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bayessql.t
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bayessql.t
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#!/usr/bin/perl -T
use File::Find qw(find);
use lib '.'; use lib 't';
use SATest; sa_t_init("bayessql");
use Test::More;
use Mail::SpamAssassin;
use constant HAS_DBI => eval { require DBI; }; # for our cleanup stuff
use constant SQLITE => eval { require DBD::SQLite; };
use constant SQL => conf_bool('run_bayes_sql_tests');
plan skip_all => "DBI is unavailable on this system" unless (HAS_DBI);
plan skip_all => "Bayes SQL tests are disabled or DBD::SQLite not found" unless (SQLITE || SQL);
my $tests = 0;
$tests += 59 if (SQLITE);
$tests += 59 if (SQL);
plan tests => $tests;
diag "Note: Failure may be due to an incorrect config.";
my ($dbconfig, $dbdsn, $dbusername, $dbpassword);
if (SQLITE) {
# Try /dev/shm as it's likely memdisk, otherwise SQLite is sloow..
my $dbdir = tempdir("bayessql.XXXXXX", DIR => -w "/dev/shm" ? "/dev/shm" : "log");
die "FATAL: failed to create dbdir: $!" unless -d $dbdir;
$dbdsn = "dbi:SQLite:dbname=$dbdir/bayes.db";
$dbusername = "";
$dbpassword = "";
my $dbh = DBI->connect($dbdsn,$dbusername,$dbpassword);
$dbh->do("PRAGMA synchronous = OFF");
$dbh->do("PRAGMA cache_size = 10000");
$dbh->do("
CREATE TABLE bayes_expire (
id int(11) NOT NULL default '0',
runtime int(11) NOT NULL default '0',
PRIMARY KEY (id)
);
") or die "Failed to create $dbfile";
$dbh->do("
CREATE TABLE bayes_global_vars (
variable varchar(30) NOT NULL default '',
value varchar(200) NOT NULL default '',
PRIMARY KEY (variable)
);
") or die "Failed to create $dbfile";
$dbh->do("
INSERT INTO bayes_global_vars VALUES ('VERSION','3');
") or die "Failed to create $dbfile";
$dbh->do("
CREATE TABLE bayes_seen (
id int(11) NOT NULL default '0',
msgid varchar(200) NOT NULL default '' COLLATE binary,
flag char(1) NOT NULL default '',
PRIMARY KEY (id,msgid)
);
") or die "Failed to create $dbfile";
$dbh->do("
CREATE TABLE bayes_token (
id int(11) NOT NULL default '0',
token char(5) NOT NULL default '' COLLATE binary,
spam_count int(11) NOT NULL default '0',
ham_count int(11) NOT NULL default '0',
atime int(11) NOT NULL default '0',
PRIMARY KEY (id, token)
);
") or die "Failed to create $dbfile";
$dbh->do("
CREATE INDEX idx_id_atime ON bayes_token (id, atime);
") or die "Failed to create $dbfile";
$dbh->do("
CREATE TABLE bayes_vars (
id INTEGER PRIMARY KEY AUTOINCREMENT,
username varchar(200) NOT NULL default '',
spam_count int(11) NOT NULL default '0',
ham_count int(11) NOT NULL default '0',
token_count int(11) NOT NULL default '0',
last_expire int(11) NOT NULL default '0',
last_atime_delta int(11) NOT NULL default '0',
last_expire_reduce int(11) NOT NULL default '0',
oldest_token_age int(11) NOT NULL default '2147483647',
newest_token_age int(11) NOT NULL default '0'
);
") or die "Failed to create $dbfile";
$dbh->do("
CREATE UNIQUE INDEX idx_username ON bayes_vars (username);
") or die "Failed to create $dbfile";
$dbh->disconnect;
undef $dbh;
$dbconfig = "
bayes_store_module Mail::SpamAssassin::BayesStore::SQL
bayes_sql_dsn $dbdsn
";
run_bayes();
rmtree($dbdir);
}
if (SQL) {
$dbdsn = conf('bayes_sql_dsn');
$dbusername = conf('bayes_sql_username');
$dbpassword = conf('bayes_sql_password');
$dbconfig = '';
foreach my $setting (qw(
bayes_store_module
bayes_sql_dsn
bayes_sql_username
bayes_sql_password
))
{
my $val = conf($setting);
$dbconfig .= "$setting $val\n" if $val;
}
run_bayes();
}
#---------------------------------------------------------------------------
sub run_bayes {
my $testuser = 'tstusr.'.$$.'.'.time();
tstprefs ("
$dbconfig
bayes_sql_override_username $testuser
loadplugin validuserplugin ../../../data/validuserplugin.pm
bayes_sql_username_authorized 1
");
my $sa = create_saobj();
$sa->init();
ok($sa);
my $learner = $sa->call_plugins("learner_get_implementation");
ok($sa->{bayes_scanner} && $learner);
ok($learner->{store}->tie_db_writable());
