On 8/20/2012 2:47 PM, Ben Johnson wrote: > I was able to resolve the issue by adding the --username switch to the > 'sa-learn' executable: > > # sa-learn --username=amavis --spam > /var/vmail/example.com/trainer/Maildir/.INBOX.Spam/cur > > Thanks for all of the hints, folks!
So, I've been training SpamAssassin like a mad-man for a couple of days. I don't have over 200 spams and 200 hams, so I don't expect Bayes to be used yet (and it's not), but the following output is puzzling (particularly, "only 0 spam(s) in bayes DB < 200"): ---8<---------- # su amavis -c "spamassassin -D -t < /usr/share/doc/spamassassin/examples/sample-spam.txt 2>&1 | egrep '(bayes:|whitelist:|AWL)'" Aug 21 13:08:33.717 [23714] dbg: bayes: learner_new self=Mail::SpamAssassin::Plugin::Bayes=HASH(0x213613f8), bayes_store_module=Mail::SpamAssassin::BayesStore::DBM Aug 21 13:08:33.728 [23714] dbg: bayes: learner_new: got store=Mail::SpamAssassin::BayesStore::DBM=HASH(0x2153b400) Aug 21 13:08:33.729 [23714] dbg: bayes: tie-ing to DB file R/O /var/lib/amavis/.spamassassin/bayes_toks Aug 21 13:08:33.729 [23714] dbg: bayes: tie-ing to DB file R/O /var/lib/amavis/.spamassassin/bayes_seen Aug 21 13:08:33.730 [23714] dbg: bayes: found bayes db version 3 Aug 21 13:08:33.730 [23714] dbg: bayes: DB journal sync: last sync: 0 Aug 21 13:08:33.730 [23714] dbg: bayes: not available for scanning, only 0 spam(s) in bayes DB < 200 Aug 21 13:08:33.730 [23714] dbg: bayes: untie-ing Aug 21 13:08:33.732 [23714] dbg: bayes: tie-ing to DB file R/O /var/lib/amavis/.spamassassin/bayes_toks Aug 21 13:08:33.732 [23714] dbg: bayes: tie-ing to DB file R/O /var/lib/amavis/.spamassassin/bayes_seen Aug 21 13:08:33.733 [23714] dbg: bayes: found bayes db version 3 Aug 21 13:08:33.733 [23714] dbg: bayes: DB journal sync: last sync: 0 Aug 21 13:08:33.733 [23714] dbg: bayes: not available for scanning, only 0 spam(s) in bayes DB < 200 Aug 21 13:08:33.733 [23714] dbg: bayes: untie-ing ---8<---------- Restarting Amavis does not change the output above. And the output below seems to contradict the above (300 spams and 95 hams): ---8<---------- # sa-learn --username=amavis --dump magic 0.000 0 3 0 non-token data: bayes db version 0.000 0 95 0 non-token data: nspam 0.000 0 300 0 non-token data: nham 0.000 0 59420 0 non-token data: ntokens 0.000 0 1345469997 0 non-token data: oldest atime 0.000 0 1345577900 0 non-token data: newest atime 0.000 0 0 0 non-token data: last journal sync atime 0.000 0 0 0 non-token data: last expiry atime 0.000 0 0 0 non-token data: last expire atime delta 0.000 0 0 0 non-token data: last expire reduction count ---8<---------- Am I doing something silly? Thanks for any help, -Ben
