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|
<?php
/*
+-------------------------------------------------------------------------+
| Copyright (C) 2004-2013 The Cacti Group |
| |
| This program is free software; you can redistribute it and/or |
| modify it under the terms of the GNU General Public License |
| as published by the Free Software Foundation; either version 2 |
| of the License, or (at your option) any later version. |
| |
| This program is distributed in the hope that it will be useful, |
| but WITHOUT ANY WARRANTY; without even the implied warranty of |
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| GNU General Public License for more details. |
+-------------------------------------------------------------------------+
| Cacti: The Complete RRDTool-based Graphing Solution |
+-------------------------------------------------------------------------+
| This code is designed, written, and maintained by the Cacti Group. See |
| about.php and/or the AUTHORS file for specific developer information. |
+-------------------------------------------------------------------------+
| http://www.cacti.net/ |
+-------------------------------------------------------------------------+
*/
/* nth_percentile - given a data source, calculate the Nth percentile for a given
time period
@arg $local_data_id - the data source to perform the Nth percentile calculation
@arg $start_seconds - start seconds of time range
@arg $stop_seconds - stop seconds of time range
@arg $percentile - Nth Percentile to calculate, integer between 1 and 99
@arg $resolution - the accuracy of the data measured in seconds
@returns - (array) an array containing each data source item, and its 95th percentile */
function nth_percentile($local_data_id, $start_seconds, $end_seconds, $percentile = 95, $resolution = 0) {
global $config;
include_once($config["library_path"] . "/rrd.php");
$values_array = array();
/* Check to see if we have array, if array, we are doing complex 95th calculations */
if (is_array($local_data_id)) {
$sum_array = array();
$fetch_array = array();
$percentile_array = array();
$num_ds = 0;
$i = 0;
/* do a fetch for each data source */
while (list($ldi, $ldi_value) = each($local_data_id)) {
$fetch_array[$i] = @rrdtool_function_fetch($ldi, $start_seconds, $end_seconds, $resolution);
/* clean up unwanted data source items */
if (! empty($fetch_array[$i])) {
while (list($id, $name) = each($fetch_array[$i]["data_source_names"])) {
/* get rid of the Nth max for now since we'll need to re-calculate it later */
if ($name == "nth_percentile_maximum") {
unset($fetch_array[$i]["data_source_names"][$id]);
unset($fetch_array[$i]["values"][$id]);
}
/* clean up DS items that aren't defined on the graph */
if (! in_array($name, $local_data_id[$ldi])) {
unset($fetch_array[$i]["data_source_names"][$id]);
unset($fetch_array[$i]["values"][$id]);
}
}
$i++;
}
}
/* Create our array for working */
if (empty($fetch_array[0]["data_source_names"])) {
/* here to avoid warning on non-exist file */
$fetch_array = array();
}else{
$sum_array["data_source_names"] = $fetch_array[0]["data_source_names"];
}
if (sizeof($fetch_array) > 0) {
/* Create hash of ds_item_name => array or fetch_array indexes */
/* this is used to later sum, max and total the data sources used on the graph */
/* Loop fetch array index */
$dsi_name_to_id = array();
reset($fetch_array);
for ($i=0; $i<count($fetch_array); $i++) {
/* Go through data souce names */
reset($fetch_array[$i]["data_source_names"]);
foreach ( $fetch_array[$i]["data_source_names"] as $ds_name ) {
$dsi_name_to_id[$ds_name][] = $i;
}
}
/* Sum up the like data sources */
$sum_array = array();
$i = 0;
foreach ( $dsi_name_to_id as $ds_name => $id_array ) {
$sum_array["data_source_names"][$i] = $ds_name;
foreach ($id_array as $id) {
$fetch_id = array_search($ds_name,$fetch_array[$id]["data_source_names"]);
