#!/usr/bin/env perl use 5.010; use Data::Dumper; use Getopt::Long; use Pod::Usage; use Time::Local; use IO::Handle; use warnings; use strict; my @symbols_search; my @symbols_exclude; my @symbols_bidirectional; my @symbols_groups; my @symbols_ignored; my %symbols_mult; my %groups; my $reject_score = 15.0; my $junk_score = 6.0; my $diff_alpha = 0.1; my $correlations = 0; my $nrelated = 10; my $log_file = ""; my $search_pattern = ""; my $startTime = ""; my $endTime; my $num_logs; my $exclude_logs = 0; my $man = 0; my $json = 0; my $help = 0; # Associate file extensions with decompressors my %decompressor = ( 'bz2' => 'bzip2 -cd', 'gz' => 'gzip -cd', 'xz' => 'xz -cd', 'zst' => 'zstd -cd', ); GetOptions( "reject-score|r=f" => \$reject_score, "junk-score|j=f" => \$junk_score, "symbol|s=s@" => \@symbols_search, "symbol-bidir|S=s@" => \@symbols_bidirectional, "exclude|X=s@" => \@symbols_exclude, "ignore=s@" => \@symbols_ignored, "group|g=s@" => \@symbols_groups, "log|l=s" => \$log_file, "mult=s" => \%symbols_mult, "alpha-score|alpha|a=f" => \$diff_alpha, "correlations|c" => \$correlations, "nrelated=i" => \$nrelated, "search-pattern=s" => \$search_pattern, "start=s" => \$startTime, "end=s" => \$endTime, "num-logs|n=i" => \$num_logs, "exclude-logs|x=i" => \$exclude_logs, "json|j" => \$json, "help|?" => \$help, "man" => \$man ) or pod2usage(2); pod2usage(1) if $help; pod2usage( -exitval => 0, -verbose => 2 ) if $man; # Global vars my $total = 0; my $total_spam = 0; my $total_junk = 0; my $junk_symbols = 0; my $spam_symbols = 0; my $ham_symbols = 0; my $ham_spam_change = 0; my $ham_junk_change = 0; my %sym_res; my $rspamd_log; my $enabled = 0; my $log_file_num = 1; my $spinner_update_time = 0; my %action; my %timeStamp; my %scanTime = ( max => 0, total => 0, ); my %bidir_match; foreach ( $startTime, $endTime ) { $_ = &normalized_time($_) } # Convert bidirectional symbols foreach my $s (@symbols_bidirectional) { $bidir_match{$s} = { spam => "${s}_SPAM", ham => "${s}_HAM", }; push @symbols_search, $s unless grep /^$s$/, @symbols_search; } # Deal with groups my $group_id = 0; foreach my $g (@symbols_groups) { my @symbols = split /,/, $g; my $group_name = "group$group_id"; foreach my $s (@symbols) { $groups{$s} = $group_name; push @symbols_search, $s unless grep /^$s$/, @symbols_search; } } @symbols_search = '.*' unless @symbols_search; if ( $log_file eq '-' || $log_file eq '' ) { $rspamd_log = \*STDIN; &ProcessLog(); } elsif ( -d "$log_file" ) { my $log_dir = "$log_file"; my @logs = &GetLogfilesList($log_dir); # Process logs foreach (@logs) { my $ext = (/[^.]+\.?([^.]*?)$/)[0]; my $dc = $decompressor{$ext} || 'cat'; open( $rspamd_log, "-|", "$dc $log_dir/$_" ) or die "cannot execute $dc $log_dir/$_ : $!"; printf { interactive(*STDERR) } "\033[J Parsing log files: [%d/%d] %s\033[G", $log_file_num++, scalar @logs, $_; $spinner_update_time = 0; # Force spinner update &spinner; &ProcessLog; close($rspamd_log) or warn "cannot close $dc $log_dir/$_: $!"; } print { interactive(*STDERR) } "\033[J\033[G"; # Progress indicator clean-up } else { my $ext = ( $log_file =~ /[^.]+\.?([^.]*?)