Am 01.10.2012 17:21, schrieb Georg Lindner:
We recently upgraded from amavisd-new 2.6.1 to version 2.8.0, and are now
trying to get dspam integration (including autolearn) working together with the
new amavis setup.
Our dspam entry in the amavis.conf:
['DSPAM', 'Amavis::SpamControl::ExtProg', 'dspamc',
[ qw(--client --stdout --deliver=innocent,spam --user), $daemon_user ],
learn_ham => [ qw(--class=innocent --source=error--user), $daemon_user ],
learn_spam => [ qw(--class=spam --source=error --user), $daemon_user ],
mail_body_size_limit => 65000, score_factor => 1.00
]
According to the amavis log the auto-learn process for dspam is called:
Sep 26 23:38:33 srv1 amavis[5475]: (05475-05) DSPAM result: Spam, score=1.000,
sig=506375d921989068461704
Sep 26 23:38:36 srv1 amavis[5475]: (05475-05) SpamControl: scanner DSPAM,
auto-learn as ham / 0.389 (was: spam / 1.000)
The dspam auto-learn is based on the X-DSPAM-Signature header. But it looks
like all the X-DSPAM-* headers are not passed over the the autolearn process,
so the messages are not reclassified.
Neither as spam nor as ham.
When a message is deliverd to the user later on the X-DSPAM-* headers are
present.
Is there a way to pass the "X-DSPAM-Signature" header to the auto learning?
Either in-line in the message header, or as a parameter --signature=
Thanks in advance
Georg
As I found no resolution to the above problem I am now using a custom
hook to train dspam. This works quite nice but now I am facing the next
problem...
How can I disable the amavis built-in autolearn mechanism for dspam?
I've tried to remove learn_ham and learn_spam from the configuration,
but apparently it doesn't disable anything.
Any ideas?
Georg
