Centos7
Postfix 3.2.2
Amavisd-new 2.11.0
Spamassassin 3.4.0
Site-wide configuration
This is a new box and I've configured some conservative values for auto-learn.
I've enabled it properly AFAIK, but I can't see any sign of it working.
I have these set in local.cf
use_bayes 1
bayes_auto_learn 1
bayes_auto_learn_threshold_nonspam -1.7
bayes_auto_learn_threshold_spam 10.0
# this is a filename prefix, not a directory per se
bayes_path /etc/mail/bayes/bayes
bayes_file_mode 0666
-------------bayes prep ----------------
Start fresh for troubleshooting:
su amavis -c 'sa-learn --clear'
Add one spam manually and check tokens:
[root@tn2 mail]# su amavis -c 'sa-learn --dump magic'
0.000 0 3 0 non-token data: bayes db version
0.000 0 1 0 non-token data: nspam
0.000 0 0 0 non-token data: nham
0.000 0 2157 0 non-token data: ntokens
---------amavisd prep----------------
Restart amavisd/spamassassin just to be sure all configs read..
------- ready to process -------------
The next high scoring spam arrives, it was sent to my spam mailbox. It did NOT
autolearn. Nor did several others.
To troubleshoot, I took one that did not autolearn, and learned it manually by:
su amavis -c 'sa-learn -D --spam --showdots --mbox /home/mail/onespam
even though this message was slightly over the threshold, the log says it
learned anyway:
-D log snippet:
---------------------
Aug 8 12:37:27.216 [13198] info: archive-iterator: skipping large message: 858
lines, 262203 bytes, limit 262144 bytes
Learned tokens from 1 message(s) (1 message(s) examined)
---------------------
Verified it learned:
[root@tn2 mail]# su amavis -c 'sa-learn --dump magic'
0.000 0 3 0 non-token data: bayes db version
0.000 0 2 0 non-token data: nspam
Partial header from that message:
X-Spam-Flag: YES
X-Spam-Score: 17.374
X-Spam-Level: *****************
X-Spam-Status: Yes, score=17.374 tag=-9999 tag2=5 kill=6.31
tests=[RCVD_IN_BRBL_LASTEXT=1.644, RCVD_IN_DNSWL_NONE=-0.0001,
RCVD_IN_RP_RNBL=1.284, RCVD_IN_SBL_CSS=3.558, RCVD_IN_SORBS_WEB=1.5,
RP_MATCHES_RCVD=-0.001, SUSPICIOUS_RECIPS=2.497,
URIBL_ABUSE_SURBL=1.948, URIBL_BLACK=1.7, URIBL_DBL_SPAM=2.5,
URIBL_SBL=0.644, URIBL_SBL_A=0.1] autolearn=no autolearn_force=no
Why aren't my spams getting auto-learned? If sa-learn "ate" it, shouldn't
auto-learn too?
I know there is a default 200 threshold before Bayes starts tagging anything,
but I understand it should learn without issue.
Can't figure out what's wrong...