$/ )[0]; my $dc = $decompressor{$ext} || 'cat'; open( $rspamd_log, "-|", "$dc $log_file" ) or die "cannot execute $dc $log_file : $!"; $spinner_update_time = 0; # Force spinner update &spinner; &ProcessLog(); } my $total_ham = $total - ( $total_spam + $total_junk ); if ($json) { print "{"; &Summary(); print '"symbols":{'; &SymbolsStat(); print "}}\n"; } else { &SymbolsStat(); &Summary(); } exit; sub IsIgnored { my ($sym) = @_; foreach my $ex (@symbols_ignored) { if ( $sym =~ /^$ex$/ ) { return 1; } } return 0; } sub GenRelated { my ( $htb, $target_sym ) = @_; my @result; my $i = 0; foreach my $sym ( sort { $htb->{$b} <=> $htb->{$a} } keys %{$htb} ) { if ( $sym ne $target_sym ) { my @elt = ( $sym, $htb->{$sym} ); push @result, \@elt; $i++; } last if $i > $nrelated; } return \@result; } sub StringifyRelated { my ( $ar, $total ) = @_; return join( "\n", ( map { sprintf "\t%s(%s: %.1f%%)", $_->[0], $_->[1], $_->[1] / ( $total * 1.0 ) * 100.0 } @{$ar} ) ); } sub SymbolsStat { if ( $total > 0 ) { my $has_comma = 0; while ( my ( $s, $r ) = each(%sym_res) ) { if ( $r->{hits} > 0 ) { my $th = $r->{hits}; my $sh = $r->{spam_hits}; my $jh = $r->{junk_hits}; my $hh = $r->{hits} - $sh - $jh; my ( $htp, $stp, $jtp ); $htp = $hh * 100.0 / $total_ham if $total_ham != 0; $stp = $sh * 100.0 / $total_spam if $total_spam != 0; $jtp = $jh * 100.0 / $total_junk if $total_junk != 0; if ($json) { if ($has_comma) { print ","; } else { $has_comma = 1; } print "\"$s\":{"; JsonObjectElt( "avg_weight", $r->{'weight'}, "%.4f" ); print ","; JsonObjectElt( "hits", $th, "%d" ); print ","; JsonObjectElt( "hits_percentage", $th / $total, "%.4f" ); print ","; JsonObjectElt( "spam_hits", $sh, "%d" ); print ","; JsonObjectElt( "spam_to_total", $sh / $th, "%.4f" ); print ","; JsonObjectElt( "spam_percentage", $stp / 100.0 || 0, "%.4f" ); print ","; JsonObjectElt( "ham_hits", $hh, "%d" ); print ","; JsonObjectElt( "ham_to_total", $hh / $th, "%.4f" ); print ","; JsonObjectElt( "ham_percentage", $htp / 100.0 || 0, "%.4f" ); print ","; JsonObjectElt( "junk_hits", $jh, "%d" ); print ","; JsonObjectElt( "junk_to_total", $jh / $th, "%.4f" ); print ","; JsonObjectElt( "junk_percentage", $jtp / 100.0 || 0, "%.4f" ); } else { printf "%s avg. weight %.3f, hits %d(%.3f%%): Ham %7.3f%%, %6d/%-6d (%7.3f%%) Spam %7.3f%%, %6d/%-6d (%7.3f%%) Junk %7.3f%%, %6d/%-6d (%7.3f%%) ", $s, $r->{weight} / $r->{hits}, $th, ( $th / $total * 100 ), ( $hh / $th * 100 ), $hh, $total_ham, ( $htp or 0 ), ( $sh / $th * 100 ), $sh, $total_spam, ( $stp or 0 ), ( $jh / $th * 100 ), $jh, $total_junk, ( $jtp or 0 ); } my ( $schp, $jchp ); $schp = $r->{spam_change} / $total_spam * 100.0 if $total_spam; $jchp = $r->{junk_change} / $total_junk * 100.0 if $total_junk; if ( $r->{weight} != 0 ) { if ( !$json ) { if ( $r->{weight} > 0 ) { printf " Spam changes (ham/junk -> spam): %6d/%-6d (%7.3f%%) Spam changes / total spam hits: %6d/%-6d (%7.3f%%) Junk changes (ham -> junk): %6d/%-6d (%7.3f%%) Junk changes / total junk hits: %6d/%-6d (%7.3f%%) ", $r->{spam_change}, $th, ( $r->{spam_change} / $th * 100 ), $r->{spam_change}, $total_spam, ( $schp or 0 ), $r->{junk_change}, $th, ( $r->{junk_change} / $th * 100 ), $r->{junk_change}, $total_junk, ( $jchp or 0 ); } else { printf " Spam changes (spam -> junk/ham): %6d/%-6d (%7.3f%%) Spam changes / total spam hits : %6d/%-6d (%7.3f%%) Junk changes (junk -> ham) : %6d/%-6d (%7.3f%%) Junk changes / total junk hits : %6d/%-6d (%7.3f%%) ", $r->{spam_change}, $th, ( $r->{spam_change} / $th * 100 ), $r->{spam_change}, $total_spam, ( $schp or 0 ), $r->{junk_change}, $th, ( $r->{junk_change} / $th * 100 ), $r->{junk_change}, $total_junk, ( $jchp or 0 ); } } else { print ","; JsonObjectElt( "spam_change", $r->{spam_change}, "%.4f" ); print ","; JsonObjectElt( "junk_change", $r->{junk_change}, "%.4f" ); } } if ($correlations) { my $spam_related = GenRelated( $r->{symbols_met_spam}, $s ); my $junk_related = GenRelated( $r->{symbols_met_junk}, $s ); my $ham_related = GenRelated( $r->{symbols_met_ham}, $s ); if ( !$json ) { print "Correlations report:\n"; while ( my ( $cs, $hits ) = each %{ $r->{corr} } ) { my $corr_prob = $r->{'hits'} / $total; my $merged_hits = 0; if ( $r->{symbols_met_spam}->{$cs} ) { $merged_hits += $r->{symbols_met_spam}->{$cs}; } if ( $r->{symbols_met_junk}->{$cs} ) { $merged_hits += $r->{symbols_met_junk}->{$cs}; } if ( $r->{symbols_met_ham}->{$cs} ) { $merged_hits += $r->{symbols_met_ham}->{$cs}; } if ( $merged_hits > 0 ) { printf "Probability of %s when %s fires: %.3f\n", $cs, $s, ( ( $merged_hits / $total ) / $corr_prob ); } } print "Related symbols report:\n"; printf "Top related in spam:\n %s\n", StringifyRelated( $spam_related, $r->{spam_hits} ); printf "Top related in junk:\n %s\n", StringifyRelated( $junk_related, $r->{junk_hits} ); printf "Top related in ham:\n %s\n", StringifyRelated( $ham_related, $r->{hits} - $r->{spam_hits} - $r->{junk_hits} ); } else { print ","; print "\"correllations\":{"; my $has_comma_ = 0; while ( my ( $cs, $hits ) = each %{ $r->{corr} } ) { if ($has_comma_) { print ","; } else { $has_comma_ = 1; } my $corr_prob = $hits / $total; my $sym_prob = $r->{hits} / $total; JsonObjectElt( $cs, ( $corr_prob / $sym_prob ), "%.4f" ); } print "}"; } } print "}" if $json; } else { print "Symbol $s has not been met\n" if !$json; } print '-' x 80 . "\n" if !$json; } } } sub Summary() { if ( !$json ) { print " === Summary ", '=' x 68, " Messages scanned: $total"; printf " [ %s / %s ] ", $timeStamp{'start'}, $timeStamp{'end'} if defined $timeStamp{'start'}; say ''; printf "%11s: %6.2f%%, %d\n", $_, 100 * $action{$_} / $total, $action{$_} for sort keys %action; say ''; printf "scan time min/avg/max = %.2f/%.2f/%.2f s ", $scanTime{'min'} / 1000, ($total) ? $scanTime{'total'} / $total / 1000 : undef, $scanTime{'max'} / 1000 if exists $scanTime{'min'}; say '=' x 80; } else { JsonObjectElt( "total", $total, "%d" ); print ","; if ( defined $timeStamp{'start'} ) { JsonObjectElt( "start", $timeStamp{'start'} ); print ","; } if ( defined $timeStamp{'end'} ) { JsonObjectElt( "end", $timeStamp{'end'} ); print ","; } print "\"actions\":{"; my $has_comma = 0; foreach my $a ( sort keys %action ) { if ($has_comma) { print ","; } else { $has_comma = 1; } JsonObjectElt( $a, $action{$a}, "%d" ); } print "},"; } } sub ProcessRelated { my ( $symbols, $target, $source ) = @_; foreach my $s ( @{$symbols} ) { $s =~ /^([^\(]+)(\(([^\)]+)\))?