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			904 lines
		
	
	
		
			35 KiB
		
	
	
	
		
			PHP
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			904 lines
		
	
	
		
			35 KiB
		
	
	
	
		
			PHP
		
	
	
		
			Executable File
		
	
	
	
	
#!/usr/bin/php -q
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<?php
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/*
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 ex: set tabstop=4 shiftwidth=4 autoindent:
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 +-------------------------------------------------------------------------+
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 | Copyright (C) 2004-2009 The Cacti Group                                 |
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 |                                                                         |
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 | This program is free software; you can redistribute it and/or           |
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 | modify it under the terms of the GNU General Public License             |
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 | as published by the Free Software Foundation; either version 2          |
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 | of the License, or (at your option) any later version.                  |
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 |                                                                         |
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 | This program is distributed in the hope that it will be useful,         |
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 | but WITHOUT ANY WARRANTY; without even the implied warranty of          |
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 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the           |
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 | GNU General Public License for more details.                            |
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 +-------------------------------------------------------------------------+
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 | Cacti: The Complete RRDTool-based Graphing Solution                     |
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 +-------------------------------------------------------------------------+
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 | This code is designed, written, and maintained by the Cacti Group. See  |
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 | about.php and/or the AUTHORS file for specific developer information.   |
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 +-------------------------------------------------------------------------+
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 | http://www.cacti.net/                                                   |
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 +-------------------------------------------------------------------------+
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*/
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/* do NOT run this script through a web browser */
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if (!isset($_SERVER["argv"][0]) || isset($_SERVER['REQUEST_METHOD'])  || isset($_SERVER['REMOTE_ADDR'])) {
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    die("<br><strong>This script is only meant to run at the command line.</strong>");
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}
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/* We are not talking to the browser */
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$no_http_headers = true;
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$dir = dirname(__FILE__);
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chdir($dir);
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if (strpos($dir, 'spikekill') !== false) {
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    chdir('../../');
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}
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$using_cacti = false;
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/* setup defaults */
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$debug     = false;
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$dryrun    = false;
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$avgnan    = 'avg';
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$rrdfile   = "";
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$std_kills = true;
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$var_kills = true;
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$html      = false;
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if ($using_cacti) {
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    $method   = read_config_option("spikekill_method");
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    $numspike = read_config_option("spikekill_number");
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    $stddev   = read_config_option("spikekill_deviations");
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    $percent  = read_config_option("spikekill_percent");
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    $outliers = read_config_option("spikekill_outliers");
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} else {
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    $method   = 1; // Standard Deviation
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    $numspike = 10;
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    $stddev   = 10;
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    $percent  = 500;
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    $outliers = 5;
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}
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/* process calling arguments */
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$parms = $_SERVER["argv"];
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array_shift($parms);
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foreach ($parms as $parameter) {
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    @list($arg, $value) = @explode("=", $parameter);
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    switch ($arg) {
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        case "--method":
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        case "-M":
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            if ($value == "variance") {
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                $method = 2;
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            } elseif ($value == "stddev") {
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                $method = 1;
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            } else {
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                    echo "FATAL: You must specify either 'stddev' or 'variance' as methods.\n\n";
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                    display_help();
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                    exit;
