From 4a1a0ae8b7fe99b6849f7adbe885fb131afc2b2e Mon Sep 17 00:00:00 2001 From: daniel Date: Wed, 13 Dec 2017 17:17:45 +0100 Subject: [PATCH] fixed errors in graphs --- .../images/help/chart_normal_detail.png | Bin 0 -> 50802 bytes .../images/help/chart_normal_sample.png | Bin 0 -> 42384 bytes .../images/help/chart_tip_detail.png | Bin 0 -> 42794 bytes .../images/help/chart_tip_sample.png | Bin 0 -> 29853 bytes pandora_console/include/functions.php | 2 +- pandora_console/include/functions_db.php | 167 ++++++++---- pandora_console/include/functions_graph.php | 244 +++++++++++------- .../include/graphs/flot/pandora.flot.js | 1 + .../include/graphs/functions_flot.php | 8 +- .../include/help/en/help_graphs.php | 148 +++++++++++ .../include/help/es/help_graphs.php | 148 +++++++++++ .../include/help/ja/help_graphs.php | 148 +++++++++++ .../operation/agentes/stat_win.php | 4 +- 13 files changed, 708 insertions(+), 162 deletions(-) create mode 100644 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z0eZX~;_|gKThp{j3VO`5ly>)qkrBdm;GL=fbkW%Mw9;)l*7VOb0X^`<;2@~8(2%Tq z{JeLX=X*yzk{2Hj1@v8Yo1%=o5!lymclJWhKHaQO-&C#3QyX*^=`y!@uD@ywHuJr(7@xCC_sy=kCo!IoG z3-h>mkZ5|sZ-dZvTDDWp#CzLE>)1PsRg_-S8GokNA;jw!wUs^PPl3?P28;K65VGyN z-&tb;n7is8*thmM2jq=a@3sr5ON#JCL&GJFw(;^=X|#-}4nvTarSIj`mNkD5wz!Tq zEnS!FS0h@LAvha#qY(Z&xR4S|AUZs!b=)nZvrlBFYX${LIC7QpLo~)khK~sW`WyH| zG`#m1ViNMO5Z59?6n7j2@w{}QOFhnz7Zg-BX+Gf9E3v9{ReR$!e83$u)e+wKUNkWl zt+WChW@O=J?(1MoRk71vZ|F}*g!L>i{ zGC$~_)X6!Pjdo0}kQQoEYKTG-ho!b_tDIPwD8^Q5SZ2_+7pCdkS{(FBXnf%JW $id_agente_modulo, + "utimestamp <= $tstart", + 'order' => 'utimestamp DESC' + ), + false, + 'AND', $search_historydb ); - //don't show graph if graph is inside unknown - if( $previous_unknown_events && - !isset($previous_unknown_events[count($previous_unknown_events) -1]['time_to']) && + //show graph if graph is inside unknown + if( $previous_unknown_events && $previous_unknown_events['event_type'] == 'going_unknown' && $unknown_events === false && $raw_data === false){ - return false; + $last_inserted_value = $first_data["datos"]; + $unknown_events[0]['time_from'] = $tstart+0.1; } //if time to is missing in last event force time to outside range time @@ -683,11 +697,14 @@ function db_uncompress_module_data($id_agente_modulo, $tstart = false, $tend = f } //if time to is missing in first event force time to outside range time - if ($first_data["datos"] === false) { + if ($first_data["datos"] === false && !$flag_async) { $last_inserted_value = false; - }elseif( $unknown_events && !isset($unknown_events[0]['time_from']) || - $first_utimestamp < $tstart - (SECONDS_1DAY + 2*$module_interval) ){ - $last_inserted_value = null; + }elseif( ($unknown_events && !isset($unknown_events[0]['time_from']) && + $previous_unknown_events && $previous_unknown_events['event_type'] == 'going_unknown' && !$flag_async) || + ($first_utimestamp < $tstart - (SECONDS_1DAY + 2*$module_interval) && !$flag_async) ){ + //$last_inserted_value = null; + $last_inserted_value = $first_data["datos"]; + $unknown_events[0]['time_from'] = $tstart+0.1; } else{ $last_inserted_value = $first_data["datos"]; @@ -703,26 +720,46 @@ function db_uncompress_module_data($id_agente_modulo, $tstart = false, $tend = f $last_timestamp = $first_data["utimestamp"]; $last_value = $first_data["datos"]; + //reverse array data optimization + $raw_data = array_reverse($raw_data); + // Build template $pool_id = 0; $now = time(); - $current_unknown = array_shift($unknown_events); - $current_raw_data = array_shift($raw_data); + if($unknown_events){ + $current_unknown = array_shift($unknown_events); + } + else{ + $current_unknown = null; + } + + if($raw_data){ + $current_raw_data = array_pop($raw_data); + } + else{ + $current_raw_data = null; + } while ( $current_timestamp < $tend ) { $return[$pool_id]["data"] = array(); $tmp_data = array(); $current_timestamp_end = $current_timestamp + $slice_size; - if ( ( $current_timestamp > $now) || - ( ($current_timestamp_end - $last_timestamp) > - (SECONDS_1DAY + 2*$module_interval) ) ) { - $tmp_data["utimestamp"] = $last_timestamp + SECONDS_1DAY + 2*$module_interval; + if (( $current_timestamp > $now) || + ( ($current_timestamp_end - $last_timestamp) > + (SECONDS_1DAY + 2 * $module_interval) ) ) { + + $tmp_data["utimestamp"] = $last_timestamp + SECONDS_1DAY + 2 * $module_interval; //check not init $tmp_data["datos"] = $last_value === false ? false : null; + //async not unknown + if($flag_async && $tmp_data["datos"] === null){ + $tmp_data["datos"] = $last_inserted_value; + } + // debug purpose //$tmp_data["obs"] = "unknown extra"; array_push($return[$pool_id]["data"], $tmp_data); @@ -751,49 +788,60 @@ function db_uncompress_module_data($id_agente_modulo, $tstart = false, $tend = f $last_value = $current_raw_data["datos"]; $last_timestamp = $current_raw_data["utimestamp"]; - $current_raw_data = array_shift($raw_data); + if($raw_data){ + $current_raw_data = array_pop($raw_data); + } + else{ + $current_raw_data = null; + } } - + //unknown $data_slices = $return[$pool_id]["data"]; - while ( ($current_unknown != null) && - ( ( ($current_unknown['time_from'] != null) && - ($current_timestamp_end >= $current_unknown['time_from']) ) || - ($current_timestamp_end >= $current_unknown['time_to']) ) ) { - - if( ( $current_timestamp <= $current_unknown['time_from']) && - ( $current_timestamp_end >= $current_unknown['time_from'] ) ){ - // Add unknown state detected - $tmp_data["utimestamp"] = $current_unknown["time_from"]; - $tmp_data["datos"] = null; - // debug purpose - //$tmp_data["obs"] = "event data unknown from"; - array_push($return[$pool_id]["data"], $tmp_data); - $current_unknown["time_from"] = null; - } - - if( ($current_timestamp < $current_unknown['time_to']) && - ($current_timestamp_end >= $current_unknown['time_to'] ) ){ - $tmp_data["utimestamp"] = $current_unknown["time_to"]; - $i = count($data_slices) - 1; - while ($i >= 0) { - if($data_slices[$i]['utimestamp'] <= $current_unknown["time_to"]){ - $tmp_data["datos"] = - $data_slices[$i]['datos'] == null - ? $last_value - : $data_slices[$i]['datos']; - break; - } - $i--; + if(!