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Rspamd is used for AV handling, DKIM signing and SPAM handling. It's a powerful and fast filter system. For a more in-depth documentation on Rspamd please visit its own documentation.
Learn Spam & Ham
Rspamd learns mail as spam or ham when you move a message in or out of the junk folder to any mailbox besides trash. This is achieved by using the Dovecot plugin "antispam" and a simple parser script.
Rspamd also auto-learns mail when a high or low score is detected (see https://rspamd.com/doc/configuration/statistic.html#autolearning)
The bayes statistics are written to Redis as keys BAYES_HAM and BAYES_SPAM.
You can also use Rspamd's web UI to learn ham and / or spam or to adjust certain settings of Rspamd.
Learn Spam or Ham from existing directory
You can use a one-liner to learn mail in plain-text (uncompressed) format:
# Ham
for file in /my/folder/cur/*; do docker exec -i $(docker-compose ps -q rspamd-mailcow) rspamc learn_ham < $file; done
# Spam
for file in /my/folder/.Junk/cur/*; do docker exec -i $(docker-compose ps -q rspamd-mailcow) rspamc learn_spam < $file; done
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:
for file in /data/old_mail/.Junk/cur/*; do rspamc learn_spam < zcat $file; done
CLI tools
docker-compose exec rspamd-mailcow rspamc --help
docker-compose exec rspamd-mailcow rspamadm --help