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            }
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            break;
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        case "--avgnan":
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        case "-A":
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            if ($value == "avg") {
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                $avgnan = "avg";
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            } elseif ($value == "nan") {
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                $avgnan = "nan";
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            } else {
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                echo "FATAL: You must specify either 'avg' or 'nan' as replacement methods.\n\n";
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                display_help();
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                exit;
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            }
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            break;
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        case "--rrdfile":
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        case "-R":
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            $rrdfile = $value;
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            if (!file_exists($rrdfile)) {
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                echo "FATAL: File '$rrdfile' does not exist.\n";
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                exit;
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            }
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            if (!is_writable($rrdfile)) {
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                echo "FATAL: File '$rrdfile' is not writable by this account.\n";
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                exit;
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            }
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            break;
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        case "--stddev":
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        case "-S":
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            $stddev = $value;
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            if (!is_numeric($stddev) || ($stddev < 1)) {
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                echo "FATAL: Standard Deviation must be a positive integer.\n\n";
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                display_help();
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                exit;
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            }
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            break;
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        case "--outliers":
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        case "-O":
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            $outliers = $value;
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            if (!is_numeric($outliers) || ($outliers < 1)) {
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                echo "FATAL: The number of outliers to exlude must be a positive integer.\n\n";
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                display_help();
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                exit;
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            }
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            break;
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        case "--percent":
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        case "-P":
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            $percent = $value/100;
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            if (!is_numeric($percent) || ($percent <= 0)) {
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                echo "FATAL: Percent deviation must be a positive floating point number.\n\n";
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                display_help();
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                exit;
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            }
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            break;
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        case "--html":
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            $html = true;
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            break;
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        case "-d":
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        case "--debug":
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            $debug = true;
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            break;
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        case "-D":
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        case "--dryrun":
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            $dryrun = true;
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            break;
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        case "--number":
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        case "-n":
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            $numspike = $value;
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            if (!is_numeric($numspike) || ($numspike < 1)) {
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                echo "FATAL: Number of spikes to remove must be a positive integer\n\n";
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                display_help();
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                exit;
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            }
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            break;
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        case "-h":
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        case "-v":
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        case "-V":
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        case "--version":
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        case "--help":
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            display_help();
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            exit;
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        default:
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            print "ERROR: Invalid Parameter " . $parameter . "\n\n";
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            display_help();
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            exit;
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    }
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}
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/* additional error check */
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if ($rrdfile == "") {
