Spamassassin refuses to auto-learn!

Michael Freeman admin at thenamegame.com
Fri May 14 06:39:29 IST 2004


root at srv07 [/etc/apf]# spamassassin --lint -D
bash: spamassassin: command not found

and also when i tried downloading the roule_du_jour last night i received
the follow error at the end of my report.

***WARNING***: spamassassin --lint failed.
Rolling configuration files back, not restarting SpamAssassin.
Rollback command is:  mv -f /etc/mail/spamassassin/bigevil.cf
/etc/mail/spamassassin/RulesDuJour/bigevil.cf.2; mv -f
/etc/mail/spamassassin/RulesDuJour/bigevil.cf.20040512-1406
/etc/mail/spamassassin/bigevil.cf; mv -f /etc/mail/spamassassin/antidrug.cf
/etc/mail/spamassassin/RulesDuJour/antidrug.cf.2; rm -f
/etc/mail/spamassassin/antidrug.cf; mv -f
/etc/mail/spamassassin/evilnumbers.cf
/etc/mail/spamassassin/RulesDuJour/evilnumbers.cf.2; rm -f
/etc/mail/spamassassin/evilnumbers.cf;

----- Original Message -----
From: "Matt Kettler" <mkettler at EVI-INC.COM>
To: <MAILSCANNER at JISCMAIL.AC.UK>
Sent: Thursday, May 13, 2004 1:24 PM
Subject: Re: Spamassassin refuses to auto-learn!


> At 11:46 PM 5/13/2004, Michael Freeman wrote:
> >  Iv looked at the data base we have in /root/.spamassasin and it looks
> > correct but none of these files are getting any bigger or smaller. Are
> > they corrupt, are we missing something in this directory?
>
> Try spamassassin --lint -D. The debug output will tell you if somethings
> wrong with your bayes DB.
>
> This is some relevant fragments from a working copy
>
> debug: bayes: 2653 tie-ing to DB file R/O /root/.spamassassin/bayes_toks
> debug: bayes: 2653 tie-ing to DB file R/O /root/.spamassassin/bayes_seen
> debug: bayes: found bayes db version 2
> debug: Score set 3 chosen.
> debug: Initialising learner
>
> <snip, 4 lines of DNS tests>
>
> debug: bayes corpus size: nspam = 147399, nham = 8796
> debug: uri tests: Done uriRE
> debug: tokenize: header tokens for *F = "U*ignore
> D*compiling.spamassassin.taint.org D*spamassassin.taint.org D*taint.org
D*org"
> debug: tokenize: header tokens for *m = " 1084464673 lint_rules "
> debug: bayes token 'somewhat' => 0.0778688728996331
> debug: bayes token 'H*F:D*org' => 0.142590966837836
> debug: bayes: score = 0.0423511015549608
>
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