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mailcow-dockerized/helper-scripts/reset-learns.sh

31 lines
1.6 KiB
Bash
Executable File

#!/usr/bin/env bash
read -r -p "Are you sure you want to reset learned hashes from Rspamd (fuzzy, bayes, neural)? [y/N] " response
response=${response,,} # tolower
if [[ "$response" =~ ^(yes|y)$ ]]; then
echo "Working, please wait..."
REDIS_ID=$(docker ps -qf name=redis-mailcow)
RSPAMD_ID=$(docker ps -qf name=rspamd-mailcow)
if [ -z ${REDIS_ID} ] || [ -z ${RSPAMD_ID} ]; then
echo "Cannot determine Redis or Rspamd container ID"
exit 1
else
echo "Stopping Rspamd container"
docker stop ${RSPAMD_ID}
echo "LUA will return nil when it succeeds or print a warning/error when it fails."
echo "Deleting all RS* keys - if any"
docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'RS*'
echo "Deleting all BAYES* keys - if any"
docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'BAYES*'
echo "Deleting all learned* keys - if any"
docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'learned*'
echo "Deleting all fuzzy* keys - if any"
docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'fuzzy*'
echo "Deleting all tRFANN* keys - if any"
docker exec -it ${REDIS_ID} redis-cli EVAL "for _,k in ipairs(redis.call('keys', ARGV[1])) do redis.call('del', k) end" 0 'tRFANN*'
echo "Starting Rspamd container"
docker start ${RSPAMD_ID}
fi
fi