/; my $sym_name = $1; my $sym_score = 0; if ( $groups{$sym_name} ) { $sym_name = $groups{$sym_name}; } next if ( $source eq $sym_name ); next if IsIgnored($sym_name); if ($2) { $sym_score = $3 * ($symbols_mult{$sym_name} or 1.0); if ( abs($sym_score) < $diff_alpha ) { next; } my $bm = $bidir_match{$sym_name}; if ($bm) { if ( $sym_score >= 0 ) { $sym_name = $bm->{'spam'}; } else { $sym_name = $bm->{'ham'}; } } } if ( exists( $target->{$sym_name} ) ) { $target->{$sym_name}++; } else { $target->{$sym_name} = 1; } } } sub ProcessLog { my ( $ts_format, @line ) = &log_time_format($rspamd_log); while () { last if eof $rspamd_log; $_ = (@line) ? shift @line : <$rspamd_log>; if ( !$enabled && ( $search_pattern eq "" || /$search_pattern/ ) ) { $enabled = 1; } next if !$enabled; if (/^.*rspamd_task_write_log.*$/) { &spinner; my $ts; if ( $ts_format eq 'syslog' ) { $ts = syslog2iso( join ' ', ( split /\s+/ )[ 0 .. 2 ] ); } elsif ( $ts_format eq 'syslog5424' ) { /^([0-9-]+)T([0-9:]+)/; $ts = "$1 $2"; } else { $ts = join ' ', ( split /\s+/ )[ 0 .. 1 ]; } next if ( $ts lt $startTime ); next if ( defined $endTime && $ts gt $endTime ); if ( $_ !~ /\(([^()]+)\): \[(NaN|-?\d+(?:\.\d+)?)\/(-?\d+(?:\.\d+)?)\]\s+\[([^\]]+)\].+? time: (\d+\.\d+)ms/ ) { #print "BAD: $_\n"; next; } my @symbols = split /(?:\{[^}]*\})?(?:$|,)/, $4; my $scan_time = $5; my $act = $1; my $score = $2 * 1.0; my $skip = 0; foreach my $ex (@symbols_exclude) { my @found = grep { /^$ex/ } @symbols; if ( scalar(@found) > 0 ) { $skip = 1; last; } } next if ( $skip != 0 ); if ( defined( $timeStamp{'end'} ) ) { $timeStamp{'end'} = $ts if ( $ts gt $timeStamp{'end'} ); } else { $timeStamp{'end'} = $ts; } if ( defined( $timeStamp{'start'} ) ) { $timeStamp{'start'} = $ts if ( $ts lt $timeStamp{'start'} ); } else { $timeStamp{'start'} = $ts; } $scanTime{'min'} = $scan_time if ( !exists $scanTime{'min'} || $scanTime{'min'} > $scan_time ); $scanTime{'max'} = $scan_time if ( $scanTime{'max'} < $scan_time ); $scanTime{'total'} += $scan_time; $action{$act}++; $total++; if ( $score >= $reject_score ) { $total_spam++; } elsif ( $score >= $junk_score ) { $total_junk++; } my @sym_names; foreach my $s (@symbols_search) { my @selected = grep /$s/, @symbols; if ( scalar(@selected) > 0 ) { foreach my $sym (@selected) { $sym =~ /^([^\(]+)(\(([^\)]+)\))?/; my $sym_name = $1; my $sym_score = 0; my $orig_name = $sym_name; if ($2) { $sym_score = $3 * ($symbols_mult{$sym_name} or 1.0); if ( abs($sym_score) < $diff_alpha ) { next; } my $bm = $bidir_match{$sym_name}; if ($bm) { if ( $sym_score >= 0 ) { $sym_name = $bm->{'spam'}; } else { $sym_name = $bm->{'ham'}; } } } next if $orig_name !~ /^$s/; if ( $groups{$s} ) { # Replace with group $sym_name = $groups{$s}; } push @sym_names, $sym_name; if ( !$sym_res{$sym_name} ) { $sym_res{$sym_name} = { hits => 0, spam_hits => 0, junk_hits => 0, spam_change => 0, junk_change => 0, weight => 0, corr => {}, symbols_met_spam => {}, symbols_met_ham => {}, symbols_met_junk => {}, }; } my $r = $sym_res{$sym_name}; $r->{hits}++; $r->{weight} += $sym_score; my $is_spam = 0; my $is_junk = 0; if ( $score >= $reject_score ) { $is_spam = 1; $r->{spam_hits}++; if ($correlations) { ProcessRelated( \@symbols, $r->{symbols_met_spam}, $sym_name ); } } elsif ( $score >= $junk_score ) { $is_junk = 1; $r->{junk_hits}++; if ($correlations) { ProcessRelated( \@symbols, $r->{symbols_met_junk}, $sym_name ); } } else { if ($correlations) { ProcessRelated( \@symbols, $r->{symbols_met_ham}, $sym_name ); } } if ( $sym_score != 0 ) { my $score_without = $score - $sym_score; if ( $sym_score > 0 ) { if ( $is_spam && $score_without < $reject_score ) { $r->{spam_change}++; } if ( $is_junk && $score_without < $junk_score ) { $r->{junk_change}++; } } else { if ( !