$flag_async){ + while ( ($current_unknown != null) && + ( ( ($current_unknown['time_from'] != null) && + ($current_timestamp_end >= $current_unknown['time_from']) ) || + ($current_timestamp_end >= $current_unknown['time_to']) ) ) { + + if( ( $current_timestamp <= $current_unknown['time_from']) && + ( $current_timestamp_end >= $current_unknown['time_from'] ) ){ + // Add unknown state detected + $tmp_data["utimestamp"] = $current_unknown["time_from"]; + $tmp_data["datos"] = null; + // debug purpose + //$tmp_data["obs"] = "event data unknown from"; + array_push($return[$pool_id]["data"], $tmp_data); + $current_unknown["time_from"] = null; + } + + if( ($current_timestamp <= $current_unknown['time_to']) && + ($current_timestamp_end >= $current_unknown['time_to'] ) ){ + $tmp_data["utimestamp"] = $current_unknown["time_to"]; + $i = count($data_slices) - 1; + while ($i >= 0) { + if($data_slices[$i]['utimestamp'] <= $current_unknown["time_to"]){ + $tmp_data["datos"] = + $data_slices[$i]['datos'] == null + ? $last_value + : $data_slices[$i]['datos']; + break; + } + $i--; + } + + // debug purpose + //$tmp_data["obs"] = "event data unknown to"; + array_push($return[$pool_id]["data"], $tmp_data); + if($unknown_events){ + $current_unknown = array_shift($unknown_events); + } + else{ + $current_unknown = null; + } } - - // debug purpose - //$tmp_data["obs"] = "event data unknown to"; - array_push($return[$pool_id]["data"], $tmp_data); - $current_unknown = array_shift($unknown_events); } } - //sort current slice usort( $return[$pool_id]['data'], @@ -810,6 +858,15 @@ function db_uncompress_module_data($id_agente_modulo, $tstart = false, $tend = f $pool_id++; $current_timestamp = $current_timestamp_end; } + + //slice to the end. + if($pool_id == 1){ + $end_array = array(); + $end_array['data'][0]['utimestamp'] = $tend; + $end_array['data'][0]['datos'] = $last_inserted_value; + //$end_array['data'][0]['obs'] = 'virtual data END'; + array_push($return, $end_array); + } return $return; } diff --git a/pandora_console/include/functions_graph.php b/pandora_console/include/functions_graph.php index 65ad585ef0..07b9a287e7 100644 --- a/pandora_console/include/functions_graph.php +++ b/pandora_console/include/functions_graph.php @@ -247,27 +247,23 @@ function grafico_modulo_sparse_data_chart (&$chart, &$chart_data_extra, &$long_i // Event iterator $event_i = 0; - // Is unknown flag - $is_unknown = $start_unknown; - // Calculate chart data $last_known = $previous_data; + + $first_events_unknown = $start_unknown; for ($i = 0; $i <= $resolution; $i++) { $timestamp = $datelimit + ($interval * $i); - if ($fullscale && ($resolution > ($config['graph_res'] * 50))) { - $timestamp = $data[$i]['utimestamp']; - } - $total = 0; $count = 0; // Read data that falls in the current interval $interval_min = false; $interval_max = false; - - while (isset ($data[$data_i]) && $data[$data_i]['utimestamp'] >= $timestamp && $data[$data_i]['utimestamp'] < ($timestamp + $interval)) { + + while (isset ($data[$data_i]) && $data[$data_i]['utimestamp'] >= $timestamp + && $data[$data_i]['utimestamp'] < ($timestamp + $interval)) { if ($interval_min === false) { $interval_min = $data[$data_i]['datos']; } @@ -308,11 +304,17 @@ function grafico_modulo_sparse_data_chart (&$chart, &$chart_data_extra, &$long_i $alert_value = 0; $unknown_value = 0; // Is the first point of a unknown interval + $check_unknown = false; $first_unknown = false; - + if($first_events_unknown){ + $is_unknown = true; + } + $event_ids = array(); $alert_ids = array(); - while (isset ($events[$event_i]) && $events[$event_i]['utimestamp'] >= $timestamp && $events[$event_i]['utimestamp'] <= ($timestamp + $interval)) { + + while (isset ($events[$event_i]) && $events[$event_i]['utimestamp'] >= $timestamp + && $events[$event_i]['utimestamp'] <= ($timestamp + $interval)) { if ($show_events == 1) { $event_value++; $event_ids[] = $events[$event_i]['id_evento']; @@ -327,8 +329,11 @@ function grafico_modulo_sparse_data_chart (&$chart, &$chart_data_extra, &$long_i $first_unknown = true; } $is_unknown = true; + $check_unknown = true; } else if (substr ($events[$event_i]['event_type'], 0, 5) == 'going') { + $first_events_unknown = false; + $first_unknown = false; $is_unknown = false; } } @@ -489,9 +494,14 @@ function grafico_modulo_sparse_data_chart (&$chart, &$chart_data_extra, &$long_i if (!isset($chart[$timestamp]['unknown'.$series_suffix])) { $chart[$timestamp]['unknown'.$series_suffix] = 0; } - $chart[$timestamp]['unknown'.$series_suffix] = $unknown_value; - $series_type['unknown'.$series_suffix] = 'area'; + + if($unknown_value == 0 && $check_unknown == true){ + $chart[$timestamp]['unknown'.$series_suffix] = 1; + $check_unknown = false; + } + + $series_type['unknown'.