# This bit breaks abstraction a bit, the userid is an implementation detail,
# but is necessary to perform some of the tests. Perhaps in the future we
# can add some sort of official API for this sort of thing.
my $testuserid = $learner->{store}->{_userid};
ok(defined($testuserid));
ok($learner->{store}->clear_database());
ok(database_clear_p($testuser, $testuserid));
$sa->finish_learner();
undef $sa;
sa_t_init("bayessql");
tstprefs ("
$dbconfig
bayes_sql_override_username iwillfail
loadplugin validuserplugin ../../../data/validuserplugin.pm
bayes_sql_username_authorized 1
");
$sa = create_saobj();
$sa->init();
ok($sa);
$learner = $sa->call_plugins("learner_get_implementation");
ok($sa->{bayes_scanner});
ok(!$learner->{store}->tie_db_writable());
$sa->finish_learner();
undef $sa;
sa_t_init("bayessql");
tstprefs ("
$dbconfig
bayes_sql_override_username $testuser
");
$sa = create_saobj();
$sa->init();
ok($sa);
$learner = $sa->call_plugins("learner_get_implementation");
ok($sa->{bayes_scanner});
ok(!$sa->{bayes_scanner}->is_scan_available());
open(MAIL,"< data/spam/001");
my $raw_message = do {
local $/;
<MAIL>;
};
close(MAIL);
ok($raw_message);
my @msg;
foreach my $line (split(/^/m,$raw_message)) {
$line =~ s/\r$//;
push(@msg, $line);
}
my $mail = $sa->parse( \@msg );
ok($mail);
my $body = $learner->get_body_from_msg($mail);
ok($body);
my $toks = $learner->tokenize($mail, $body);
ok(scalar(keys %{$toks}) > 0);
my $msgid = $mail->generate_msgid();
my $msgid_hdr = $mail->get_msgid();
# $msgid is the generated hash messageid
# $msgid_hdr is the Message-Id header
ok($msgid eq '71f849915d7e469ddc1890cd8175f6876843f99e@sa_generated');
ok($msgid_hdr eq '9PS291LhupY');
ok($learner->{store}->tie_db_writable());
ok(!$learner->{store}->seen_get($msgid));
$learner->{store}->untie_db();
ok($sa->{bayes_scanner}->learn(1, $mail));
ok(!$sa->{bayes_scanner}->learn(1, $mail));
ok($learner->{store}->tie_db_writable());
ok($learner->{store}->seen_get($msgid) eq 's');
$learner->{store}->untie_db();
ok($learner->{store}->tie_db_writable());
my $tokerror = 0;
foreach my $tok (keys %{$toks}) {
my ($spam, $ham, $atime) = $learner->{store}->tok_get($tok);
if ($spam == 0 || $ham > 0) {
$tokerror = 1;
}
}
ok(!$tokerror);
my $tokens = $learner->{store}->tok_get_all(keys %{$toks});
ok($tokens);
$tokerror = 0;
foreach my $tok (@{$tokens}) {
my ($token, $tok_spam, $tok_ham, $atime) = @{$tok};
if ($tok_spam == 0 || $tok_ham > 0) {
$tokerror = 1;
}
}
ok(!$tokerror);
$learner->{store}->untie_db();
ok($sa->{bayes_scanner}->learn(0, $mail));
ok($learner->{store}->tie_db_writable());
ok($learner->{store}->seen_get($msgid) eq 'h');
$learner->{store}->untie_db();
ok($learner->{store}->tie_db_writable());
$tokerror = 0;
foreach my $tok (keys %{$toks}) {
my ($spam, $ham, $atime) = $learner->{store}->tok_get($tok);
if ($spam > 0 || $ham == 0) {
$tokerror = 1;
}
}
ok(!$tokerror);
$learner->{store}->untie_db();
ok($sa->{bayes_scanner}->forget($mail));
ok($learner->{store}->tie_db_writable());
ok(!$learner->{store}->seen_get($msgid));
$learner->{store}->untie_db();
