On Thursday, July 17, 2003, at 04:26 PM, Nix wrote:
On Wed, 16 Jul 2003, [EMAIL PROTECTED] muttered drunkenly:spamassassin -r always does that. :)but by doing sa-learn, one has the option to skip rebuilding the bayes database after the scan -- which has significantly reduced my execution time and resources used spamassassin -r doesn't seem to do that
really? if so it is undocumented -- and a little odd. granted, the assumption that it is not is undocumented too. but:
POD spamassassin
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-r, --report
Report this message as verified spam. This will submit the mail message read from STDIN to various spam-blocker databases. Currently, these are Vipul's Razor ( http://razor.sourceforge.net/ ), the Distributed Checksum Clearinghouse ( http://www.rhyolite.com/anti-spam/dcc/ ), and Pyzor.
If the message contains SpamAssassin markup, this will be stripped out automatically before submission. The support modules for DCC, Razor and/or Pyzor must be installed for spam to be reported to each service.
The message will also be submitted to SpamAssassin's learning systems; currently this is the internal Bayesian statistical-filtering system (the BAYES rules). (Note that if you only want to perform statistical learning, and do not want to report mail to a third-party server, you should use the sa-learn command directly instead.)
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nothing in there about not rebuilding Bayes.. and
POD sa-learn
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--rebuild
Rebuild the databases, typically done after learning with --no-rebuild, or if you wish to periodically clean the Bayes databases once a day on a busy server.
--no-rebuild
Skip the slow rebuilding step which normally takes place after changing database entries. If you plan to scan many folders in a batch, it is faster to use this switch and run sa-learn --rebuild once all the folders have been scanned.
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which makes no allusion to rebuilding the bayes db after spamassassin -r
Force-rebuilding, there might be some call for, I suppose. It'd mean
you'd do a rebuild after every message learned, but that's not too terrible.
no.. it would operate, i'd imagine, just like "# sa-learn --rebuild "
I don't like that much; sa-learn's job isn't really reporting, it's
*learning*. Adding reportage to that job looks like feature creep to me.
well, then maybe an sa-report mechanism -- that trains bayes and reports spam to whatever you specify. i wouldn't think of it as new 'features' considering dcc/razor/pyzor checks are part of spamassassin
because as it stands, i'm either grossly incorrect or the documentation is misleading/confusing/or both.
spamassassin -r would logically have the resource consuming bayes rebuild after each report -- given the explicit documentation in the sa-learn facility. i dont know what the code is doing, haven't been able to trace it that far -- what i do know, is that the documentation for sa-learn says it rebuilds after each call unless explicity turned off, and the documentation for spamassassin -r says nothing about this.
there should be some sort of standard call that would take a Maildir/mbox of spam and:
1) strip sa headers of all messages in the box
2) submit messages to bayes
3) submit messages to razor / pyzor / dcc (possibly even converting maildir to mbox on this , so a single login could pass all the data and minimize bandwidth)
4) rebuild the bayes
it would be an efficient way to get everything done, and it seems something pretty central to operating spamassassin that it shouldn't need writing external scripts for
granted, i'm gonna have some perl/python script on a cron job running all the learning stuff anyways, but its a function less i'd have to write, and i'm a lazy bastard.
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