$series_suffix] = 'unknown'; } if (!empty($event_ids)) { @@ -502,6 +512,14 @@ function grafico_modulo_sparse_data_chart (&$chart, &$chart_data_extra, &$long_i } } + //min paint graph 2 elements + if(count($chart) == 1){ + $timestamp_short = date($time_format, $date_limit); + foreach($chart as $key => $value){ + $chart[$timestamp_short] = $value; + } + } + if (!is_null($percentil) && $percentil) { $avg = array_map(function($item) { return $item['sum'];}, $chart); @@ -546,8 +564,13 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, $start_unknown = false; // Set variables - if ($date == 0) $date = get_system_time(); + if ($date == 0) { + $date = get_system_time(); + } + $datelimit = $date - $period; + + $search_in_history_db = db_search_in_history_db($datelimit); if($force_interval){ @@ -562,6 +585,7 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, } else{ $interval = (int) ($period / $resolution); + } $agent_name = modules_get_agentmodule_agent_name ($agent_module_id); @@ -617,7 +641,7 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, fullscale_data( $chart, $chart_data_extra, $long_index, $series_type, $agent_module_id, $datelimit, $date, $events, $show_events, $show_unknown, $show_alerts, - $series_suffix, $percentil, $flash_chart); + $series_suffix, $percentil, $flash_chart, false); if (count($chart) > $resolution) { $resolution = count($chart); //Number of points of the graph $interval = (int) ($period / $resolution); @@ -629,45 +653,8 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, "utimestamp > $datelimit", "utimestamp < $date", 'order' => 'utimestamp ASC'), - array ('datos', 'utimestamp'), 'AND', false); + array ('datos', 'utimestamp'), 'AND', $search_in_history_db); - if ($search_in_history_db) { - $cache = false; - $history = false; - - $sql = "SELECT datos, utimestamp FROM tagente_datos WHERE id_agente_modulo = " . (int)$agent_module_id . - " AND utimestamp > " . $datelimit . " AND utimestamp < " . $date . - " ORDER BY utimestamp ASC"; - - // Connect to the history DB - if (! isset ($config['history_db_connection']) || $config['history_db_connection'] === false) { - $config['history_db_connection'] = db_connect($config['history_db_host'], $config['history_db_name'], $config['history_db_user'], io_output_password($config['history_db_pass']), $config['history_db_port'], false); - } - if ($config['history_db_connection'] !== false) { - $history = mysql_db_process_sql ($sql, 'affected_rows', $config['history_db_connection'], false); - } - - if ($history === false) { - $history = array (); - } - - $new_data = array(); - $last_timestamp = 0; - foreach($history as $h) { - $new_data[] = $h; - $last_timestamp = $h['utimestamp']; - } - foreach($data as $d) { - if ($d['utimestamp'] > $last_timestamp) { - $new_data[] = $d; - $last_timestamp = $d['utimestamp']; - } - } - $data = $new_data; - } - - - if ($data === false) { $data = array (); } @@ -755,6 +742,18 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, // Calculate chart data if($fullscale){ $avg_only = 1; + + //Percentil + if (!is_null($percentil) && $percentil) { + $avg = array_map(function($item) { return $item['sum'];}, $chart); + + $percentil_result = get_percentile($percentil, $avg); + + //Fill the data of chart + array_walk($chart, function(&$item) use ($percentil_result, $series_suffix) { + $item['percentil' . $series_suffix] = $percentil_result; }); + $series_type['percentil' . $series_suffix] = 'line'; + } } else{ grafico_modulo_sparse_data_chart ($chart, $chart_data_extra, $long_index, @@ -765,7 +764,7 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, $percentil, $fullscale, $force_interval, $time_interval, $max_only, $min_only); } - + // Return chart data and don't draw if ($return_data == 1) { return $chart; @@ -782,8 +781,11 @@ function grafico_modulo_sparse_data ($agent_module_id, $period, $show_events, $event_max = 5; } } - + foreach ($chart as $timestamp => $chart_data) { + if($chart_data['max'] > $event_max){ + $event_max = $chart_data['max']; + } if ($show_events && $chart_data['event' . $series_suffix] > 0) { $chart[$timestamp]['event' . $series_suffix] = $event_max * 1.2; } @@ -1316,6 +1318,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, if ($data === false) { $data = array (); } + // Uncompressed module data if ($uncompressed_module) { @@ -1346,7 +1349,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, $min_necessary = 2; } - + // Set initial conditions $graph_values[$i] = array(); @@ -1431,7 +1434,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, $min = null; $avg = 0; $countAvg = 0; - + // Calculate chart data $last_known = $previous_data; for ($l = 0; $l <= $resolution; $l++) { @@ -1463,7 +1466,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, $count++; $j++; } - + // Average if ($count > 0) { $total /= $count; @@ -1511,7 +1514,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, $min = $temp_graph_values[$timestamp_short]; } $avg += $temp_graph_values[$timestamp_short]; - + // Added to support projection graphs if ($projection != false and $i != 0) { $projection_data = array(); @@ -1522,7 +1525,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, $graph_values[$i] = $temp_graph_values; } } - + //Add the max, min and avg in the legend $avg = round($avg / $countAvg, 1); @@ -1602,8 +1605,7 @@ function graphic_combined_module ($module_list, $weight_list, $period, $temp = array(); if ($flash_charts === false && $stacked == CUSTOM_GRAPH_GAUGE) - $stacked = CUSTOM_GRAPH_BULLET_CHART; - + $stacked = CUSTOM_GRAPH_BULLET_CHART; switch ($stacked) { case CUSTOM_GRAPH_BULLET_CHART_THRESHOLD: case CUSTOM_GRAPH_BULLET_CHART: @@ -1721,7 +1723,6 @@ function graphic_combined_module ($module_list, $weight_list, $period, else $module = $module_item; - $module_data = modules_get_agentmodule($module); $query_last_value = sprintf(' SELECT datos @@ -1904,6 +1905,16 @@ function graphic_combined_module ($module_list, $weight_list, $period, } } } + + //check min array two elements + if(count($temp) == 1){ + $timestamp_short = graph_get_formatted_date($date, $time_format, $time_format_2); + foreach($temp as $key => $value){ + foreach($value as $k => $v){ + $temp[$timestamp_short][$k] = $v; + } + } + } break; } } @@ -1913,7 +1924,13 @@ function graphic_combined_module ($module_list, $weight_list, $period, $flash_charts = false; } - $temp = fullscale_data_combined($module_list, $period, $date, $flash_charts); + $temp = fullscale_data_combined($module_list, $period, $date, $flash_charts, $percentil); + + if (!is_null($percentil) && $percentil) { + if(isset($temp['percentil'])){ + $percentil_result = array_pop($temp); + } + } $resolution = count($temp); //Number of points of the graph $interval = (int) ($period / $resolution); @@ -1942,10 +1959,20 @@ function graphic_combined_module ($module_list, $weight_list, $period, $module_name_list[$key] = $alias . " / " . $module_name; } } - } - - $graph_values = $temp; + if (!is_null($percentil) && $percentil) { + foreach ($module_list as $key => $value) { + $agent_name = io_safe_output( modules_get_agentmodule_agent_name ($value) ); + $alias = db_get_value ("alias","tagente","nombre",$agent_name); + $module_name = io_safe_output( modules_get_agentmodule_name ($value) ); + $module_name_list['percentil'.$key] = __('Percentile %dº', $config['percentil']) . __(' of module ') . $agent_name .' / ' . $module_name . ' (' . $percentil_result[$key][0] . ' ' . $unit . ') '; + $series_type[$key] = 'line'; + } + } + } + + $graph_values = $temp; + if($config["fixed_graph"] == false){ $water_mark = array( 'file' => $config['homedir'] . "/images/logo_vertical_water.png", @@ -2193,8 +2220,8 @@ function graphic_combined_module ($module_list, $weight_list, $period, } } -function fullscale_data_combined($module_list, $period, $date, $flash_charts){ - +function fullscale_data_combined($module_list, $period, $date, $flash_charts, $percentil){ + global $config; // Set variables if ($date == 0){ $date = get_system_time(); @@ -2203,6 +2230,10 @@ function fullscale_data_combined($module_list, $period, $date, $flash_charts){ $datelimit = $date - $period; foreach ($module_list as $key_module => $value_module) { + if (!is_null($percentil) && $percentil) { + $array_percentil = array(); + } + $data_uncompress = db_uncompress_module_data($value_module, $datelimit, $date); foreach ($data_uncompress as $key_data => $value_data) { foreach ($value_data['data'] as $k => $v) { @@ -2212,14 +2243,24 @@ function fullscale_data_combined($module_list, $period, $date, $flash_charts){ else{ $real_date = $v['utimestamp']; } + + if (!is_null($percentil) && $percentil) { + $array_percentil[] = $v['datos']; + } + $data_all[$real_date][$key_module] = $v['datos']; } } + + if (!is_null($percentil) && $percentil) { + $percentil_value = get_percentile($config['percentil'], $array_percentil); + $percentil_result[$key_module] = array_fill (0, count($data_all), $percentil_value); + } } $data_prev = array(); - ksort($data_all); + //ksort($data_all); foreach ($data_all as $key => $value) { foreach ($module_list as $key_module => $value_module) { if(!isset($value[$key_module])){ @@ -2231,6 +2272,10 @@ function fullscale_data_combined($module_list, $period, $date, $flash_charts){ } } + if (!is_null($percentil) && $percentil) { + $data_all['percentil'] = $percentil_result; + } + return $data_all; } @@ -3953,7 +3998,7 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, $datelimit = $date - $period; $search_in_history_db = db_search_in_history_db($datelimit); $resolution = $config['graph_res'] * 50; //Number of points of the graph - $interval = (int) ($period / $resolution); + $interval = (float) ($period / $resolution); $agent_name = modules_get_agentmodule_agent_name ($agent_module_id); $agent_id = agents_get_agent_id ($agent_name); $module_name = modules_get_agentmodule_name ($agent_module_id); @@ -4003,7 +4048,7 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, fullscale_data( $chart, $chart_data_extra, $long_index, $series_type, $agent_module_id, $datelimit, $date, $events, $show_events, $show_unknown, $show_alerts, - $series_suffix, $percentil, $flash_chart); + $series_suffix, $percentil, $flash_chart,true); if (count($chart) > $resolution) { $resolution = count($chart); //Number of points of the graph $interval = (int) ($period / $resolution); @@ -4027,8 +4072,6 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, // Uncompressed module data if ($uncompressed_module) { $min_necessary = 1; - - // Compressed module data } else { // Get previous data @@ -4062,8 +4105,6 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, graphic_error (); } - - // Data iterator $j = 0; @@ -4080,17 +4121,14 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, } $max_value = 0; - // Calculate chart data $last_known = $previous_data; + $first_events_unknown = $start_unknown; + for ($i = 0; $i <= $resolution; $i++) { $timestamp = $datelimit + ($interval * $i); - /* - if ($fullscale && ($resolution > ($config['graph_res'] * 50))) { - $timestamp = $data[$i]['utimestamp']; - } - */ + $zero = 0; $total = 0; $count = 