# This bit breaks abstraction a bit, the userid is an implementation detail,
# but is necessary to perform some of the tests. Perhaps in the future we
# can add some sort of official API for this sort of thing.
$testuserid = $learner->{store}->{_userid};
ok(defined($testuserid));
ok($learner->{store}->clear_database());
ok(database_clear_p($testuser, $testuserid));
$sa->finish_learner();
undef $sa;
sa_t_init("bayessql"); # this wipes out what is there and begins anew
# make sure we learn to a journal
tstprefs ("
$dbconfig
bayes_min_spam_num 10
bayes_min_ham_num 10
bayes_sql_override_username $testuser
");
# we get to bastardize the existing pattern matching code here. It lets us provide
# our own checking callback and keep using the existing ok_all_patterns call
%patterns = ( 1 => 'Acted on message' );
$wanted_examined = count_files("data/spam");
ok(salearnrun("--spam data/spam", \&check_examined));
ok_all_patterns();
$wanted_examined = count_files("data/nice");
ok(salearnrun("--ham data/nice", \&check_examined));
ok_all_patterns();
$wanted_examined = count_files("data/welcomelists");
ok(salearnrun("--ham data/welcomelists", \&check_examined));
ok_all_patterns();
$wanted_examined = 3;
ok(salearnrun("--ham --mbox data/nice.mbox", \&check_examined));
ok_all_patterns();
$wanted_examined = 3;
ok(salearnrun("--ham --mbox < data/nice.mbox", \&check_examined));
ok_all_patterns();
$wanted_examined = 3;
ok(salearnrun("--forget --mbox data/nice.mbox", \&check_examined));
ok_all_patterns();
%patterns = ( 'non-token data: bayes db version' => 'db version' );
ok(salearnrun("--dump magic", \&patterns_run_cb));
ok_all_patterns();
use constant SCAN_USING_PERL_CODE_TEST => 1;
# jm: off! not working for some reason. Mind you, this is
# not a supported way to call these APIs! so no biggie
if (SCAN_USING_PERL_CODE_TEST) {
$sa = create_saobj();
$sa->init();
$learner = $sa->call_plugins("learner_get_implementation");
open(MAIL,"< ../sample-nonspam.txt");
$raw_message = do {
local $/;
<MAIL>;
};
close(MAIL);
@msg = ();
foreach my $line (split(/^/m,$raw_message)) {
$line =~ s/\r$//;
push(@msg, $line);
}
$mail = $sa->parse( \@msg );
$body = $learner->get_body_from_msg($mail);
my $msgstatus = Mail::SpamAssassin::PerMsgStatus->new($sa, $mail);
ok($msgstatus);
my $score = $learner->scan($msgstatus, $mail, $body);
# Pretty much we can't count on the data returned with such little training
# so just make sure that the score wasn't equal to .5 which is the default
# return value.
print "\treturned score: $score\n";
ok($score =~ /\d/ && $score <= 1.0 && $score != .5);
open(MAIL,"< ../sample-spam.txt");
$raw_message = do {
local $/;
<MAIL>;
};
close(MAIL);
@msg = ();
foreach my $line (split(/^/m,$raw_message)) {
$line =~ s/\r$//;
push(@msg, $line);
}
$mail = $sa->parse( \@msg );
$body = $learner->get_body_from_msg($mail);
$msgstatus = Mail::SpamAssassin::PerMsgStatus->new($sa, $mail);
$score = $learner->scan($msgstatus, $mail, $body);
# Pretty much we can't count on the data returned with such little training
# so just make sure that the score wasn't equal to .5 which is the default
# return value.
print "\treturned score: $score\n";
ok($score =~ /\d/ && $score <= 1.0 && $score != .5);
}
# This bit breaks abstraction a bit, the userid is an implementation detail,
# but is necessary to perform some of the tests. Perhaps in the future we
# can add some sort of official API for this sort of thing.
$testuserid = $learner->{store}->{_userid};
ok(defined($testuserid));
ok($learner->{store}->clear_database());
ok(database_clear_p($testuser, $testuserid));
$sa->finish_learner();
}
#---------------------------------------------------------------------------
sub check_examined {
local ($_);
my $string = shift;
if (defined $string) {
$_ = $string;
} else {
$_ = join ('', <IN>);
}
if ($_ =~ /(?:Forgot|Learned) tokens from \d+ message\(s\) \((\d+) message\(s\) examined\)/) {
#print STDERR "examined $1 messages\n";
if (defined $wanted_examined && $wanted_examined == $1) {
$found{'Acted on message'}++;
}
}
}
sub count_files {
my $cnt = 0;
find({wanted => sub { $cnt++ if -f $_; }, no_chdir => 1}, $_[0]);
return $cnt;
}
# WARNING! Do not use this as an example, this breaks abstraction
# and is here strictly to help the regression tests.
sub database_clear_p {
my ($username, $userid) = @_;
my $dbh = DBI->connect($dbdsn,$dbusername,$dbpassword);
if (!defined($dbh)) {
return 0;
}
my @row_ary;
my $sql = "SELECT count(*) from bayes_vars where username = ?";
@row_ary = $dbh->selectrow_array($sql, undef, $username);
return 0 if ($row_ary[0] != 0);
$sql = "SELECT count(*) from bayes_token where id = ?";
@row_ary = $dbh->selectrow_array($sql, undef, $userid);
return 0 if ($row_ary[0] != 0);
$sql = "SELECT count(*) from bayes_seen where id = ?";
@row_ary = $dbh->selectrow_array($sql, undef, $userid);
return 0 if ($row_ary[0] != 0);
$sql = "SELECT count(*) from bayes_expire where id = ?";
@row_ary = $dbh->selectrow_array($sql, undef, $userid);
return 0 if ($row_ary[0] != 0);
$dbh->disconnect();
return 1;
}