#!/usr/bin/perl -T
use lib '.'; use lib 't';
use SATest; sa_t_init("autolearn");
use constant HAS_DB_FILE => eval { require DB_File; };
use Test::More;
plan skip_all => 'Need DB_File for this test' unless HAS_DB_FILE;
plan tests => 2;
# ---------------------------------------------------------------------------
%patterns = (
  q{ autolearn=spam } => 'autolearned as spam'
);
%anti_patterns = (
);
tstprefs ("
body    AUTOLEARNTEST_BODY      /EVOLUTION PREVIEW RELEASE/
score   AUTOLEARNTEST_BODY      1.5
body    AUTOLEARNTEST_BODY2     /GET SOURCE CODE/
score   AUTOLEARNTEST_BODY2     1.5
body    AUTOLEARNTEST_BODY3     /RELEASE NOTES/
score   AUTOLEARNTEST_BODY3     1.5
header  AUTOLEARNTEST_HEAD      From =~ /@/
score   AUTOLEARNTEST_HEAD      1.5
header  AUTOLEARNTEST_HEAD2     Subject =~ /HC Announce/
score   AUTOLEARNTEST_HEAD2     1.5
header  AUTOLEARNTEST_HEAD3     Precedence =~ /bulk/
score   AUTOLEARNTEST_HEAD3     1.5
use_bayes 1
bayes_auto_learn 1
bayes_auto_learn_threshold_spam 6.0
");
ok (sarun ("-L -t < data/nice/001", \&patterns_run_cb));
ok_all_patterns();