352 lines
12 KiB
Perl
352 lines
12 KiB
Perl
package PandoraFMS::PredictionServer;
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########################################################################
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# Pandora FMS Prediction Server.
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# Pandora FMS. the Flexible Monitoring System. http://www.pandorafms.org
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########################################################################
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# Copyright (c) 2005-2009 Artica Soluciones Tecnologicas S.L
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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 Lesser General Public License
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# as published by the Free Software Foundation; version 2
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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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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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##########################################################################
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use strict;
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use warnings;
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use threads;
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use threads::shared;
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use Thread::Semaphore;
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use IO::Socket::INET;
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use Net::Ping;
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use POSIX qw(strftime);
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# Default lib dir for RPM and DEB packages
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use lib '/usr/lib/perl5';
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use PandoraFMS::Tools;
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use PandoraFMS::DB;
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use PandoraFMS::Core;
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use PandoraFMS::ProducerConsumerServer;
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#For debug
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#use Data::Dumper;
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# Inherits from PandoraFMS::ProducerConsumerServer
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our @ISA = qw(PandoraFMS::ProducerConsumerServer);
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# Global variables
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my @TaskQueue :shared;
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my %PendingTasks :shared;
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my $Sem :shared;
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my $TaskSem :shared;
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########################################################################
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# Prediction Server class constructor.
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########################################################################
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sub new ($$;$) {
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my ($class, $config, $dbh) = @_;
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return undef unless $config->{'predictionserver'} == 1;
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# Initialize semaphores and queues
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@TaskQueue = ();
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%PendingTasks = ();
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$Sem = Thread::Semaphore->new;
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$TaskSem = Thread::Semaphore->new (0);
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# Call the constructor of the parent class
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my $self = $class->SUPER::new($config, PREDICTIONSERVER, \&PandoraFMS::PredictionServer::data_producer, \&PandoraFMS::PredictionServer::data_consumer, $dbh);
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bless $self, $class;
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return $self;
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}
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########################################################################
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# Run.
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########################################################################
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sub run ($) {
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my $self = shift;
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my $pa_config = $self->getConfig ();
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print_message ($pa_config, " [*] Starting " . $pa_config->{'rb_product_name'} . " Prediction Server.", 1);
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$self->setNumThreads ($pa_config->{'prediction_threads'});
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$self->SUPER::run (\@TaskQueue, \%PendingTasks, $Sem, $TaskSem);
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}
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########################################################################
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# Data producer.
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########################################################################
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sub data_producer ($) {
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my $self = shift;
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my ($pa_config, $dbh) = ($self->getConfig (), $self->getDBH ());
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my @tasks;
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my @rows;
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if (pandora_is_master($pa_config) == 0) {
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@rows = get_db_rows ($dbh, 'SELECT tagente_modulo.id_agente_modulo,
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tagente_modulo.flag, last_execution_try
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FROM tagente, tagente_modulo, tagente_estado
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WHERE server_name = ?
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AND tagente_modulo.id_agente = tagente.id_agente
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AND tagente.disabled = 0
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AND tagente_modulo.prediction_module != 0
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AND tagente_modulo.disabled = 0
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AND tagente_estado.id_agente_modulo = tagente_modulo.id_agente_modulo
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AND tagente_modulo.id_modulo = 5
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AND (tagente_modulo.flag = 1
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OR (tagente_estado.last_execution_try + tagente_estado.current_interval) < UNIX_TIMESTAMP())
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ORDER BY last_execution_try ASC ', (is_metaconsole($pa_config) ? '' : safe_input($pa_config->{'servername'})));
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}
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else {
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@rows = get_db_rows ($dbh, 'SELECT DISTINCT(tagente_modulo.id_agente_modulo),
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tagente_modulo.flag, last_execution_try
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FROM tagente, tagente_modulo, tagente_estado
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WHERE ((server_name = ?)
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OR (server_name = ANY(SELECT name
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FROM tserver
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WHERE status = 0 AND server_type = ?)))
