In other words, you want to define the full path and file name for each of those settings:
bayes_path /var/spool/MIMEDefang/bayes/bayesdb
auto_whitelist_path /var/spool/MIMEDefang/auto_whitelist/auto_whitelist
Where "bayesdb" is the filename for the bayes database, and auto_whitelist is the filename for the auto_whitelist.
-Rich
Daniel Kasak wrote:
I'm trying to activate bayesian analysis.
My /etc/mail/spamassassin/sa-mimedefang.cf:
required_hits 7 ok_locales en rewrite_subject 0 report_header 1 skip_rbl_checks 0 use_bayes 1 auto_learn 1 bayes_path /var/spool/MIMEDefang/bayes bayes_file_mode 0666 auto_whitelist_path /var/spool/MIMEDefang/auto_whitelist auto_whitelist_file_mode 0666 bayes_min_ham_num 20 bayes_min_spam_num 20
Spamassassin is working, minus bayesian analysis. I get the following 2 lines in all email:
X-Spam-Score: 0.675 () HOME_EMPLOYMENT,WORK_AT_HOME X-Scanned-By: MIMEDefang 2.38
But nothing about bayesian analysis.
With the above settings, I have the following in /var/spool/MIMEDefang:
proto MIMEDefang # ls -l
total 1245
drwxr-xr-x 2 defang users 48 May 20 23:47 auto_whitelist
-rw------- 2 defang users 12288 May 20 23:49 auto_whitelist.dir
-rw------- 2 defang users 12288 May 20 23:49 auto_whitelist.pag
drwxr-xr-x 2 defang users 48 May 22 10:38 bayes
-rw-rw-rw- 1 defang users 626688 May 22 10:28 bayes_seen
-rw-rw-rw- 1 defang users 1236992 May 22 10:28 bayes_toks
srwxrwxrwx 1 defang users 0 Apr 13 19:25 clamd.sock
-rw------- 1 defang users 6 May 22 10:37 mimedefang-multiplexor.pid
srw------- 1 defang users 0 May 22 10:37 mimedefang-multiplexor.sock
-rw------- 1 defang users 6 May 22 10:37 mimedefang.pid
srwx------ 1 defang users 0 May 22 10:37 mimedefang.sock
proto MIMEDefang #
I created the 2 directories 'auto_whitelist' and 'bayes', but instead of using them, things seem to get dumped in the top-level directory.
Also when I run 'sa-learn' the bayes files above get created by root, so I chown then to defang. I assume there is a better way of doing this?
Maybe running sa-learn as the defang user?
Anyway, I have run 'sa-learn' and learned about 50 spam messages, and a couple of hundred ham messages.
What else should I be looking for?
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