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    echo "FATAL: You must specify an RRDfile!\n\n";
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    display_help();
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    exit;
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}
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/* determine the temporary file name */
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$seed = mt_rand();
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if ($config["cacti_server_os"] == "win32") {
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    $tempdir  = getenv("TEMP");
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    $xmlfile = $tempdir . "/" . str_replace(".rrd", "", basename($rrdfile)) . ".dump." . $seed;
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} else {
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    $tempdir = "/tmp";
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    $xmlfile = "/tmp/" . str_replace(".rrd", "", basename($rrdfile)) . ".dump." . $seed;
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}
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if ($html) {
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    echo "<table cellpadding='3' cellspacing='0' class='spikekill_data' id='spikekill_data'>";
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}
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if ($using_cacti) {
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    cacti_log("NOTE: Removing Spikes for '$rrdfile', Method:'$method'", false, "WEBUI");
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}
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/* execute the dump command */
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echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: Creating XML file '$xmlfile' from '$rrdfile'" . ($html ? "</td></tr>\n":"\n");
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if ($using_cacti) {
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    shell_exec(read_config_option("path_rrdtool") . " dump $rrdfile > $xmlfile");
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} else {
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    shell_exec("rrdtool dump $rrdfile > $xmlfile");
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}
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/* read the xml file into an array*/
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if (file_exists($xmlfile)) {
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    $output = file($xmlfile);
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    /* remove the temp file */
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    unlink($xmlfile);
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} else {
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    if ($using_cacti) {
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        echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "FATAL: RRDtool Command Failed.  Please verify that the RRDtool path is valid in Settings->Paths!" . ($html ? "</td></tr>\n":"\n");
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    } else {
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        echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "FATAL: RRDtool Command Failed.  Please insure RRDtool is in your path!" . ($html ? "</td></tr>\n":"\n");
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    }
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    exit;
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}
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/* process the xml file and remove all comments */
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$output = removeComments($output);
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/* Read all the rra's ds values and obtain the following pieces of information from each
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   rra archive.
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   * numsamples - The number of 'valid' non-nan samples
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   * sumofsamples - The sum of all 'valid' samples.
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   * average - The average of all samples
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   * standard_deviation - The standard deviation of all samples
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   * max_value - The maximum value of all samples
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   * min_value - The minimum value of all samples
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   * max_cutoff - Any value above this value will be set to the average.
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   * min_cutoff - Any value lower than this value will be set to the average.
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   This will end up being a n-dimensional array as follows:
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   rra[x][ds#]['totalsamples'];
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   rra[x][ds#]['numsamples'];
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   rra[x][ds#]['sumofsamples'];
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   rra[x][ds#]['average'];
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   rra[x][ds#]['stddev'];
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   rra[x][ds#]['max_value'];
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   rra[x][ds#]['min_value'];
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   rra[x][ds#]['max_cutoff'];
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   rra[x][ds#]['min_cutoff'];
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   There will also be a secondary array created with the actual samples.  This
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   array will be used to calculate the standard deviation of the sample set.
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   samples[rra_num][ds_num][];
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   Also track the min and max value for each ds and store it into the two
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   arrays: ds_min[ds#], ds_max[ds#].
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   The we don't need to know the type of rra, only it's number for this analysis
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   the same applies for the ds' as well.
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*/
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$rra     = array();
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$rra_cf  = array();
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$rra_pdp = array();
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$rra_num = 0;
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$ds_num  = 0;
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$total_kills = 0;
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$in_rra  = false;
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$in_db   = false;
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$ds_min  = array();
