Hi,
I have autlearn enabled and configured for auto-expire:
use_bayes 1
bayes_path /var/spool/exim4/.spamassassin/bayes
bayes_auto_learn 1
bayes_auto_learn_threshold_spam 5.0
bayes_auto_learn_threshold_nonspam -1.5
bayes_min_ham_num 100
bayes_min_spam_num 100
bayes_auto_expire 1
bayes_journal_max_size 204800
bayes_expiry_max_db_size 300000
The following happens:
1. I receive a spam. Score is above threshold, but header says:
auto-learn=unavailable:
X-Spam-Status: Yes, score=14.8 required=3.0 tests=FORGED_IMS_TAGS,
FORGED_MUA_IMS,HELO_DYNAMIC_IPADDR2,HTML_IMAGE_ONLY_04,
HTML_IMAGE_RATIO_02,HTML_MESSAGE,RCVD_IN_XBL,SPF_HELO_SOFTFAIL,
UNPARSEABLE_RELAY autolearn=unavailable version=3.1.4
2. So I do spamassassin -D -t and check, but it says bayes db is ok and
autolearn spam:
[15669] dbg: learn: auto-learn: currently using scoreset 3, recomputing
score based on scoreset 1
[15669] dbg: learn: auto-learn: message score: 20.987, computed score for
autolearn: 14.766
[15669] dbg: learn: auto-learn? ham=-1.5, spam=5, body-points=8.238,
head-points=8.378, learned-points=3
[15669] dbg: learn: auto-learn? yes, spam (14.766 > 5)
[15669] dbg: learn: initializing learner
[15669] dbg: learn: learning spam
3. Although I would now expect that it has learnt this spam, a manual call
of sa-learn --spam on that mail
reports it has learnt it. Don't know, whether it helps, but here a
sa-learn -dump magic:
data:/var/spool/sa-exim/SAdevnull/new# sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 1540 0 non-token data: nspam
0.000 0 13874 0 non-token data: nham
0.000 0 122142 0 non-token data: ntokens
0.000 0 1155499496 0 non-token data: oldest atime
0.000 0 1158589607 0 non-token data: newest atime
0.000 0 1158590802 0 non-token data: last journal sync
atime
0.000 0 1158342736 0 non-token data: last expiry atime
0.000 0 2764800 0 non-token data: last expire atime
delta
0.000 0 31397 0 non-token data: last expire
reduction count
Thanks,
Carsten.
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