0; @@ -4124,10 +4162,13 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, $event_value = 0; $alert_value = 0; $unknown_value = 0; - // Is the first point of a unknown interval - $first_unknown = false; $check_unknown = false; + $first_unknown = false; + if($first_events_unknown){ + $is_unknown = true; + } + $event_ids = array(); $alert_ids = array(); while (isset ($events[$k]) && @@ -4146,15 +4187,13 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, if ($is_unknown == false) { $first_unknown = true; } - else{ - $first_unknown = false; - } - $check_unknown = true; $is_unknown = true; + $check_unknown = true; } else if (substr ($events[$k]['event_type'], 0, 5) == 'going') { - $is_unknown = false; + $first_events_unknown = false; $first_unknown = false; + $is_unknown = false; } } $k++; @@ -4195,12 +4234,12 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, if ($total > $max_value) { $max_value = $total; } - + // Data if ($show_events) { if (!isset($chart[$timestamp]['event'.$series_suffix])) { $chart[$timestamp]['event'.$series_suffix] = 0; } - + $chart[$timestamp]['event'.$series_suffix] += $event_value; $series_type['event'.$series_suffix] = 'points'; } @@ -4232,29 +4271,28 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, } } + $series_type['sum' . $series_suffix] = 'boolean'; + if ($show_unknown) { if (!isset($chart[$timestamp]['unknown'.$series_suffix])) { $chart[$timestamp]['unknown'.$series_suffix] = 0; } $chart[$timestamp]['unknown'.$series_suffix] = $unknown_value; - + if($unknown_value == 0 && $check_unknown == true){ $chart[$timestamp]['unknown'.$series_suffix] = 1; $check_unknown = false; } - - $series_type['unknown'.$series_suffix] = 'area'; + + $series_type['unknown'.$series_suffix] = 'unknown'; } - $series_type['sum' . $series_suffix] = 'boolean'; - if (!empty($event_ids)) { $chart_extra_data[count($chart)-1]['events'] = implode(',',$event_ids); } if (!empty($alert_ids)) { $chart_extra_data[count($chart)-1]['alerts'] = implode(',',$alert_ids); } - } } @@ -4268,6 +4306,7 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, $graph_stats = get_statwin_graph_statistics($chart, $series_suffix); // Fix event and alert scale + $max_value = 1; foreach ($chart as $timestamp => $chart_data) { if ($show_events) { if ($chart_data['event'.$series_suffix] > 0) { @@ -4285,7 +4324,6 @@ function grafico_modulo_boolean_data ($agent_module_id, $period, $show_events, } } } - /////////////////////////////////////////////////// if(!$fullscale){ // Set the title and time format @@ -4366,7 +4404,7 @@ function fullscale_data ( &$chart_data, &$chart_extra_data, &$long_index, $events = false, $show_events = false, $show_unknown = false, $show_alerts = false, $series_suffix = '', $percentil = false, - $flash_chart = true ){ + $flash_chart = true, $boolean_graph = false){ global $config; global $max_value; @@ -4504,7 +4542,13 @@ function fullscale_data ( &$chart_data, &$chart_extra_data, &$long_index, } $series_type['event'.$series_suffix] = 'points'; $series_type['alert'.$series_suffix] = 'points'; - $series_type['unknown'.$series_suffix] = 'area'; + $series_type['unknown'.$series_suffix] = 'unknown'; + if($boolean_graph){ + $series_type['sum'.$series_suffix] = 'boolean'; + } + else{ + $series_type['sum'.$series_suffix] = 'area'; + } } function grafico_modulo_boolean ($agent_module_id, $period, $show_events, diff --git a/pandora_console/include/graphs/flot/pandora.flot.js b/pandora_console/include/graphs/flot/pandora.flot.js index 9c9613420f..20915b9249 100644 --- a/pandora_console/include/graphs/flot/pandora.flot.js +++ b/pandora_console/include/graphs/flot/pandora.flot.js @@ -942,6 +942,7 @@ function pandoraFlotArea(graph_id, values, labels, labels_long, legend, filled = false; steps_chart = false break; + case 'unknown': case 'boolean': line_show = true; points_show = false; diff --git a/pandora_console/include/graphs/functions_flot.php b/pandora_console/include/graphs/functions_flot.php index 75569c5922..334ad3cfe9 100644 --- a/pandora_console/include/graphs/functions_flot.php +++ b/pandora_console/include/graphs/functions_flot.php @@ -338,7 +338,7 @@ function flot_area_graph($chart_data, $width, $height, $color, $legend, } foreach ($chart_data as $label => $values) { - $labels[] = io_safe_output($label); + $labels[] = $label; foreach($values as $key => $value) { $jsvar = "data_" . $graph_id . "_" . $key; @@ -716,7 +716,7 @@ function flot_hcolumn_chart ($graph_data, $width, $height, $water_mark, $font = $data = array(); foreach ($graph_data as $label => $values) { - $labels[] = io_safe_output($label); + $labels[] = $label; $i--; foreach ($values as $key => $value) { @@ -818,7 +818,7 @@ function flot_vcolumn_chart ($graph_data, $width, $height, $color, $legend, $lon $max = 0; $i = count($graph_data); foreach ($graph_data as $label => $values) { - $labels[] = io_safe_output($label); + $labels[] = $label; $i--; foreach ($values as $key => $value) { @@ -942,7 +942,7 @@ function flot_slicesbar_graph ($graph_data, $period, $width, $height, $legend, $ $c = 0; $acumulate_data = array(); foreach ($graph_data as $label => $values) { - $labels[] = io_safe_output($label); + $labels[] = $label; $i--; foreach ($values as $key => $value) { diff --git a/pandora_console/include/help/en/help_graphs.php b/pandora_console/include/help/en/help_graphs.php new file mode 100644 index 0000000000..0fc35349a9 --- /dev/null +++ b/pandora_console/include/help/en/help_graphs.php @@ -0,0 +1,148 @@ + + + + + + +