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$ds_max  = array();
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$ds_name = array();
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/* perform a first pass on the array and do the following:
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   1) Get the number of good samples per ds
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   2) Get the sum of the samples per ds
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   3) Get the max and min values for all samples
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   4) Build both the rra and sample arrays
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   5) Get each ds' min and max values
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*/
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if (sizeof($output)) {
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    foreach ($output as $line) {
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        if (substr_count($line, "<v>")) {
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            $linearray = explode("<v>", $line);
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            /* discard the row */
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            array_shift($linearray);
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            $ds_num = 0;
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            foreach ($linearray as $dsvalue) {
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                /* peel off garbage */
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                $dsvalue = trim(str_replace("</row>", "", str_replace("</v>", "", $dsvalue)));
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                if (strtolower($dsvalue) != "nan") {
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                    if (!isset($rra[$rra_num][$ds_num]["numsamples"])) {
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                        $rra[$rra_num][$ds_num]["numsamples"] = 1;
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                    } else {
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                        $rra[$rra_num][$ds_num]["numsamples"]++;
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                    }
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                    if (!isset($rra[$rra_num][$ds_num]["sumofsamples"])) {
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                        $rra[$rra_num][$ds_num]["sumofsamples"] = $dsvalue;
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                    } else {
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                        $rra[$rra_num][$ds_num]["sumofsamples"] += $dsvalue;
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                    }
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                    if (!isset($rra[$rra_num][$ds_num]["max_value"])) {
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                        $rra[$rra_num][$ds_num]["max_value"] = $dsvalue;
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                    } elseif ($dsvalue > $rra[$rra_num][$ds_num]["max_value"]) {
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                        $rra[$rra_num][$ds_num]["max_value"] = $dsvalue;
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                    }
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                    if (!isset($rra[$rra_num][$ds_num]["min_value"])) {
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                        $rra[$rra_num][$ds_num]["min_value"] = $dsvalue;
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                    } elseif ($dsvalue < $rra[$rra_num][$ds_num]["min_value"]) {
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                        $rra[$rra_num][$ds_num]["min_value"] = $dsvalue;
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                    }
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 | 
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                    /* store the sample for standard deviation calculation */
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                    $samples[$rra_num][$ds_num][] = $dsvalue;
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                }
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                if (!isset($rra[$rra_num][$ds_num]["totalsamples"])) {
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                    $rra[$rra_num][$ds_num]["totalsamples"] = 1;
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                } else {
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                    $rra[$rra_num][$ds_num]["totalsamples"]++;
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                }
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 | 
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                $ds_num++;
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            }
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        } elseif (substr_count($line, "<rra>")) {
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            $in_rra = true;
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        } elseif (substr_count($line, "<min>")) {
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            $ds_min[] = trim(str_replace("<min>", "", str_replace("</min>", "", trim($line))));
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        } elseif (substr_count($line, "<max>")) {
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            $ds_max[] = trim(str_replace("<max>", "", str_replace("</max>", "", trim($line))));
 | 
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        } elseif (substr_count($line, "<name>")) {
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            $ds_name[] = trim(str_replace("<name>", "", str_replace("</name>", "", trim($line))));
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        } elseif (substr_count($line, "<cf>")) {
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            $rra_cf[] = trim(str_replace("<cf>", "", str_replace("</cf>", "", trim($line))));
 | 
						|
        } elseif (substr_count($line, "<pdp_per_row>")) {
 | 
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            $rra_pdp[] = trim(str_replace("<pdp_per_row>", "", str_replace("</pdp_per_row>", "", trim($line))));
 | 
						|
        } elseif (substr_count($line, "</rra>")) {
 | 
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            $in_rra = false;
 | 
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            $rra_num++;
 | 
						|
        } elseif (substr_count($line, "<step>")) {
 | 
						|
            $step = trim(str_replace("<step>", "", str_replace("</step>", "", trim($line))));
 | 
						|
        }
 | 
						|
    }
 | 
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}
 | 
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 | 
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/* For all the samples determine the average with the outliers removed */
 | 