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AND tagente_modulo.id_agente = tagente.id_agente
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AND tagente.disabled = 0
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AND tagente_modulo.disabled = 0
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AND tagente_modulo.prediction_module != 0
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AND tagente_estado.id_agente_modulo = tagente_modulo.id_agente_modulo
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AND tagente_modulo.id_modulo = 5
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AND (tagente_modulo.flag = 1
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OR (tagente_estado.last_execution_try + tagente_estado.current_interval) < UNIX_TIMESTAMP())
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ORDER BY last_execution_try ASC', (is_metaconsole($pa_config) ? '' : safe_input($pa_config->{'servername'})), PREDICTIONSERVER);
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}
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foreach my $row (@rows) {
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# Reset forced execution flag
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if ($row->{'flag'} == 1) {
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db_do ($dbh, 'UPDATE tagente_modulo SET flag = 0 WHERE id_agente_modulo = ?', $row->{'id_agente_modulo'});
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}
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push (@tasks, $row->{'id_agente_modulo'});
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}
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return @tasks;
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}
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########################################################################
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# Data consumer.
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########################################################################
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sub data_consumer ($$) {
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my ($self, $task) = @_;
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exec_prediction_module ($self->getConfig (), $task, $self->getServerID (), $self->getDBH ());
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}
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########################################################################
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# Execute prediction module.
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########################################################################
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sub exec_prediction_module ($$$$) {
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my ($pa_config, $id_am, $server_id, $dbh) = @_;
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# Get a full hash for agent_module record reference ($agent_module)
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my $agent_module = get_db_single_row ($dbh, 'SELECT *
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FROM tagente_modulo
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WHERE id_agente_modulo = ?', $id_am);
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return unless defined $agent_module;
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# Service modules
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if ($agent_module->{'prediction_module'} == 2) {
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if ($agent_module->{'custom_string_1'} eq 'SLA') {
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logger ($pa_config, "Executing service module SLA " .
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$agent_module->{'id_agente_modulo'} . " " .
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$agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_service_module_sla', [$pa_config, $agent_module, $server_id, $dbh]);
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}
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elsif ($agent_module->{'custom_string_1'} eq 'SLA_Value') {
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#Do none
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}
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else {
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logger ($pa_config, "Executing service module " .
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$agent_module->{'id_agente_modulo'} . " " .
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$agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_service_module', [$pa_config, $agent_module, undef, $server_id, $dbh]);
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}
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return;
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}
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# Synthetic modules
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if ($agent_module->{'prediction_module'} == 3) {
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logger ($pa_config, "Executing synthetic module " . $agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_synthetic_module', [$pa_config, $agent_module, $server_id, $dbh]);
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return;
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}
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# Netflow modules
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if ($agent_module->{'prediction_module'} == 4) {
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logger ($pa_config, "Executing netflow module " . $agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_netflow_module', [$pa_config, $agent_module, $server_id, $dbh]);
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return;
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}
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# Cluster status module.
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if ($agent_module->{'prediction_module'} == 5) {
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logger ($pa_config, "Executing cluster status module " . $agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_cluster_status_module', [$pa_config, $agent_module, $server_id, $dbh]);
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return;
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}
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# Cluster active-active module.
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if ($agent_module->{'prediction_module'} == 6) {
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logger ($pa_config, "Executing cluster active-active module " . $agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_cluster_aa_module', [$pa_config, $agent_module, $server_id, $dbh]);
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return;
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}
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# Cluster active-passive module.
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if ($agent_module->{'prediction_module'} == 7) {
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logger ($pa_config, "Executing cluster active-passive module " . $agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_cluster_ap_module', [$pa_config, $agent_module, $server_id, $dbh]);
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return;
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}
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# Get a full hash for target agent_module record reference ($target_module)
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my $target_module = get_db_single_row ($dbh, 'SELECT * FROM tagente_modulo WHERE id_agente_modulo = ?', $agent_module->{'custom_integer_1'});
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return unless defined $target_module;
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# Prediction mode explanation
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#
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# 0 is for target type of generic_proc. It compares latest data with current data. Needs to get
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# data on a "middle" interval, so if interval is 300, get data to compare with 150 before
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# and 150 in the future. If current data is ABOVE or BELOW average +- typical_deviation
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# this is a BAD value (0), if not is ok (1) and written in target module as is.
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# more interval configured for this module, more "margin" has to compare data.
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#
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# 1 is for target type of generic_data. It get's data in the future, using the interval given in
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# module. It gets average from current timestamp to INTERVAL in the future and gets average
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# value. Typical deviation is not used here.
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# 0 proc, 1 data
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my $prediction_mode = ($agent_module->{'id_tipo_modulo'} == 2) ? 0 : 1;
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# Initialize another global sub variables.
