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# <@LICENSE> # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to you under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at: # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # </@LICENSE> =head1 NAME Mail::SpamAssassin::Bayes - support for learning classifiers =head1 DESCRIPTION This is the general class used to train a learning classifier with new samples of spam and ham mail, and classify based on prior training. Prior to version 3.3.0, the default Bayes implementation was here; if you're looking for information on that, it has moved to C<Mail::SpamAssassin::Plugin::Bayes>. =cut package Mail::SpamAssassin::Bayes; use strict; use warnings; # use bytes; use re 'taint'; use Mail::SpamAssassin; use Mail::SpamAssassin::PerMsgStatus; use Mail::SpamAssassin::Logger; use Mail::SpamAssassin::Util qw(untaint_var); our @ISA = qw(); ########################################################################### sub new { my $class = shift; $class = ref($class) || $class; my ($main) = @_; my $self = { 'main' => $main, 'conf' => $main->{conf}, 'use_ignores' => 1, }; bless ($self, $class); $self->{main}->call_plugins("learner_new"); $self; } ########################################################################### sub finish { my $self = shift; # we don't need to do the plugin; Mail::SpamAssassin::finish() does # that for us %{$self} = (); } ########################################################################### # force the Bayes dbs to be closed, if they haven't already been; called # at the end of scan operation, or when switching between user IDs, # or when C<Mail::SpamAssassin::finish_learner()> is called. # sub force_close { my $self = shift; my $quiet = shift; $self->{main}->call_plugins("learner_close", { quiet => $quiet }); } ########################################################################### sub ignore_message { my ($self,$PMS) = @_; return 0 unless $self->{use_ignores}; my $ig_from = $self->{main}->call_plugins ("check_wb_list", { permsgstatus => $PMS, type => 'from', list => 'bayes_ignore_from' }); my $ig_to = $self->{main}->call_plugins ("check_wb_list", { permsgstatus => $PMS, type => 'to', list => 'bayes_ignore_to' }); my $ignore = $ig_from || $ig_to; dbg("bayes: not using bayes, bayes_ignore_from or _to rule") if $ignore; return $ignore; } ########################################################################### sub learn { my ($self, $isspam, $msg, $id) = @_; return unless $self->{conf}->{use_learner}; return unless defined $msg; if( $self->{use_ignores} ) # Remove test when PerMsgStatus available. { # DMK, koppel@ece.lsu.edu: Hoping that the ultimate fix to bug 2263 will # make it unnecessary to construct a PerMsgStatus here. my $PMS = Mail::SpamAssassin::PerMsgStatus->new($self->{main}, $msg); my $ignore = $self->ignore_message($PMS); $PMS->finish(); return 0 if $ignore; } return $self->{main}->call_plugins("learn_message", { isspam => $isspam, msg => $msg, id => $id }); } ########################################################################### sub forget { my ($self, $msg, $id) = @_; return unless $self->{conf}->{use_learner}; return unless defined $msg; return $self->{main}->call_plugins("forget_message", { msg => $msg, id => $id }); } ########################################################################### sub sync { my ($self, $sync, $expire, $opts) = @_; return 0 unless $self->{conf}->{use_learner}; if ($sync) { $self->{main}->call_plugins("learner_sync", $opts ); } if ($expire) { $self->{main}->call_plugins("learner_expire_old_training", $opts ); } return 0; } ########################################################################### sub is_scan_available { my $self = shift; return 0 unless $self->{conf}->{use_learner}; return $self->{main}->call_plugins("learner_is_scan_available"); } ########################################################################### sub dump_bayes_db { my($self, $magic, $toks, $regex) = @_; return 0 unless $self->{conf}->{use_learner}; return $self->{main}->call_plugins("learner_dump_database", { magic => $magic, toks => $toks, regex => $regex }); } 1;