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calculateVarianceAverages($rra, $samples);
 | 
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 | 
						|
/* Now scan the rra array and the samples array and calculate the following
 | 
						|
   1) The standard deviation of all samples
 | 
						|
   2) The average of all samples per ds
 | 
						|
   3) The max and min cutoffs of all samples
 | 
						|
   4) The number of kills in each ds based upon the thresholds
 | 
						|
*/
 | 
						|
echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: Searching for Spikes in XML file '$xmlfile'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
calculateOverallStatistics($rra, $samples);
 | 
						|
 | 
						|
/* debugging and/or status report */
 | 
						|
if ($debug || $dryrun) {
 | 
						|
    outputStatistics($rra);
 | 
						|
}
 | 
						|
 | 
						|
/* create an output array */
 | 
						|
if ($method == 1) {
 | 
						|
    /* standard deviation subroutine */
 | 
						|
    if ($std_kills) {
 | 
						|
        if (!$dryrun) {
 | 
						|
            $new_output = updateXML($output, $rra);
 | 
						|
        }
 | 
						|
    } else {
 | 
						|
        echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: NO Standard Deviation Spikes found in '$rrdfile'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
    }
 | 
						|
} else {
 | 
						|
    /* variance subroutine */
 | 
						|
    if ($var_kills) {
 | 
						|
        if (!$dryrun) {
 | 
						|
            $new_output = updateXML($output, $rra);
 | 
						|
        }
 | 
						|
    } else {
 | 
						|
        echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: NO Variance Spikes found in '$rrdfile'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
/* finally update the file XML file and Reprocess the RRDfile */
 | 
						|
if (!$dryrun) {
 | 
						|
    if ($total_kills) {
 | 
						|
        if (writeXMLFile($new_output, $xmlfile)) {
 | 
						|
            if (backupRRDFile($rrdfile)) {
 | 
						|
                createRRDFileFromXML($xmlfile, $rrdfile);
 | 
						|
            } else {
 | 
						|
                echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "FATAL: Unable to backup '$rrdfile'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
            }
 | 
						|
        } else {
 | 
						|
            echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "FATAL: Unable to write XML file '$xmlfile'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
        }
 | 
						|
    }
 | 
						|
} else {
 | 
						|
    echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: Dryrun requested.  No updates performed" . ($html ? "</td></tr>\n":"\n");
 | 
						|
}
 | 
						|
 | 
						|
if ($html) {
 | 
						|
    echo "</table>";
 | 
						|
}
 | 
						|
 | 
						|
/* All Functions */
 | 
						|
function createRRDFileFromXML($xmlfile, $rrdfile)
 | 
						|
{
 | 
						|
    global $using_cacti, $html;
 | 
						|
 | 
						|
    /* execute the dump command */
 | 
						|
    echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: Re-Importing '$xmlfile' to '$rrdfile'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
    if ($using_cacti) {
 | 
						|
        $response = shell_exec(read_config_option("path_rrdtool") . " restore -f -r $xmlfile $rrdfile");
 | 
						|
    } else {
 | 
						|
        $response = shell_exec("rrdtool restore -f -r $xmlfile $rrdfile");
 | 
						|
    }
 | 
						|
    if (strlen($response)) {
 | 
						|
        echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . $response . ($html ? "</td></tr>\n":"\n");
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function writeXMLFile($output, $xmlfile)
 | 
						|
{
 | 
						|
    return file_put_contents($xmlfile, $output);
 | 
						|
}
 | 
						|
 | 
						|
function backupRRDFile($rrdfile)
 | 
						|
{
 | 
						|
    global $using_cacti, $tempdir, $seed, $html;
 | 
						|
 | 
						|
    if ($using_cacti) {
 | 
						|
        $backupdir = read_config_option("spikekill_backupdir");
 | 
						|
 | 
						|
        if ($backupdir == "") {
 | 
						|
            $backupdir = $tempdir;
 | 
						|
        }
 | 
						|
    } else {
 | 
						|
        $backupdir = $tempdir;
 | 
						|
    }
 | 
						|
 | 
						|
    if (file_exists($backupdir . "/" . basename($rrdfile))) {
 | 
						|
        $newfile = basename($rrdfile) . "." . $seed;
 | 
						|
    } else {
 | 
						|
        $newfile = basename($rrdfile);
 | 
						|
    }
 | 
						|
 | 
						|
    echo ($html ? "<tr><td colspan='20' class='spikekill_note'>":"") . "NOTE: Backing Up '$rrdfile' to '" . $backupdir . "/" .  $newfile . "'" . ($html ? "</td></tr>\n":"\n");
 | 
						|
 | 
						|
    return copy($rrdfile, $backupdir . "/" . $newfile);
 | 
						|
}
 | 
						|
 | 
						|
function calculateVarianceAverages(&$rra, &$samples)
 | 
						|
{
 | 
						|
    global $outliers;
 | 
						|
 | 
						|
    if (sizeof($samples)) {
 | 
						|
        foreach ($samples as $rra_num => $dses) {
 | 
						|
            if (sizeof($dses)) {
 | 
						|
                foreach ($dses as $ds_num => $ds) {
 | 
						|
                    if (sizeof($ds) < $outliers * 3) {
 | 
						|
                        $rra[$rra_num][$ds_num]["variance_avg"] = "NAN";
 | 
						|
                    } else {
 | 
						|
                        rsort($ds, SORT_NUMERIC);
 | 
						|
                        $ds = array_slice($ds, $outliers);
 | 
						|
 | 
						|
                        sort($ds, SORT_NUMERIC);
 | 
						|
                        $ds = array_slice($ds, $outliers);
 | 
						|
 | 
						|
                        $rra[$rra_num][$ds_num]["variance_avg"] = array_sum($ds) / sizeof($ds);
 | 
						|
                    }
 | 
						|
                }
 | 
						|
            }
 | 
						|
        }
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function calculateOverallStatistics(&$rra, &$samples)
 | 
						|
{
 | 
						|
    global $percent, $stddev, $ds_min, $ds_max, $var_kills, $std_kills;
 | 
						|
 | 
						|
    $rra_num = 0;
 | 
						|
    if (sizeof($rra)) {
 | 
						|
        foreach ($rra as $dses) {
 | 
						|
            $ds_num = 0;
 | 
						|
 | 
						|
            if (sizeof($dses)) {
 | 
						|
                foreach ($dses as $ds) {
 | 
						|
                    if (isset($samples[$rra_num][$ds_num])) {
 | 
						|
                        $rra[$rra_num][$ds_num]["standard_deviation"] = standard_deviation($samples[$rra_num][$ds_num]);
 | 
						|
                        if ($rra[$rra_num][$ds_num]["standard_deviation"] == "NAN") {
 | 
						|
                            $rra[$rra_num][$ds_num]["standard_deviation"] = 0;
 | 
						|
                        }
 | 
						|
                        $rra[$rra_num][$ds_num]["average"]    = $rra[$rra_num][$ds_num]["sumofsamples"] / $rra[$rra_num][$ds_num]["numsamples"];
 | 
						|
 | 
						|
                        $rra[$rra_num][$ds_num]["min_cutoff"] = $rra[$rra_num][$ds_num]["average"] - ($stddev * $rra[$rra_num][$ds_num]["standard_deviation"]);
 | 
						|
                        if ($rra[$rra_num][$ds_num]["min_cutoff"] < $ds_min[$ds_num]) {
 | 
						|
                            $rra[$rra_num][$ds_num]["min_cutoff"] = $ds_min[$ds_num];
 | 
						|
                        }
 | 
