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#!/usr/bin/perl
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();
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