INTERPRETING GHRAPHS IN PANDORA FMS

+ + +

In Pandora FMS, graphs represent the values a module has had during a given period.

+

Due to the large amount of data that Pandora FMS stores, two different types of functionality are offered

+ + +

NORMAL GRAPHS

+ +images/help/chart_normal_sample.png" alt="regular chart sample" /> + +

General characteristics

+

These are graphs that represent the information stored by the module at a basic level.

+

They allow us to see an approximation of the values in which our module oscillates.

+

The module data are divided into boxes in such a way that a sample of the module values is represented, not all values are shown. This is complemented by dividing the view into three graphs, Max (maximum values), min (minimum values) and avg (average values)

+ +
    +
  • Advantages: They are generated very quickly without consuming hardly any resources.
    • +
  • Disadvantages: The information provided is approximate. The status of the monitors they represent are calculated on an event-driven basis.
    • + + + +

    Display options

    + +
    +
    Refresh time
    +
    Time the graph will take to be created again.
    + +
    Avg. Only
    +
    Only the averages graph will be created.
    + +
    Starting date
    +
    Date until which the graphic will be created.
    + +
    Startup time
    +
    Hour minutes and seconds until the graphic is created.
    + +
    Zoom factor
    +
    Graph viewfinder size, multiplicative.
    + +
    Time Range
    +
    Sets the time period from which data will be collected.
    + +
    Show events
    +
    Displays indicator points with event information at the top.
    + +
    Show alerts
    +
    Shows indicator points with triggered alert information at the top.
    + +
    Show percentile
    +
    Adds a graph that indicates the percentile line (configurable in general visual options of Pandora).
    + +
    Time comparison (superimposed)
    +
    Displays the same graphic overlay, but in the period before the selected one. For example, if we request a period of one week and activate this option, the week before the chosen one will also be shown superimposed.
    + +
    Time comparison (independent)
    +
    Displays the same graph, but in the period before the selected one, in a separate area. For example, if we request a period of one week and activate this option, the week before the chosen one will also be shown.
    + +
    Display unknown graphic
    +
    It shows boxes in grey shading covering the periods in which Pandora FMS cannot guarantee the module's status, either due to data loss, disconnection of a software agent, etc.
    + +
    Show Full Scale Graph (TIP)
    +
    Switches the creation mode from "normal" to "TIP". In this mode, the graphs will show real data rather than approximations, so the time it will take to generate them will be longer. More detailed information on this type of graphs can be found in the following section.
    + +
    + + + + +
    +
    + + +

    TIP GRAPS

    +images/help/chart_tip_sample.png" alt="TIP chart sample" /> + +

    General characteristics

    +

    These are graphs that represent real data.