						|
 | 
						|
                        $rra[$rra_num][$ds_num]["max_cutoff"] = $rra[$rra_num][$ds_num]["average"] + ($stddev * $rra[$rra_num][$ds_num]["standard_deviation"]);
 | 
						|
                        if ($rra[$rra_num][$ds_num]["max_cutoff"] > $ds_max[$ds_num]) {
 | 
						|
                            $rra[$rra_num][$ds_num]["max_cutoff"] = $ds_max[$ds_num];
 | 
						|
                        }
 | 
						|
 | 
						|
                        $rra[$rra_num][$ds_num]["numnksamples"] = 0;
 | 
						|
                        $rra[$rra_num][$ds_num]["sumnksamples"] = 0;
 | 
						|
                        $rra[$rra_num][$ds_num]["avgnksamples"] = 0;
 | 
						|
 | 
						|
                        /* go through values and find cutoffs */
 | 
						|
                        $rra[$rra_num][$ds_num]["stddev_killed"]    = 0;
 | 
						|
                        $rra[$rra_num][$ds_num]["variance_killed"]  = 0;
 | 
						|
 | 
						|
                        if (sizeof($samples[$rra_num][$ds_num])) {
 | 
						|
                            foreach ($samples[$rra_num][$ds_num] as $sample) {
 | 
						|
                                if (($sample > $rra[$rra_num][$ds_num]["max_cutoff"]) ||
 | 
						|
                                    ($sample < $rra[$rra_num][$ds_num]["min_cutoff"])) {
 | 
						|
                                    debug(sprintf("Std Kill: Value '%.4e', StandardDev '%.4e', StdDevLimit '%.4e'", $sample, $rra[$rra_num][$ds_num]["standard_deviation"], ($rra[$rra_num][$ds_num]["max_cutoff"] * (1+$percent))));
 | 
						|
                                    $rra[$rra_num][$ds_num]["stddev_killed"]++;
 | 
						|
                                    $std_kills = true;
 | 
						|
                                } else {
 | 
						|
                                    $rra[$rra_num][$ds_num]["numnksamples"]++;
 | 
						|
                                    $rra[$rra_num][$ds_num]["sumnksamples"] += $sample;
 | 
						|
                                }
 | 
						|
 | 
						|
                                if ($rra[$rra_num][$ds_num]["variance_avg"] == "NAN") {
 | 
						|
                                    /* not enought samples to calculate */
 | 
						|
                                } elseif ($sample > ($rra[$rra_num][$ds_num]["variance_avg"] * (1+$percent))) {
 | 
						|
                                    /* kill based upon variance */
 | 
						|
                                    debug(sprintf("Var Kill: Value '%.4e', VarianceDev '%.4e', VarianceLimit '%.4e'", $sample, $rra[$rra_num][$ds_num]["variance_avg"], ($rra[$rra_num][$ds_num]["variance_avg"] * (1+$percent))));
 | 
						|
                                    $rra[$rra_num][$ds_num]["variance_killed"]++;
 | 
						|
                                    $var_kills = true;
 | 
						|
                                }
 | 
						|
                            }
 | 
						|
                        }
 | 
						|
 | 
						|
                        if ($rra[$rra_num][$ds_num]["numnksamples"] > 0) {
 | 
						|
                            $rra[$rra_num][$ds_num]["avgnksamples"] = $rra[$rra_num][$ds_num]["sumnksamples"] / $rra[$rra_num][$ds_num]["numnksamples"];
 | 
						|
                        }
 | 
						|
                    } else {
 | 
						|
                        $rra[$rra_num][$ds_num]["standard_deviation"] = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["average"]            = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["min_cutoff"]         = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["max_cutoff"]         = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["numnksamples"]       = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["sumnksamples"]       = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["avgnksamples"]       = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["stddev_killed"]      = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["variance_killed"]    = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["stddev_killed"]      = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["numnksamples"]       = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["sumnksamples"]       = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["variance_killed"]    = "N/A";
 | 
						|
                        $rra[$rra_num][$ds_num]["avgnksamples"]       = "N/A";
 | 
						|
                    }
 | 
						|
 | 
						|
                        $ds_num++;
 | 
						|
                }
 | 
						|
            }
 | 
						|
 | 
						|
            $rra_num++;
 | 
						|
        }
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function outputStatistics($rra)
 | 
						|
{
 | 
						|
    global $rra_cf, $rra_name, $ds_name, $rra_pdp, $html;
 | 
						|
 | 
						|
    if (sizeof($rra)) {
 | 
						|
        if (!$html) {
 | 
						|
            echo "\n";
 | 
						|
            printf(
 | 
						|
                "%10s %16s %10s %7s %7s %10s %10s %10s %10s %10s %10s %10s %10s %10s %10s\n",
 | 
						|
                "Size",
 | 
						|
                "DataSource",
 | 
						|
                "CF",
 | 
						|
                "Samples",
 | 
						|
                "NonNan",
 | 
						|
                "Avg",
 | 
						|
                "StdDev",
 | 
						|
                "MaxValue",
 | 
						|
                "MinValue",
 | 
						|
                "MaxStdDev",
 | 
						|
                "MinStdDev",
 | 
						|
                "StdKilled",
 | 
						|
                "VarKilled",
 | 
						|
                "StdDevAvg",
 | 
						|
                "VarAvg"
 | 
						|
            );
 | 
						|
            printf(
 | 
						|
                "%10s %16s %10s %7s %7s %10s %10s %10s %10s %10s %10s %10s %10s %10s %10s\n",
 | 
						|
                "----------",
 | 
						|
                "---------------",
 | 
						|
                "----------",
 | 
						|
                "-------",
 | 
						|
                "-------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------",
 | 
						|
                "----------"
 | 
						|
            );
 | 
						|
            foreach ($rra as $rra_key => $dses) {
 | 
						|
                if (sizeof($dses)) {
 | 
						|
                    foreach ($dses as $dskey => $ds) {
 | 
						|
                        printf(
 | 
						|
                            "%10s %16s %10s %7s %7s " .
 | 
						|
                            ($ds["average"] < 1E6 ? "%10s ":"%10.4e ") .
 | 
						|
                            ($ds["standard_deviation"] < 1E6 ? "%10s ":"%10.4e ") .
 | 
						|
                            (isset($ds["max_value"]) ? ($ds["max_value"] < 1E6 ? "%10s ":"%10.4e ") : "%10s ") .
 | 
						|
                            (isset($ds["min_value"]) ? ($ds["min_value"] < 1E6 ? "%10s ":"%10.4e ") : "%10s ") .
 | 
						|
                            (isset($ds["max_cutoff"]) ? ($ds["max_cutoff"] < 1E6 ? "%10s ":"%10.4e ") : "%10s ") .
 | 
						|
                            (isset($ds["min_cutoff"]) ? ($ds["min_cutoff"] < 1E6 ? "%10s ":"%10.4e ") : "%10s ") .
 | 
						|
                            "%10s %10s " .
 | 
						|
                            (isset($ds["avgnksampled"]) ? ($ds["avgnksamples"] < 1E6 ? "%10s ":"%10.4e ") : "%10s ") .
 | 
						|