$is_spam && $score_without >= $reject_score ) { $r->{spam_change}++; } if ( !$is_junk && $score_without >= $junk_score ) { $r->{junk_change}++; } } } } # End foreach symbols selected } } if ($correlations) { foreach my $sym (@sym_names) { next if IsIgnored($sym); my $r = $sym_res{$sym}; foreach my $corr_sym (@sym_names) { if ( $corr_sym ne $sym ) { if ( $r->{'corr'}->{$corr_sym} ) { $r->{'corr'}->{$corr_sym}++; } else { $r->{'corr'}->{$corr_sym} = 1; } } } } # End of correlations check } } } } sub JsonObjectElt() { my ( $k, $v ) = @_; my $f = defined $_[2] ? $_[2] : '%s'; if ( $f eq "%s" ) { $f = "\"%s\""; } printf "\"%s\":$f", $k, $v; } sub GetLogfilesList { my ($dir) = @_; opendir( my $fh, $dir ) or die $!; my $pattern = join( '|', keys %decompressor ); my $re = qr/\.[0-9]+(?:\.(?:$pattern))?/; # Add unnumbered logs first my @logs = grep { -f "$dir/$_" && !/$re/ } readdir($fh); # Add numbered logs rewinddir($fh); push( @logs, ( sort numeric ( grep { -f "$dir/$_" && /$re/ } readdir($fh) ) ) ); closedir($fh); # Select required logs and revers their order @logs = reverse splice( @logs, $exclude_logs, $num_logs ||= @logs - $exclude_logs ); # Loop through array printing out filenames print { interactive(*STDERR) } "\nLog files to process:\n"; foreach my $file (@logs) { print { interactive(*STDERR) } " $file\n"; } print { interactive(*STDERR) } "\n"; return @logs; } sub log_time_format { my $fh = shift; my ( $format, $line ); while (<$fh>) { $line = $_; # 2017-08-08 00:00:01 #66984( # 2017-08-08 00:00:01.001 #66984( if (/^\d{4}-\d\d-\d\d \d\d:\d\d:\d\d(\.\d{3,5})? #\d+\(/) { $format = 'rspamd'; last; } # Aug 8 00:02:50 #66986( elsif (/^\w{3} (?:\s?\d|\d\d) \d\d:\d\d:\d\d #\d+\(/) { $format = 'syslog'; last; } # Aug 8 00:02:50 hostname rspamd[66986] elsif (/^\w{3} (?:\s?\d|\d\d) \d\d:\d\d:\d\d \S+ rspamd\[\d+\]/) { $format = 'syslog'; last; } # 2018-04-16T06:25:46.012590+02:00 rspamd rspamd[12968] elsif (/\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{1,6})?(Z|[-+]\d{2}:\d{2}) \S+ rspamd\[\d+\]/) { $format = 'syslog5424'; last; } # Skip newsyslog messages # Aug 8 00:00:00 hostname newsyslog[63284]: logfile turned over elsif (/^\w{3} (?:\s?\d|\d\d) \d\d:\d\d:\d\d\ \S+ newsyslog\[\d+\]: logfile turned over$/) { next; } # Skip journalctl messages # -- Logs begin at Mon 2018-01-15 11:16:24 MSK, end at Fri 2018-04-27 09:10:30 MSK. -- elsif ( /^-- Logs begin at \w{3} \d{4}-\d\d-\d\d \d\d:\d\d:\d\d [A-Z]{3}, end at \w{3} \d{4}-\d\d-\d\d \d\d:\d\d:\d\d [A-Z]{3}\. --$/ ) { next; } else { print "Unknown log format\n"; exit 1; } } return ( $format, $line ); } sub normalized_time { return if !defined( $_ = shift ); /^\d\d(?::\d\d){0,2}$/ ? sprintf '%04d-%02d-%02d %s', 1900 + (localtime)[5], 1 + (localtime)[4], (localtime)[3], $_ : $_; } sub numeric { $a =~ /\.(\d+)\./; my $a_num = $1; $b =~ /\.(\d+)\./; my $b_num = $1; $a_num <=> $b_num; } sub spinner { my @spinner = qw{/ - \ |}; return if ( ( time - $spinner_update_time ) < 1 ); $spinner_update_time = time; printf { interactive(*STDERR) } "%s\r", $spinner[ $spinner_update_time % @spinner ]; select()->flush(); } # Convert syslog timestamp to "ISO 8601 like" format # using current year as syslog does not record the year (nor the timezone) # or the last year if the guessed time is in the future. sub syslog2iso { my %month_map; @month_map{qw(Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec)} = 0 .. 