    +

    They show us a true representation of the data reported by our module.

    +

    As these are real data, it will not be necessary to supplement the information with extra graphs (avg, min, max).

    +

    The calculation of periods in unknown state is supported by events, such as normal graphs, but is complemented by extra detection if there is any.

    +

    Examples of resolution offered by normal and TIP methods:

    + +
    Example of normal graph in unknown interval
    +images/help/chart_normal_detail.png" alt="TIP chart detail" /> + +
    Example of TIP graph in unknown interval
    +images/help/chart_tip_detail.png" alt="TIP chart detail" /> + +
    + +
      +
    • Advantages: The data represented are real data. This is the most realistic way to review module data.
      • +
    • Disadvantages: Processing is slower than in normal graphs. Depending on the time range and the volume of data to be displayed, your display may be less fluid.
      • +
    + + + diff --git a/pandora_console/include/help/es/help_graphs.php b/pandora_console/include/help/es/help_graphs.php new file mode 100644 index 0000000000..2f98d43ccf --- /dev/null +++ b/pandora_console/include/help/es/help_graphs.php @@ -0,0 +1,148 @@ + + + + + + +

    Interpretar las gráficas en Pandora FMS

    + + +

    Las gráficas en Pandora representan los valores que un módulo ha tenido a lo largo de un período.

    +

    Debido a la gran cantidad de datos que Pandora FMS almacena, se ofrecen dos tipos diferentes de funcionalidad:

    + + +

    Gráficas Normales

    + +images/help/chart_normal_sample.png" alt="regular chart sample" /> + +

    Características generales

    +

    Son gráficas que representan la información almacenada por el módulo a un nivel básico.

    +

    Nos permite ver una aproximación de los valores en los que oscila nuestro módulo.

    +

    Dividen los datos del módulo en cajas de tal manera que se representa una muestra de los valores del módulo, no se pintan todos los valores. Esta carencia se complementa dividiendo la vista en tres gráficas, Max (valores máximos), min (valores mínimos) y avg (valores promedios)

    + +
      +
    • Ventajas: Se generan muy rápidamente sin consumir apenas recursos.
      • +
    • Inconvenientes: La información que proveen es aproximada. Los estados de los monitores que representan se calculan en base a eventos.
      • + + + +

      Opciones de visualización

      + +
      +
      Tiempo de refresco
      +
      Tiempo en que se pintará la gráfica de nuevo.
      + +
      Avg. Only
      +
      Solo se pintará la gráfica de promedios.
      + +
      Fecha de inicio
      +
      Fecha hasta la que se pintará la gráfica.
      + +
      Tiempo de inicio
      +
      Hora minutos y segundos hasta los que se pintará la gráfica.
      + +
      Factor de zoom
      +
      Tamaño del visor de la gráfica, multiplicativo.
      + +
      Rango de tiempo
      +
      Establece el período de tiempo desde el que se recogerán los datos.
      + +
      Mostrar eventos
      +
      Muestra puntos indicadores con la información de eventos en la parte superior.
      + +
      Mostrar alertas
      +
      Muestra puntos indicadores con la información de alertas disparadas en la parte superior.
      + +
      Mostrar percentil
      +
      Agrega una gráfica que indica la línea del percentil (configurable en opciones visuales generales de Pandora).
      + +
      Comparación de tiempo (superpuesto)
      +
      Muestra superpuesta la misma gráfica, pero en el período anterior al seleccionado. Por ejemplo, si solicitamos un período de una semana y activamos esta opción, la semana anterior a la elegida también se mostrará superpuesta.
      + +
      Comparación de tiempo (independiente)
      +
      Muestra la misma gráfica, pero en el período anterior al seleccionado, en un area independiente. Por ejemplo, si solicitamos un período de una semana y activamos esta opción, la semana anterior a la elegida también se mostrará.
      + +
      Mostrar gráfica de desconocidos
      +
      Muestra cajas en sombreado gris cubriendo los períodos en que Pandora FMS no puede garantizar el estado del módulo, ya sea por pérdida de datos, desconexión de un agente software, etc.
      + +
      Mostrar gráfica de escala completa (TIP)
      +
      Cambia el modo de pintado de "normal" a "TIP". En este modo, las gráficas mostrarán datos reales en vez de aproximaciones, por lo que el tiempo que emplearán para su generación será mayor. Podrá encontrar información más detallada de este tipo de gráficas en el siguiente apartado.
      + +
      + + + + +
      +
      + + +

      Gráficas TIP

      +images/help/chart_tip_sample.png" alt="TIP chart sample" /> + +

      Características generales

      +

      Son gráficas que representan datos reales.

      +

      Nos muestra una representación veraz de los datos reportados por nuestro módulo.

      +

      Al ser datos reales no será necesario complementar la información con gráficas extra (avg,min,max).

      +

      El cálculo de períodos en estado desconocido se apoya en eventos, tal y como funcionan las gráficas normales, pero se complementa con una detección extra en caso de haberlos.