                            (isset($ds["variance_avg"]) ? ($ds["variance_avg"] < 1E6 ? "%10s ":"%10.4e ") : "%10s ") . "\n",
 | 
						|
                            displayTime($rra_pdp[$rra_key]),
 | 
						|
                            $ds_name[$dskey],
 | 
						|
                            $rra_cf[$rra_key],
 | 
						|
                            $ds["totalsamples"],
 | 
						|
                            (isset($ds["numsamples"]) ? $ds["numsamples"] : "0"),
 | 
						|
                            ($ds["average"] != "N/A" ? round($ds["average"], 2) : $ds["average"]),
 | 
						|
                            ($ds["standard_deviation"] != "N/A" ? round($ds["standard_deviation"], 2) : $ds["standard_deviation"]),
 | 
						|
                            (isset($ds["max_value"]) ? round($ds["max_value"], 2) : "N/A"),
 | 
						|
                            (isset($ds["min_value"]) ? round($ds["min_value"], 2) : "N/A"),
 | 
						|
                            ($ds["max_cutoff"] != "N/A" ? round($ds["max_cutoff"], 2) : $ds["max_cutoff"]),
 | 
						|
                            ($ds["min_cutoff"] != "N/A" ? round($ds["min_cutoff"], 2) : $ds["min_cutoff"]),
 | 
						|
                            $ds["stddev_killed"],
 | 
						|
                            $ds["variance_killed"],
 | 
						|
                            ($ds["avgnksamples"] != "N/A" ? round($ds["avgnksamples"], 2) : $ds["avgnksamples"]),
 | 
						|
                            (isset($ds["variance_avg"]) ? round($ds["variance_avg"], 2) : "N/A")
 | 
						|
                        );
 | 
						|
                    }
 | 
						|
                }
 | 
						|
            }
 | 
						|
 | 
						|
            echo "\n";
 | 
						|
        } else {
 | 
						|
            printf(
 | 
						|
                "<tr><th style='width:10%%;'>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th><th>%s</th></tr>\n",
 | 
						|
                "Size",
 | 
						|
                "DataSource",
 | 
						|
                "CF",
 | 
						|
                "Samples",
 | 
						|
                "NonNan",
 | 
						|
                "Avg",
 | 
						|
                "StdDev",
 | 
						|
                "MaxValue",
 | 
						|
                "MinValue",
 | 
						|
                "MaxStdDev",
 | 
						|
                "MinStdDev",
 | 
						|
                "StdKilled",
 | 
						|
                "VarKilled",
 | 
						|
                "StdDevAvg",
 | 
						|
                "VarAvg"
 | 
						|
            );
 | 
						|
            foreach ($rra as $rra_key => $dses) {
 | 
						|
                if (sizeof($dses)) {
 | 
						|
                    foreach ($dses as $dskey => $ds) {
 | 
						|
                        printf(
 | 
						|
                            "<tr><td>%s</td><td>%s</td><td>%s</td><td>%s</td><td>%s</td><td>" .
 | 
						|
                            ($ds["average"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") .
 | 
						|
                            ($ds["standard_deviation"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") .
 | 
						|
                            (isset($ds["max_value"]) ? ($ds["max_value"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") : "%s</td><td>") .
 | 
						|
                            (isset($ds["min_value"]) ? ($ds["min_value"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") : "%s</td><td>") .
 | 
						|
                            (isset($ds["max_cutoff"]) ? ($ds["max_cutoff"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") : "%s</td><td>") .
 | 
						|
                            (isset($ds["min_cutoff"]) ? ($ds["min_cutoff"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") : "%s</td><td>") .
 | 
						|
                            "%s</td><td>%s</td><td>" .
 | 
						|
                            (isset($ds["avgnksampled"]) ? ($ds["avgnksamples"] < 1E6 ? "%s</td><td>":"%.4e</td><td>") : "%s</td><td>") .
 | 
						|
                            (isset($ds["variance_avg"]) ? ($ds["variance_avg"] < 1E6 ? "%s</td></tr>\n":"%.4e</td></tr>\n") : "%s</td></tr>\n") . "\n",
 | 
						|
                            displayTime($rra_pdp[$rra_key]),
 | 
						|
                            $ds_name[$dskey],
 | 
						|
                            $rra_cf[$rra_key],
 | 
						|
                            $ds["totalsamples"],
 | 
						|
                            (isset($ds["numsamples"]) ? $ds["numsamples"] : "0"),
 | 
						|
                            ($ds["average"] != "N/A" ? round($ds["average"], 2) : $ds["average"]),
 | 
						|
                            ($ds["standard_deviation"] != "N/A" ? round($ds["standard_deviation"], 2) : $ds["standard_deviation"]),
 | 
						|
                            (isset($ds["max_value"]) ? round($ds["max_value"], 2) : "N/A"),
 | 
						|
                            (isset($ds["min_value"]) ? round($ds["min_value"], 2) : "N/A"),
 | 
						|
                            ($ds["max_cutoff"] != "N/A" ? round($ds["max_cutoff"], 2) : $ds["max_cutoff"]),
 | 
						|
                            ($ds["min_cutoff"] != "N/A" ? round($ds["min_cutoff"], 2) : $ds["min_cutoff"]),
 | 
						|
                            $ds["stddev_killed"],
 | 
						|
                            $ds["variance_killed"],
 | 
						|
                            ($ds["avgnksamples"] != "N/A" ? round($ds["avgnksamples"], 2) : $ds["avgnksamples"]),
 | 
						|
                            (isset($ds["variance_avg"]) ? round($ds["variance_avg"], 2) : "N/A")
 | 
						|
                        );
 | 
						|
                    }
 | 
						|
                }
 | 
						|
            }
 | 
						|
        }
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function updateXML(&$output, &$rra)
 | 
						|
{
 | 
						|
    global $numspike, $percent, $avgnan, $method, $total_kills;
 | 
						|
        $new_array = array();
 | 
						|
 | 
						|
    /* variance subroutine */
 | 
						|
    $rra_num = 0;
 | 
						|
    $ds_num  = 0;
 | 
						|
    $kills   = 0;
 | 
						|
 | 
						|
    if (sizeof($output)) {
 | 
						|
        foreach ($output as $line) {
 | 
						|
            if (substr_count($line, "<v>")) {
 | 
						|
                $linearray = explode("<v>", $line);
 | 
						|
                /* discard the row */
 | 
						|
                array_shift($linearray);
 | 
						|
 | 
						|
                /* initialize variables */
 | 
						|
                $ds_num  = 0;
 | 
						|
                $out_row = "<row>";
 | 
						|
                foreach ($linearray as $dsvalue) {
 | 
						|
                    /* peel off garbage */
 | 
						|
                    $dsvalue = trim(str_replace("</row>", "", str_replace("</v>", "", $dsvalue)));
 | 
						|
                    if (strtolower($dsvalue) == "nan") {
 | 
						|
                        /* do nothing, it's a NaN */
 | 
						|
                    } else {
 | 
						|
                        if ($method == 2) {
 | 
						|
                            if ($dsvalue > (1+$percent)*$rra[$rra_num][$ds_num]["variance_avg"]) {
 | 
						|
                                if ($kills < $numspike) {
 | 
						|
                                    if ($avgnan == "avg") {
 | 
						|
                                        $dsvalue = $rra[$rra_num][$ds_num]["variance_avg"];
 | 
						|