11; my ( $month, @t ) = $_[0] =~ m/^(\w{3}) \s\s? (\d\d?) \s (\d\d):(\d\d):(\d\d)/x; my $epoch = timelocal( ( reverse @t ), $month_map{$month}, 1900 + (localtime)[5] ); sprintf '%04d-%02d-%02d %02d:%02d:%02d', 1900 + (localtime)[5] - ( $epoch > time ), $month_map{$month} + 1, @t; } ### Imported from IO::Interactive 1.022 Perl module sub is_interactive { ## no critic (ProhibitInteractiveTest) my ($out_handle) = ( @_, select ); # Default to default output handle # Not interactive if output is not to terminal... return 0 if not -t $out_handle; # If *ARGV is opened, we're interactive if... if ( tied(*ARGV) or defined( fileno(ARGV) ) ) { # this is what 'Scalar::Util::openhandle *ARGV' boils down to # ...it's currently opened to the magic '-' file return -t *STDIN if defined $ARGV && $ARGV eq '-'; # ...it's at end-of-file and the next file is the magic '-' file return @ARGV > 0 && $ARGV[0] eq '-' && -t *STDIN if eof *ARGV; # ...it's directly attached to the terminal return -t *ARGV; } # If *ARGV isn't opened, it will be interactive if *STDIN is attached # to a terminal. else { return -t *STDIN; } } ### Imported from IO::Interactive 1.022 Perl module local ( *DEV_NULL, *DEV_NULL2 ); my $dev_null; BEGIN { pipe *DEV_NULL, *DEV_NULL2 or die "Internal error: can't create null filehandle"; $dev_null = \*DEV_NULL; } ### Imported from IO::Interactive 1.022 Perl module sub interactive { my ($out_handle) = ( @_, \*STDOUT ); # Default to STDOUT return &is_interactive ? $out_handle : $dev_null; } __END__ =head1 NAME rspamd_stats - analyze Rspamd rules by parsing log files =head1 SYNOPSIS rspamd_stats [options] [--symbol=SYM1 [--symbol=SYM2...]] [--log file] Options: --log=file log file or directory to read (stdin by default) --reject-score=score set reject threshold (15 by default) --junk-score=score set junk score (6.0 by default) --symbol=sym check specified symbol (perl regexps, '.*' by default) --alpha-score=score set ignore score for symbols (0.1 by default) --correlations enable correlations report --nrelated=integer show that amount of related symbols (10 by default) --search-pattern do not process input unless the desired pattern is found --start starting time (oldest) for log parsing --end ending time (newest) for log parsing --num-logs=integer number of recent logfiles to analyze (all files in the directory by default) --exclude-logs=integer number of latest logs to exclude (0 by default) --json print json output instead of human readable --help brief help message --mult=sym=number multiply symbol score --man full documentation =head1 OPTIONS =over 8 =item B<--log> Specifies log file or directory to read data from. If a directory is specified B analyses files in the directory including known compressed file types. Number of log files can be limited using B<--num-logs> and B<--exclude-logs> options. This assumes that files in the log directory have B- or B-like name format with numeric indexes. Files without indexes (generally it is merely one file) are considered the most recent and files with