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my $module_data = 0; # 0 data for default
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# Get current timestamp
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my $utimestamp = time ();
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my $timestamp = strftime ("%Y-%m-%d %H:%M:%S", localtime($utimestamp));
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# Get different data from each week one month ago (4 values)
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# $agent_module->{'module_interval'} uses a margin of interval to get average data from the past
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my @week_data;
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my @week_utimestamp;
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for (my $i=0; $i<4; $i++) {
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$week_utimestamp[$i] = $utimestamp - (84600*7*($i+1));
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# Adjust for proc prediction
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if ($prediction_mode == 0) {
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$week_utimestamp[$i] = $week_utimestamp[$i] - ($agent_module->{'module_interval'} / 2);
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}
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}
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# Let's calculate statistical average using past data
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# n = total of real data values
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my ($n, $average, $temp1) = (0, 0, 0);
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for (my $i=0; $i < 4; $i++) {
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my ($first_data, $last_data, $average_interval);
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my $sum_data = 0;
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$temp1 = $week_utimestamp[$i] + $agent_module->{'module_interval'};
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# Get data for week $i in the past
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$average_interval = get_db_value ($dbh, 'SELECT AVG(datos)
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FROM tagente_datos
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WHERE id_agente_modulo = ?
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AND utimestamp > ?
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AND utimestamp < ?', $target_module->{'id_agente_modulo'}, $week_utimestamp[$i], $temp1);
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# Need to get data outside interval because no data.
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if (!(defined($average_interval)) || ($average_interval == 0)) {
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$last_data = get_db_value ($dbh, 'SELECT datos
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FROM tagente_datos
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WHERE id_agente_modulo = ?
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AND utimestamp > ?
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LIMIT 1', $target_module->{'id_agente_modulo'}, $week_utimestamp[$i]);
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next unless defined ($last_data);
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$first_data = get_db_value ($dbh, 'SELECT datos
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FROM tagente_datos
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WHERE id_agente_modulo = ?
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AND utimestamp < ?
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LIMIT 1', $target_module->{'id_agente_modulo'}, $temp1);
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next unless defined ($first_data);
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$sum_data++ if ($last_data != 0);
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$sum_data++ if ($first_data != 0);
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$week_data[$i] = ($sum_data > 0) ? (($last_data + $first_data) / $sum_data) : 0;
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}
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else {
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$week_data[$i] = $average_interval;
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}
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# It's possible that one of the week_data[i] values was not valid (NULL)
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# so recheck it and relay on n=0 for "no data" values set to 0 in result
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# Calculate total ammount of valida data for each data sample
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if ((is_numeric($week_data[$i])) && ($week_data[$i] > 0)) {
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$n++;
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# Average SUM
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$average = $average + $week_data[$i];
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}
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}
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# Real average value
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$average = ($n > 0) ? ($average / $n) : 0;
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# (PROC) Compare with current data
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if ($prediction_mode == 0) {
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# Calculate typical deviation
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my $typical_deviation = 0;
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for (my $i=0; $i< $n; $i++) {
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if ((is_numeric($week_data[$i])) && ($week_data[$i] > 0)) {
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$typical_deviation = $typical_deviation + (($week_data[$i] - $average)**2);
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}
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}
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$typical_deviation = ($n > 1) ? sqrt ($typical_deviation / ($n-1)) : 0;
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my $current_value = get_db_value ($dbh, 'SELECT datos
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FROM tagente_estado
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WHERE id_agente_modulo = ?', $target_module->{'id_agente_modulo'});
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if ( ($current_value > ($average - $typical_deviation)) && ($current_value < ($average + $typical_deviation)) ){
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$module_data = 1; # OK !!
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}
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else {
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$module_data = 0; # Out of predictions
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}
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}
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else {
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# Prediction based on data
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$module_data = $average;
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}
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my %data = ("data" => $module_data);
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pandora_process_module ($pa_config, \%data, '', $agent_module, '', $timestamp, $utimestamp, $server_id, $dbh);
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my $agent_os_version = get_db_value ($dbh, 'SELECT os_version
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FROM tagente
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WHERE id_agente = ?', $agent_module->{'id_agente'});
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if ($agent_os_version eq ''){
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$agent_os_version = $pa_config->{'servername'}.'_Prediction';
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}
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pandora_update_agent ($pa_config, $timestamp, $agent_module->{'id_agente'}, undef, undef, -1, $dbh);
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}
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1;
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__END__
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