sub run_bayes()

in t/bayessql.t [126:456]

• 196 lines of code
• 19 McCabe index (conditional complexity)

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();

}