      +

      Ejemplos de resolución ofrecidas por metodos normal y TIP:

      + +
      Ejemplo de gráfica normal en intervalo desconocido
      +images/help/chart_normal_detail.png" alt="TIP chart detail" /> + +
      Ejemplo de gráfica TIP en intervalo desconocido
      +images/help/chart_tip_detail.png" alt="TIP chart detail" /> + +
      + +
        +
      • Ventajas: Los datos representados son datos reales. Es la forma más realista de revisar los datos de un módulo.
        • +
      • Inconvenientes: Su procesado es más lento que en las gráficas normales. Dependiendo del rango de tiempo y el volumen de datos a mostrar es posible que su visualización sea menos fluída.
        • +
      + + + diff --git a/pandora_console/include/help/ja/help_graphs.php b/pandora_console/include/help/ja/help_graphs.php new file mode 100644 index 0000000000..0fc35349a9 --- /dev/null +++ b/pandora_console/include/help/ja/help_graphs.php @@ -0,0 +1,148 @@ + + + + + + +

      INTERPRETING GHRAPHS IN PANDORA FMS

      + + +

      In Pandora FMS, graphs represent the values a module has had during a given period.

      +

      Due to the large amount of data that Pandora FMS stores, two different types of functionality are offered

      + + +

      NORMAL GRAPHS

      + +images/help/chart_normal_sample.png" alt="regular chart sample" /> + +

      General characteristics

      +

      These are graphs that represent the information stored by the module at a basic level.

      +

      They allow us to see an approximation of the values in which our module oscillates.

      +

      The module data are divided into boxes in such a way that a sample of the module values is represented, not all values are shown. This is complemented by dividing the view into three graphs, Max (maximum values), min (minimum values) and avg (average values)

      + +
        +
      • Advantages: They are generated very quickly without consuming hardly any resources.
        • +
      • Disadvantages: The information provided is approximate. The status of the monitors they represent are calculated on an event-driven basis.
        • + + + +

        Display options

        + +
        +
        Refresh time
        +
        Time the graph will take to be created again.
        + +
        Avg. Only
        +
        Only the averages graph will be created.
        + +
        Starting date
        +
        Date until which the graphic will be created.
        + +
        Startup time
        +
        Hour minutes and seconds until the graphic is created.
        + +
        Zoom factor
        +
        Graph viewfinder size, multiplicative.
        + +
        Time Range
        +
        Sets the time period from which data will be collected.
        + +
        Show events
        +
        Displays indicator points with event information at the top.
        + +
        Show alerts
        +
        Shows indicator points with triggered alert information at the top.
        + +
        Show percentile
        +
        Adds a graph that indicates the percentile line (configurable in general visual options of Pandora).
        + +
        Time comparison (superimposed)
        +
        Displays the same graphic overlay, but in the period before the selected one. For example, if we request a period of one week and activate this option, the week before the chosen one will also be shown superimposed.
        + +
        Time comparison (independent)
        +
        Displays the same graph, but in the period before the selected one, in a separate area. For example, if we request a period of one week and activate this option, the week before the chosen one will also be shown.
        + +
        Display unknown graphic
        +
        It shows boxes in grey shading covering the periods in which Pandora FMS cannot guarantee the module's status, either due to data loss, disconnection of a software agent, etc.
        + +
        Show Full Scale Graph (TIP)
        +
        Switches the creation mode from "normal" to "TIP". In this mode, the graphs will show real data rather than approximations, so the time it will take to generate them will be longer. More detailed information on this type of graphs can be found in the following section.
        + +
        + + + + +
        +
        + + +

        TIP GRAPS

        +images/help/chart_tip_sample.png" alt="TIP chart sample" /> + +

        General characteristics

        +

        These are graphs that represent real data.

        +

        They show us a true representation of the data reported by our module.

        +

        As these are real data, it will not be necessary to supplement the information with extra graphs (avg, min, max).

        +

        The calculation of periods in unknown state is supported by events, such as normal graphs, but is complemented by extra detection if there is any.

        +

        Examples of resolution offered by normal and TIP methods:

        + +
        Example of normal graph in unknown interval
        +images/help/chart_normal_detail.png" alt="TIP chart detail" /> + +
        Example of TIP graph in unknown interval
        +images/help/chart_tip_detail.png" alt="TIP chart detail" /> + +
        + +
          +
        • Advantages: The data represented are real data. This is the most realistic way to review module data.
          • +
        • Disadvantages: Processing is slower than in normal graphs. Depending on the time range and the volume of data to be displayed, your display may be less fluid.
          • +
        + + + diff --git a/pandora_console/operation/agentes/stat_win.php b/pandora_console/operation/agentes/stat_win.php index f0fdf37082..dd647e185a 100644 --- a/pandora_console/operation/agentes/stat_win.php +++ b/pandora_console/operation/agentes/stat_win.php @@ -106,7 +106,7 @@ $alias = db_get_value ("alias","tagente","id_agente",$id_agent); " . html_print_image('images/wrench_blanco.png', true, array('width' => '16px'), false, false, true) . ' ' . __('Pandora FMS Graph configuration menu') . ""; + $params['top_text'] = "
        " . html_print_image('images/wrench_blanco.png', true, array('width' => '16px'), false, false, true) . ' ' . __('Pandora FMS Graph configuration menu') . ui_print_help_icon ("graphs",true, $config["homeurl"], "images/help_w.png") . "
        "; $params['body_text'] = "
        "; $params['body_text'] .=__('Please, make your changes and apply with the Reload button');