Spamassassin trainieren

#!/bin/bash

# thanks to Holger Dunkel for basis of this script
# culled from the suse-slox-e@suse.com mailing list
#
# run sa-learn on spammed mailbox
#
spamdir=auchSPAM
dir=/var/spool/imap/$spamdir
c=0
if [ -d $dir ];then
cd $dir && echo now in $dir
for i in *. ; do
if [ -f $i ]; then
#cat $i | su - nobody -c "sa-learn --showdots --spam --single";
cat $i | su - nobody -c "sa-learn --showdots --spam";
echo $i, $c
# this removes emails from the shared folder
rm -v $i
let c++
fi
done
# as user cyrus reconstruct the maildir files
su - cyrus -c "reconstruct $spamdir"
echo "processed $c mails"
else
echo $dir not found
exit 1
fi

# run sa-learn on not-spam mailbox
#
hamdir=keinSPAM
dir=/var/spool/imap/$hamdir
c=0
if [ -d $dir ];then
cd $dir && echo now in $dir
for i in *. ; do
if [ -f $i ]; then
#cat $i | su - nobody -c "sa-learn --showdots --ham --single ";
cat $i | su - nobody -c "sa-learn --showdots --ham";
echo $i, $c
# this removes emails from the shared folder
rm -v $i
let c++
fi
done
# as user cyrus reconstruct the maildir files
su - cyrus -c "reconstruct $hamdir"
echo "processed $c mails"
else
echo $dir not found
exit 1
fi

# integrate learned stuff
#
su - nobody -c "sa-learn --rebuild"

report briefly
report_header 1
report_safe 0
use_terse_report 0
detailed_phrase_score 1

$sa_tag_level_deflt = 0.0

use_bayes 1
bayes_path /var/spool/amavis/.spamassassin/bayes
auto_learn 1

$sa_auto_whitelist = 1;      # turn on AWL in SA 2.63 or older (irrelevant
                             # for SA 3.0, cf option is 'use_auto_whitelist')