/* Sum up like ds names */
for ($j=0; $j<count($fetch_array[$id]["values"][$fetch_id]); $j++) {
if (isset($fetch_array[$id]["values"][$fetch_id][$j])) {
$value = $fetch_array[$id]["values"][$fetch_id][$j];
}else{
$value = 0;
}
if (isset($sum_array["values"][$i][$j])) {
$sum_array["values"][$i][$j] += $value;
}else{
$sum_array["values"][$i][$j] = $value;
}
}
}
$i++;
}
}
/* calculate extra data, max, sum */
if (isset($sum_array["values"])) {
$num_ds = count($sum_array["values"]);
$total_ds = count($sum_array["values"]);
for ($j=0; $j<$total_ds; $j++) { /* each data source item */
for ($k=0; $k<count($sum_array["values"][$j]); $k++) { /* each rrd row */
/* now we must re-calculate the 95th max */
$value = 0;
if (isset($sum_array["values"][$j][$k])) {
$value = $sum_array["values"][$j][$k];
}
if (isset($sum_array["values"][$num_ds][$k])) {
$sum_array["values"][$num_ds][$k] = max($value, $sum_array["values"][$num_ds][$k]);
}else{
$sum_array["values"][$num_ds][$k] = max($value, 0);
}
/* sum of all ds rows */
$value = 0;
if (isset($sum_array["values"][$j][$k])) {
$value = $sum_array["values"][$j][$k];
}
if (isset($sum_array["values"][$num_ds + 1][$k])) {
$sum_array["values"][$num_ds + 1][$k] += $value;
}else{
$sum_array["values"][$num_ds + 1][$k] = $value;
}
}
}
$sum_array["data_source_names"][$num_ds] = "nth_percentile_aggregate_max";
$sum_array["data_source_names"][$num_ds + 1] = "nth_percentile_aggregate_sum";
}
$fetch_array = $sum_array;
}else{
/* No array, just calculate the 95th for the data source */
$fetch_array = @rrdtool_function_fetch($local_data_id, $start_seconds, $end_seconds, $resolution);
}
/* loop through each data source */
if (empty($fetch_array["data_source_names"])) {
$return_array = array();
}else{
for ($i=0; $i<count($fetch_array["data_source_names"]); $i++) {
if (isset($fetch_array["values"][$i])) {
$values_array = $fetch_array["values"][$i];
/* sort the array in descending order */
rsort($values_array, SORT_NUMERIC);
}
/* grab the N% row (or 1 - N% in reverse) and use that as our Nth percentile
value */
$inverse_percentile = 1 - ($percentile / 100);
$target = ((count($values_array) + 1) * $inverse_percentile);
$target = sprintf("%d", $target);
if (empty($values_array[$target])) { $values_array[$target] = 0; }
/* collect Nth percentile values in this array so we can return them */
$return_array{$fetch_array["data_source_names"][$i]} = $values_array[$target];
/* get max Nth calculation for aggregate */
if (($fetch_array["data_source_names"][$i] != "nth_percentile_aggregate_max") &&
($fetch_array["data_source_names"][$i] != "nth_percentile_aggregate_sum") &&
($fetch_array["data_source_names"][$i] != "nth_percentile_maximum")) {
if (isset($return_array{"nth_percentile_aggregate_total"})) {
if (($return_array{"nth_percentile_aggregate_total"} < $values_array[$target])) {
$return_array{"nth_percentile_aggregate_total"} = $values_array[$target];
}
}else{
$return_array{"nth_percentile_aggregate_total"} = $values_array[$target];
}
}
}
}
if (isset($return_array)) {
return $return_array;
}
}
/* bandwidth_summation - given a data source, sums all data in the rrd for a given
time period
@arg $local_data_id - the data source to perform the summation for
@arg $start_time - the start time to use for the data calculation. this value can
either be absolute (unix timestamp) or relative (to now)
@arg $end_time - the end time to use for the data calculation. this value can
either be absolute (unix timestamp) or relative (to now)
@arg $resolution - the accuracy of the data measured in seconds
@arg $rra_steps - how many periods each sample in the RRA counts for, values above '1'
result in an averaged summation
@arg $ds_steps - how many seconds each period represents
@returns - (array) an array containing each data source item, and its sum */
function bandwidth_summation($local_data_id, $start_time, $end_time, $rra_steps, $ds_steps) {