lower indexes are considered newer. =item B<--reject-score> Specifies the reject (spam) threshold. =item B<--junk-score> Specifies the junk (add header or rewrite subject) threshold. =item B<--alpha-score> Specifies the minimum score for a symbol to be considered by this script. =item B<--symbol> Add symbol or pattern (pcre format) to analyze. =item B<--num-logs> If set, limits number of analyzed logfiles in the directory to the specified value. =item B<--exclude-logs> Number of latest logs to exclude (0 by default). =item B<--correlations> Additionally print correlation rate for each symbol displayed. This routine calculates merely paired correlations between symbols. =item B<--search-pattern> Do not process input unless finding the specified regular expression. Useful to skip logs to a certain position. =item B<--exclude> Exclude log lines if certain symbols are fired (e.g. GTUBE). You may specify this option multiple time to skip multiple symbols. =item B<--start> Select log entries after this time. Format: C (can be truncated to any desired accuracy). If used with B<--end> select entries between B<--start> and B<--end>. The omitted date defaults to the current date if you supply the time. =item B<--end> Select log entries before this time. Format: C (can be truncated to any desired accuracy). If used with B<--start> select entries between B<--start> and B<--end>. The omitted date defaults to the current date if you supply the time. =item B<--mult=symbol=number> Multiplies score for the named symbol by the provided multiplier. =item B<--help> Print a brief help message and exits. =item B<--man> Prints the manual page and exits. =back =head1 DESCRIPTION B will read the given log file (or standard input) and provide statistics for the specified symbols: Symbol: BAYES_SPAM (weight 3.763) (381985 hits, 26.827%) Ham hits: 184557 (48.315%), total ham: 1095487 (ham with BAYES_SPAM: 16.847%) Spam hits: 15134 (3.962%), total spam: 16688 (spam with BAYES_SPAM: 90.688%) Junk hits: 182294 (47.723%), total junk: 311699 (junk with BAYES_SPAM: 58.484%) Spam changes (ham/junk -> spam): 7026 (1.839%), total percentage (changes / spam hits): 42.102% Junk changes (ham -> junk): 95192 (24.920%), total percentage (changes / junk hits): 30.540% Where there are the following attributes: =over 4 =item * B: average score for a symbols =item * B: total number of hits and percentage of symbol hits divided by total number of messages =item * B: provides the following information about B messages with the specified symbol (from left to right): =over 4 =item 1. B: number of messages that has this symbol and are B =item 2. B: number of symbol hits divided by overall B messages count =item 3. B: overall number of B messages =item 4. B: percentage of number of hits with specified symbol in B messages divided by total number of B messages. =back =item * B: provides the following information about B messages - same as previous but for B class. =item * B: provides the following information about B messages - same as previous but for B class. =item * B: displays data about how much messages switched their class because of the specific symbol weight. =item * B: displays data about how much messages switched their class because of the specific symbol weight. =back =cut