Work with Spam Data
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 Sieve plugin "sieve_imapsieve" and parser scripts.
Rspamd also auto-learns mail when a high or low score is detected (see https://rspamd.com/doc/configuration/statistic.html#autolearning). We configured the plugin to keep a sane ratio between spam and ham learns.
The bayes statistics are written to Redis as keys BAYES_HAM and BAYES_SPAM.
Besides bayes, a local fuzzy storage is used to learn recurring patterns in text or images that indicate ham or 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
# 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
Reset learned data (Bayes, Neural)¶
You need to delete keys in Redis to reset learned data, so create a copy of your Redis database now:
Copy of Redis database¶
# It is better to stop Redis before you copy the file.
cp /var/lib/docker/volumes/mailcowdockerized_redis-vol-1/_data/dump.rdb /root/
Reset Bayes data¶
docker compose exec redis-mailcow sh -c 'redis-cli --scan --pattern BAYES_* | xargs redis-cli del'
docker compose exec redis-mailcow sh -c 'redis-cli --scan --pattern RS* | xargs redis-cli del'
docker-compose exec redis-mailcow sh -c 'redis-cli --scan --pattern BAYES_* | xargs redis-cli del'
docker-compose exec redis-mailcow sh -c 'redis-cli --scan --pattern RS* | xargs redis-cli del'
Reset Neural data¶
docker compose exec redis-mailcow sh -c 'redis-cli --scan --pattern rn_* | xargs redis-cli del'
docker-compose exec redis-mailcow sh -c 'redis-cli --scan --pattern rn_* | xargs redis-cli del'
Reset Fuzzy data¶
# We need to enter the redis-cli first:
docker compose exec redis-mailcow redis-cli
# In redis-cli:
127.0.0.1:6379> EVAL "for i, name in ipairs(redis.call('KEYS', ARGV[1])) do redis.call('DEL', name); end" 0 fuzzy*
# We need to enter the redis-cli first:
docker-compose exec redis-mailcow redis-cli
# In redis-cli:
127.0.0.1:6379> EVAL "for i, name in ipairs(redis.call('KEYS', ARGV[1])) do redis.call('DEL', name); end" 0 fuzzy*
Info
If redis-cli complains about...
(error) ERR wrong number of arguments for 'del' command