$fetch_array = @rrdtool_function_fetch($local_data_id, $start_time, $end_time, $rra_steps * $ds_steps);
if ((!isset($fetch_array["data_source_names"])) || (count($fetch_array["data_source_names"]) == 0)) {
return;
}
$return_array = array();
/* loop through each regexp determined above (or each data source) */
for ($i=0;$i<count($fetch_array["data_source_names"]);$i++) {
$sum = 0;
if (isset($fetch_array["values"][$i])) {
$values_array = $fetch_array["values"][$i];
foreach ($fetch_array["values"][$i] as $value) {
$sum += $value;
}
if (count($fetch_array["values"][$i]) != 0) {
$sum = ($sum * $ds_steps * $rra_steps);
}else{
$sum = 0;
}
/* collect summation alues in this array so we can return them */
$return_array[ $fetch_array["data_source_names"][$i] ] = $sum;
}
}
return $return_array;
}
/* variable_nth_percentile - given a Nth percentile variable, calculate the Nth percentile
and format it for display on the graph
@arg $regexp_match_array - the array that contains each argument in the Nth percentile variable. it
should be formatted like so:
$arr[0] // full variable string
$arr[1] // Nth percentile
$arr[2] // bits or bytes
$arr[3] // power of 10 divisor
$arr[4] // current, total, max, total_peak, all_max_current, all_max_peak
$arr[5] // digits of floating point precision
@arg $graph_item - an array that contains the current graph item
@arg $graph_items - an array that contains all graph items
@arg $graph_start - the start time to use for the data calculation. this value can
either be absolute (unix timestamp) or relative (to now)
@arg $graph_end - the end time to use for the data calculation. this value can
either be absolute (unix timestamp) or relative (to now)
@arg $seconds_between_graph_updates - the number of seconds between each update on the graph which
varies depending on the RRA in use
@returns - a string containg the Nth percentile suitable for placing on the graph */
function variable_nth_percentile(&$regexp_match_array, &$graph_item, &$graph_items, $graph_start, $graph_end) {
global $graph_item_types;
if (sizeof($regexp_match_array) == 0) {
return 0;
}
if (($regexp_match_array[1] < 1) || ($regexp_match_array[1] > 99)) {
/* error Nth Percentile variable is incorrect */
return -1;
}
/* Get the Nth percentile values */
if (($regexp_match_array[4] == "current") || ($regexp_match_array[4] == "max")) {
$nth_cache{$graph_item["local_data_id"]} = nth_percentile($graph_item["local_data_id"], $graph_start, $graph_end, $regexp_match_array[1]);
}elseif (($regexp_match_array[4] == "total") || ($regexp_match_array[4] == "total_peak") || ($regexp_match_array[4] == "all_max_current") || ($regexp_match_array[4] == "all_max_peak")) {
for ($t=0;($t<count($graph_items));$t++) {
if (!empty($graph_items[$t]["local_data_id"])) {
$nth_cache{$graph_items[$t]["local_data_id"]} = nth_percentile($graph_items[$t]["local_data_id"], $graph_start, $graph_end, $regexp_match_array[1]);
}
}
}elseif (($regexp_match_array[4] == "aggregate") || ($regexp_match_array[4] == "aggregate_sum") || ($regexp_match_array[4] == "aggregate_max")) {
$local_data_array = array();
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) && (!empty($graph_items[$t]["data_template_rrd_id"]))) {
$local_data_array[$graph_items[$t]["local_data_id"]][] = $graph_items[$t]["data_source_name"];
}
}
$nth_cache{0} = nth_percentile($local_data_array, $graph_start, $graph_end, $regexp_match_array[1]);
} elseif ($regexp_match_array[4] == "aggregate_current") {
$local_data_array = array();
if (!empty($graph_item["data_source_name"])) {
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) &&
(!empty($graph_items[$t]["data_template_rrd_id"])) &&
($graph_item["data_source_name"] == $graph_items[$t]["data_source_name"])) {
$local_data_array[$graph_items[$t]["local_data_id"]][] = $graph_items[$t]["data_source_name"];
}
}