                                    } else {
 | 
						|
                                        $dsvalue = "NaN";
 | 
						|
                                    }
 | 
						|
                                    $kills++;
 | 
						|
                                    $total_kills++;
 | 
						|
                                }
 | 
						|
                            }
 | 
						|
                        } else {
 | 
						|
                            if (($dsvalue > $rra[$rra_num][$ds_num]["max_cutoff"]) ||
 | 
						|
                            ($dsvalue < $rra[$rra_num][$ds_num]["min_cutoff"])) {
 | 
						|
                                if ($kills < $numspike) {
 | 
						|
                                    if ($avgnan == "avg") {
 | 
						|
                                        $dsvalue = $rra[$rra_num][$ds_num]["average"];
 | 
						|
                                    } else {
 | 
						|
                                        $dsvalue = "NaN";
 | 
						|
                                    }
 | 
						|
                                    $kills++;
 | 
						|
                                    $total_kills++;
 | 
						|
                                }
 | 
						|
                            }
 | 
						|
                        }
 | 
						|
                    }
 | 
						|
 | 
						|
                    $out_row .= "<v> " . $dsvalue . "</v>";
 | 
						|
                    $ds_num++;
 | 
						|
                }
 | 
						|
 | 
						|
                $out_row .= "</row>";
 | 
						|
 | 
						|
                $new_array[] = $out_row;
 | 
						|
            } else {
 | 
						|
                if (substr_count($line, "</rra>")) {
 | 
						|
                    $ds_minmax = array();
 | 
						|
                    $rra_num++;
 | 
						|
                    $kills = 0;
 | 
						|
                } elseif (substr_count($line, "</database>")) {
 | 
						|
                    $ds_num++;
 | 
						|
                    $kills = 0;
 | 
						|
                }
 | 
						|
 | 
						|
                $new_array[] = $line;
 | 
						|
            }
 | 
						|
        }
 | 
						|
    }
 | 
						|
 | 
						|
    return $new_array;
 | 
						|
}
 | 
						|
 | 
						|
function removeComments(&$output)
 | 
						|
{
 | 
						|
    $new_array = array();
 | 
						|
    if (sizeof($output)) {
 | 
						|
        foreach ($output as $line) {
 | 
						|
            $line = trim($line);
 | 
						|
            if ($line == "") {
 | 
						|
                continue;
 | 
						|
            } else {
 | 
						|
                /* is there a comment, remove it */
 | 
						|
                $comment_start = strpos($line, "<!--");
 | 
						|
                if ($comment_start === false) {
 | 
						|
                    /* do nothing no line */
 | 
						|
                } else {
 | 
						|
                    $comment_end = strpos($line, "-->");
 | 
						|
                    if ($comment_start == 0) {
 | 
						|
                        $line = trim(substr($line, $comment_end+3));
 | 
						|
                    } else {
 | 
						|
                        $line = trim(substr($line, 0, $comment_start-1) . substr($line, $comment_end+3));
 | 
						|
                    }
 | 
						|
                }
 | 
						|
 | 
						|
                if ($line != "") {
 | 
						|
                    $new_array[] = $line;
 | 
						|
                }
 | 
						|
            }
 | 
						|
        }
 | 
						|
        /* transfer the new array back to the original array */
 | 
						|
        return $new_array;
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function displayTime($pdp)
 | 
						|
{
 | 
						|
    global $step;
 | 
						|
 | 
						|
    $total_time = $pdp * $step; // seconds
 | 
						|
 | 
						|
    if ($total_time < 60) {
 | 
						|
        return $total_time . " secs";
 | 
						|
    } else {
 | 
						|
        $total_time = $total_time / 60;
 | 
						|
 | 
						|
        if ($total_time < 60) {
 | 
						|
            return $total_time . " mins";
 | 
						|
        } else {
 | 
						|
            $total_time = $total_time / 60;
 | 
						|
 | 
						|
            if ($total_time < 24) {
 | 
						|
                return $total_time . " hours";
 | 
						|
            } else {
 | 
						|
                $total_time = $total_time / 24;
 | 
						|
 | 
						|
                return $total_time . " days";
 | 
						|
            }
 | 
						|
        }
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function debug($string)
 | 
						|
{
 | 
						|
    global $debug;
 | 
						|
 | 
						|
    if ($debug) {
 | 
						|
        echo "DEBUG: " . $string . "\n";
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function standard_deviation($samples)
 | 
						|
{
 | 
						|
    $sample_count = count($samples);
 | 
						|
        $sample_square = array();
 | 
						|
 | 
						|
    for ($current_sample = 0; $sample_count > $current_sample; ++$current_sample) {
 | 
						|
        $sample_square[$current_sample] = pow($samples[$current_sample], 2);
 | 
						|
    }
 | 
						|
 | 
						|
    return sqrt(array_sum($sample_square) / $sample_count - pow((array_sum($samples) / $sample_count), 2));
 | 
						|
}
 | 
						|
 | 
						|
/* display_help - displays the usage of the function */
 | 
						|
function display_help()
 | 
						|
{
 | 
						|
    global $using_cacti;
 | 
						|
 | 
						|
    if ($using_cacti) {
 | 
						|
        $version = spikekill_version();
 | 
						|
    } else {
 | 
						|
        $version = "v1.0";
 | 
						|
    }
 | 
						|
 | 
						|
    echo "Cacti Spike Remover " . ($using_cacti ? "v" . $version["version"] : $version) . ", Copyright 2009, The Cacti Group, Inc.\n\n";
 | 
						|
    echo "Usage:\n";
 | 
						|
    echo "removespikes.php -R|--rrdfile=rrdfile [-M|--method=stddev] [-A|--avgnan] [-S|--stddev=N]\n";
 | 
						|
    echo "                 [-P|--percent=N] [-N|--number=N] [-D|--dryrun] [-d|--debug] [-h|--help|-v|-V|--version]\n\n";
 | 
						|
 | 
						|
    echo "The RRDfile input parameter is mandatory.  If no other input parameters are specified the defaults\n";
 | 
						|
    echo "are taken from the Spikekill Plugin settings.\n\n";
 | 
						|
 | 
						|
    echo "-M|--method      - The spike removal method to use.  Options are 'stddev'|'variance'\n";
 | 
						|
    echo "-A|--avgnan      - The spike replacement method to use.  Options are 'avg'|'nan'\n";
 | 
						|
    echo "-S|--stddev      - The number of standard deviations +/- allowed\n";
 | 
						|
    echo "-P|--percent     - The sample to sample percentage variation allowed\n";
 | 
						|
    echo "-N|--number      - The maximum number of spikes to remove from the RRDfile\n";
 | 
						|
    echo "-D|--dryrun      - If specified, the RRDfile will not be changed.  Instead a summary of\n";
 | 
						|
    echo "                   changes that would have been performed will be issued.\n\n";
 | 
						|
 | 
						|
    echo "The remainder of arguments are informational\n";
 | 
						|
    echo "-d|--debug       - Display verbose output during execution\n";
 | 
						|
    echo "-v -V --version  - Display this help message\n";
 | 
						|
    echo "-h --help        - display this help message\n";
 | 
						|
}
 |