37 Zeilen
1,4 KiB
Markdown
37 Zeilen
1,4 KiB
Markdown
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### Learn spam and ham
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Rspamd learns mail as spam or ham when you move a message in or out of the junk folder to any mailbox besides trash.
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This is archived by using the Dovecot plugin "antispam" and a simple parser script.
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Rspamd also auto-learns mail when a high or low score is detected (see https://rspamd.com/doc/configuration/statistic.html#autolearning)
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The bayes statistics are written to Redis as keys `BAYES_HAM` and `BAYES_SPAM`.
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You can also use Rspamd's web ui to learn ham and/or spam.
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### Learn ham or spam from existing directory
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You can use a one-liner to learn mail in plain-text (uncompressed) format:
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```
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# Ham
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for file in /my/folder/cur/*; do docker exec -i $(docker-compose ps -q rspamd-mailcow) rspamc learn_ham < $file; done
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# Spam
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for file in /my/folder/.Junk/cur/*; do docker exec -i $(docker-compose ps -q rspamd-mailcow) rspamc learn_spam < $file; done
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```
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Consider attaching a local folder as new volume to `rspamd-mailcow` in `docker-compose.yml` and learn given files inside the container. This can be used as workaround to parse compressed data with zcat. Example:
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```
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for file in /data/old_mail/.Junk/cur/*; do rspamc learn_spam < zcat $file; done
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```
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### CLI tools
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```
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docker-compose exec rspamd-mailcow rspamc --help
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docker-compose exec rspamd-mailcow rspamadm --help
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```
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See [Rspamd documentation](https://rspamd.com/doc/index.html)
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