$nth_cache{0} = nth_percentile($local_data_array, $graph_start, $graph_end, $regexp_match_array[1]);
}
}
$nth = 0;
/* format the output according to args passed to the variable */
if ($regexp_match_array[4] == "current") {
if (! empty($nth_cache{$graph_item["local_data_id"]}{$graph_item["data_source_name"]})) {
$nth = $nth_cache{$graph_item["local_data_id"]}{$graph_item["data_source_name"]};
$nth = ($regexp_match_array[2] == "bits") ? $nth * 8 : $nth;
$nth /= pow(10,intval($regexp_match_array[3]));
}
}elseif ($regexp_match_array[4] == "total") {
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) && (!empty($graph_items[$t]["data_template_rrd_id"]))) {
if (! empty($nth_cache{$graph_items[$t]["local_data_id"]}{$graph_items[$t]["data_source_name"]})) {
$local_nth = $nth_cache{$graph_items[$t]["local_data_id"]}{$graph_items[$t]["data_source_name"]};
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
$nth += $local_nth;
}
}
}
}elseif ($regexp_match_array[4] == "max") {
if (! empty($nth_cache{$graph_item["local_data_id"]}["nth_percentile_maximum"])) {
$nth = $nth_cache{$graph_item["local_data_id"]}["nth_percentile_maximum"];
$nth = ($regexp_match_array[2] == "bits") ? $nth * 8 : $nth;
$nth /= pow(10,intval($regexp_match_array[3]));
}
}elseif ($regexp_match_array[4] == "total_peak") {
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) && (!empty($graph_items[$t]["data_template_rrd_id"]))) {
if (! empty($nth_cache{$graph_items[$t]["local_data_id"]}["nth_percentile_maximum"])) {
$local_nth = $nth_cache{$graph_items[$t]["local_data_id"]}["nth_percentile_maximum"];
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
$nth += $local_nth;
}
}
}
}elseif ($regexp_match_array[4] == "all_max_current") {
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) && (!empty($graph_items[$t]["data_template_rrd_id"]))) {
if (! empty($ninety_fifth_cache{$graph_items[$t]["local_data_id"]}{$graph_items[$t]["data_source_name"]})) {
$local_nth = $ninety_fifth_cache{$graph_items[$t]["local_data_id"]}{$graph_items[$t]["data_source_name"]};
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
if ($local_nth > $nth) {
$nth = $local_nth;
}
}
}
}
}elseif ($regexp_match_array[4] == "all_max_peak") {
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) && (!empty($graph_items[$t]["data_template_rrd_id"]))) {
if (! empty($nth_cache{$graph_items[$t]["local_data_id"]}["nth_percentile_maximum"])) {
$local_nth = $nth_cache{$graph_items[$t]["local_data_id"]}["nth_percentile_maximum"];
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
if ($local_nth > $nth) {
$nth = $local_nth;
}
}
}
}
}elseif (($regexp_match_array[4] == "aggregate") || ($regexp_match_array[4] == "aggregate_current")) {
if (! empty($nth_cache{0}["nth_percentile_aggregate_total"])) {
$local_nth = $nth_cache{0}["nth_percentile_aggregate_total"];
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
$nth = $local_nth;
}
}elseif ($regexp_match_array[4] == "aggregate_max") {
if (! empty($nth_cache{0}["nth_percentile_aggregate_max"])) {
$local_nth = $nth_cache{0}["nth_percentile_aggregate_max"];
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
$nth = $local_nth;
}
}elseif ($regexp_match_array[4] == "aggregate_sum") {
if (! empty($nth_cache{0}["nth_percentile_aggregate_sum"])) {
$local_nth = $nth_cache{0}["nth_percentile_aggregate_sum"];
$local_nth = ($regexp_match_array[2] == "bits") ? $local_nth * 8 : $local_nth;
$local_nth /= pow(10,intval($regexp_match_array[3]));
$nth = $local_nth;
}
}
/* determine the floating point precision */
if (is_numeric($regexp_match_array[5])) {
$round_to = $regexp_match_array[5];
}else{
$round_to = 2;
}
/* return the final result and round off to two decimal digits */
return round($nth, $round_to);
}
/* variable_bandwidth_summation - given a bandwidth summation variable, calculate the summation
and format it for display on the graph
