372 lines
12 KiB
Perl
372 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) 2005-2021 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(floor 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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use PandoraFMS::Statistics::Regression;
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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 ', safe_input($pa_config->{'servername'}));
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}
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else {
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# If is metaconsole server, will evaluate orphan modules also.
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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 <> 1 AND server_type = ?))
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OR ((server_name = 0 OR server_name IS NULL) AND 1=?)
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)
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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',
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safe_input($pa_config->{'servername'}),
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PREDICTIONSERVER,
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is_metaconsole($pa_config)
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);
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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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# Trend module.
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if ($agent_module->{'prediction_module'} == 8) {
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logger ($pa_config, "Executing trend module " . $agent_module->{'nombre'}, 10);
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enterprise_hook ('exec_trend_module', [$pa_config, $agent_module, $server_id, $dbh]);
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return;
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}
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# Capacity planning module.
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exec_capacity_planning_module($pa_config, $agent_module, $server_id, $dbh);
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}
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########################################################################
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# Execute a capacity planning module.
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########################################################################
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sub exec_capacity_planning_module($$$$) {
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my ($pa_config, $module, $server_id, $dbh) = @_;
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my $pred;
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# Retrieve the target module.
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my $target_module = get_db_single_row($dbh, 'SELECT * FROM tagente_modulo WHERE id_agente_modulo = ?', $module->{'custom_integer_1'});
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if (!defined($target_module)) {
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pandora_update_module_on_error ($pa_config, $module, $dbh);
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return;
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}
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# Set the period.
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my $period;
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# Weekly.
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if ($module->{'custom_integer_2'} == 0) {
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$period = 604800;
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}
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# Monthly.
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elsif ($module->{'custom_integer_2'} == 1) {
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$period = 2678400;
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}
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# Daily.
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else {
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$period = 86400;
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}
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# Set other parameters.
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my $now = time();
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my $from = $now - $period;
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my $type = $module->{'custom_string_2'};
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my $target_value = $module->{'custom_string_1'};
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# Fit a line of the form: y = theta_0 + x * theta_1
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my ($theta_0, $theta_1);
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eval {
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($theta_0, $theta_1) = linear_regression($target_module, $from, $now, $dbh);
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};
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if (!defined($theta_0) || !defined($theta_1)) {
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pandora_update_module_on_error ($pa_config, $module, $dbh);
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return;
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}
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# Predict the value.
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if ($type eq 'estimation_absolute') {
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# y = theta_0 + x * theta_1
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$pred = $theta_0 + ($now + $target_value) * $theta_1;
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# Clip predictions.
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if ($target_module->{'max'} != $target_module->{'min'}) {
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if ($pred < $target_module->{'min'}) {
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$pred = $target_module->{'min'};
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}
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elsif ($pred > $target_module->{'max'}) {
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$pred = $target_module->{'max'};
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}
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}
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}
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# Predict the date.
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else {
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# Infinity.
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if ($theta_1 == 0) {
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$pred = -1;
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} else {
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# x = (y - theta_0) / theta_1
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$pred = ($target_value - $theta_0) / $theta_1;
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# Convert the prediction from a unix timestamp to days from now.
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$pred = ($pred - $now) / 86400;
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# We are not interested in past dates.
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if ($pred < 0) {
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$pred = -1;
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}
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}
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}
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# Update the module.
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my %data = ("data" => $pred);
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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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pandora_process_module ($pa_config, \%data, '', $module, '', $timestamp, $utimestamp, $server_id, $dbh);
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# Update the agent.
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my $agent_os_version = get_db_value ($dbh, 'SELECT os_version FROM tagente WHERE id_agente = ?', $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, $module->{'id_agente'}, undef, undef, -1, $dbh);
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}
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########################################################################
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# Perform linear regression on the given module.
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########################################################################
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sub linear_regression($$$$) {
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my ($module, $from, $to, $dbh) = @_;
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# Should not happen.
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return if ($module->{'module_interval'} < 1);
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# Retrieve the data.
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my @rows = get_db_rows($dbh, 'SELECT datos, utimestamp FROM tagente_datos WHERE id_agente_modulo = ? AND utimestamp > ? AND utimestamp < ? ORDER BY utimestamp ASC', $module->{'id_agente_modulo'}, $from, $to);
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return if scalar(@rows) <= 0;
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# Perform linear regression on the data.
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my $reg = PandoraFMS::Statistics::Regression->new( "linear regression", ["const", "x"] );
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my $prev_utimestamp = $from;
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foreach my $row (@rows) {
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my ($utimestamp, $data) = ($row->{'utimestamp'}, $row->{'datos'});
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# Elapsed time.
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my $elapsed = $utimestamp - $prev_utimestamp;
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$elapsed = 1 unless $elapsed > 0;
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$prev_utimestamp = $utimestamp;
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# Number of points (Pandora compresses data!)
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my $local_count = floor($elapsed / $module->{'module_interval'});
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$local_count = 1 if $local_count <= 0;
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# Add the points.
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for (my $i = 0; $i < $local_count; $i++) {
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$reg->include($data, [1.0, $utimestamp]);
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}
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}
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return $reg->theta();
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}
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1;
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__END__
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