@@ -191,6 +191,47 @@ To access the admin web UI of Rspamd point the browser to
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https://<mail host>/rspamd/
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+ ## Rspamd bulk Bayesian filter training
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+
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+ To efficiently train the Rspamd Bayesian filter plugin in an NS8
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+ environment, use the ` rspamc ` wrapper command, which incorporates Rspamd's
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+ authentication header logic.
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+
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+ To display the help output for the ` rspamc-wrapper ` command, run:
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+
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+ # Display the help output for rspamc-wrapper
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+ runagent -m mail1 podman exec -i dovecot rspamc-wrapper --help
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+
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+ To train the filter with ham messages, specify the mailbox path relative
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+ to Dovecot's working directory. For example, to train with messages from
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+ ` first.user ` 's mailbox:
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+
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+ # Read ham messages from an existing Maildir in the container
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+ runagent -m mail1 podman exec -i dovecot rspamc-wrapper learn_ham first.user/Maildir/cur
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+
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+ For a single spam file (e.g., in mbox format), use shell redirection to
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+ pass the file through stdin. For example:
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+
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+ # Train filter with spam messages in a single mbox file
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+ runagent -m mail1 podman exec -i dovecot rspamc-wrapper learn_spam < spamarchive.mbox
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+
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+ If you have multiple spam files in a directory on the host, copy them into
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+ the container's filesystem using:
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+
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+ # Copy directory and its contents into Dovecot's container, under /srv
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+ tar -c ./some-spamdir | runagent -m mail1 podman cp - dovecot:/srv
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+
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+ Note that ` /srv/some-spamdir ` is not mounted to a persistent volume, so
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+ its contents are volatile and will be lost on the next container restart.
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+ To train with messages from the container directory, run:
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+
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+ # Train filter with spam messages in the volatile destination directory
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+ runagent -m mail1 podman exec -i dovecot rspamc-wrapper learn_spam /srv/some-spamdir
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+
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+ For best results, verify successful training by reviewing the Rspamd logs
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+ or using diagnostic commands. Consult the Rspamd documentation for further
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+ details.
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+
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## Service discovery
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Another module can discover IMAP and SUBMISSION endpoints by looking up
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