@arg $regexp_match_array - the array that contains each argument in the bandwidth summation variable. it
should be formatted like so:
$arr[0] // full variable string
$arr[1] // power of 10 divisor or 'auto'
$arr[2] // current, total
$arr[3] // digits of floating point precision
$arr[4] // seconds to perform the calculation for or 'auto'
@arg $graph_item - an array that contains the current graph item
@arg $graph_items - an array that contains all graph items
@arg $graph_start - the start time to use for the data calculation. this value can
either be absolute (unix timestamp) or relative (to now)
@arg $graph_end - the end time to use for the data calculation. this value can
either be absolute (unix timestamp) or relative (to now)
@arg $seconds_between_graph_updates - the number of seconds between each update on the graph which
varies depending on the RRA in use
@arg $rra_step - how many periods each sample in the RRA counts for, values above '1' result in an
averaged summation
@arg $ds_step - how many seconds each period represents
@returns - a string containg the bandwidth summation suitable for placing on the graph */
function variable_bandwidth_summation(&$regexp_match_array, &$graph_item, &$graph_items, $graph_start, $graph_end, $rra_step, $ds_step) {
global $graph_item_types;
if (sizeof($regexp_match_array) == 0) {
return 0;
}
if (is_numeric($regexp_match_array[4])) {
$summation_timespan_start = -$regexp_match_array[4];
}else{
$summation_timespan_start = $graph_start;
}
if ($regexp_match_array[2] == "current") {
$summation_cache{$graph_item["local_data_id"]} = bandwidth_summation($graph_item["local_data_id"], $summation_timespan_start, $graph_end, $rra_step, $ds_step);
}elseif ($regexp_match_array[2] == "total") {
for ($t=0;($t<count($graph_items));$t++) {
if (!empty($graph_items[$t]["local_data_id"])) {
$summation_cache{$graph_items[$t]["local_data_id"]} = bandwidth_summation($graph_items[$t]["local_data_id"], $summation_timespan_start, $graph_end, $rra_step, $ds_step);
}
}
}elseif ($regexp_match_array[2] == "atomic") {
$summation_cache{$graph_item["local_data_id"]} = bandwidth_summation($graph_item["local_data_id"], $summation_timespan_start, $graph_end, $rra_step, 1);
}
$summation = 0;
/* format the output according to args passed to the variable */
if (($regexp_match_array[2] == "current") || ($regexp_match_array[2] == "atomic")) {
$summation = $summation_cache{$graph_item["local_data_id"]}{$graph_item["data_source_name"]};
}elseif ($regexp_match_array[2] == "total") {
for ($t=0;($t<count($graph_items));$t++) {
if ((preg_match("/(AREA|STACK|LINE[123])/", $graph_item_types{$graph_items[$t]["graph_type_id"]})) && (!empty($graph_items[$t]["data_template_rrd_id"]))) {
if (isset($summation_cache{$graph_items[$t]["local_data_id"]}{$graph_items[$t]["data_source_name"]})) {
$summation += $summation_cache{$graph_items[$t]["local_data_id"]}{$graph_items[$t]["data_source_name"]};
}
}
}
}
if (preg_match("/\d+/", $regexp_match_array[1])) {
$summation /= pow(10,intval($regexp_match_array[1]));
}elseif ($regexp_match_array[1] == "auto") {
if ($summation < 1000) {
$summation_label = "bytes";
}elseif ($summation < 1000000) {
$summation_label = "KB";
$summation /= 1000;
}elseif ($summation < 1000000000) {
$summation_label = "MB";
$summation /= 1000000;
}elseif ($summation < 1000000000000) {
$summation_label = "GB";
$summation /= 1000000000;
}else{
$summation_label = "TB";
$summation /= 1000000000000;
}
}
/* determine the floating point precision */
if (is_numeric($regexp_match_array[3])) {
$round_to = $regexp_match_array[3];
}else{
$round_to = 2;
}
/* substitute in the final result and round off to two decimal digits */
if (isset($summation_label)) {
return round($summation, $round_to) . " $summation_label";
}else{
return round($summation, $round_to);
}
}
?>
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