped_stats($period_length, $period_count);
return inv_table($title, array('start_fmt' => '', 'users_this_week' => "Total this {$name}", 'active_user_count' => 'Active users', 'new_user_count' => 'New active users', 'gone_user_count' => 'Previously active users gone', 'growth_fmt' => '% increase in active users (growth)', 'delta' => '∆ active users', 'new_user_growth_fmt' => '% increase in new users', 'churn_fmt' => '% previously active users gone (churn)'), $weeks);
}
$count = query_count('SELECT COUNT(DISTINCT ip) AS count FROM stats');
$by_date = query_rows('SELECT date, COUNT(DISTINCT ip) AS count FROM stats GROUP BY date ORDER BY date');
$by_ver_30 = query_rows('SELECT version, COUNT(DISTINCT ip) AS count FROM stats WHERE date > DATE_SUB(NOW(), INTERVAL 30 DAY) GROUP BY version ORDER BY version');
$by_ver_7 = query_rows('SELECT version, COUNT(DISTINCT ip) AS count FROM stats WHERE date > DATE_SUB(NOW(), INTERVAL 7 DAY) GROUP BY version ORDER BY version');
$by_ver_2 = query_rows('SELECT version, COUNT(DISTINCT ip) AS count FROM stats WHERE date > DATE_SUB(NOW(), INTERVAL 2 DAY) GROUP BY version ORDER BY version');
$latest = query_rows('SELECT time, version, ip, agent FROM stats ORDER BY time DESC LIMIT 10');
foreach ($latest as &$row) {
$row->time_fmt = strftime('%Y-%m-%d %H:%M', $row->time);
}
$data = array();
foreach ($by_date as $row) {
$data[] = $row->count;
}
$data = array_slice($data, -30 * 3);
array_pop($data);
echo html_tag('h1', array(), "Total unique IPs: {$count}");
echo html_tag('h1', array(), "Unique IPs by day, all time") . chart($data, 2500);
echo format_grouped_stats(PERIOD_WEEK, 2, "week", "Weekly statistics");
echo table('Unique IPs by version, last 30 days', array('version' => 'Version', 'count' => 'IPs'), $by_ver_30);
echo table('Unique IPs by version, last 7 days', array('version' => 'Version', 'count' => 'IPs'), $by_ver_7);
echo table('Unique IPs by version, last 2 days', array('version' => 'Version', 'count' => 'IPs'), $by_ver_2);
echo table('Last 10 pings', array('time_fmt' => 'Date', 'version' => 'Version', 'agent' => 'User Agent'), $latest);
echo table('Unique IPs by day, all time', array('date' => 'Date', 'count' => 'Pings'), array_reverse($by_date));
// echo format_grouped_stats(PERIOD_MONTH, 8, "month", "Monthly statistics");
