From: Alexander Moisseev Date: Sat, 21 Apr 2018 17:35:52 +0000 (+0300) Subject: [Minor] Distinguish `insignificant` tokens group in bayes_expiry X-Git-Tag: 1.7.4~53^2 X-Git-Url: https://source.dussan.org/?a=commitdiff_plain;h=f8cee35fdb422fe906a80dcde337093583b07cc0;p=rspamd.git [Minor] Distinguish `insignificant` tokens group in bayes_expiry --- diff --git a/src/plugins/lua/bayes_expiry.lua b/src/plugins/lua/bayes_expiry.lua index 4f4d810bb..bba2969c6 100644 --- a/src/plugins/lua/bayes_expiry.lua +++ b/src/plugins/lua/bayes_expiry.lua @@ -220,8 +220,8 @@ local expiry_script = [[ local tokens = {} -- Expiry step statistics counters - local nelts, extended, discriminated, sum, sum_squares, common, significant, infrequent, ttls_set = - 0,0,0,0,0,0,0,0,0 + local nelts, extended, discriminated, sum, sum_squares, common, significant, infrequent, infrequent_ttls_set, insignificant, insignificant_ttls_set = + 0,0,0,0,0,0,0,0,0,0,0 for _,key in ipairs(keys) do local values = redis.call('HMGET', key, 'H', 'S') @@ -251,6 +251,19 @@ local expiry_script = [[ local threshold = mean local total = spam + ham + local function set_ttl() + if expire < 0 then + if ttl ~= -1 then + redis.call('PERSIST', key) + return 1 + end + elseif ttl == -1 or ttl > expire then + redis.call('EXPIRE', key, expire) + return 1 + end + return 0 + end + if total == 0 or math.abs(ham - spam) <= total * ${epsilon_common} then common = common + 1 if ttl > ${common_ttl} then @@ -269,24 +282,19 @@ local expiry_script = [[ redis.call('EXPIRE', key, expire) extended = extended + 1 end + else + insignificant = insignificant + 1 + insignificant_ttls_set = insignificant_ttls_set + set_ttl() end else infrequent = infrequent + 1 - if expire < 0 then - if ttl ~= -1 then - redis.call('PERSIST', key) - ttls_set = ttls_set + 1 - end - elseif ttl == -1 or ttl > expire then - redis.call('EXPIRE', key, expire) - ttls_set = ttls_set + 1 - end + infrequent_ttls_set = infrequent_ttls_set + set_ttl() end end -- Expiry cycle statistics counters local c = {nelts = 0, extended = 0, discriminated = 0, sum = 0, sum_squares = 0, - common = 0, significant = 0, infrequent = 0, ttls_set = 0} + common = 0, significant = 0, infrequent = 0, infrequent_ttls_set = 0, insignificant = 0, insignificant_ttls_set = 0} local counters_key = pattern_sha1 .. '_counters' @@ -302,7 +310,9 @@ local expiry_script = [[ c.common = c.common + common c.significant = c.significant + significant c.infrequent = c.infrequent + infrequent - c.ttls_set = c.ttls_set + ttls_set + c.infrequent_ttls_set = c.infrequent_ttls_set + infrequent_ttls_set + c.insignificant = c.insignificant + insignificant + c.insignificant_ttls_set = c.insignificant_ttls_set + insignificant_ttls_set redis.call('HMSET', counters_key, unpack_function(hash2list(c))) redis.call('SET', cursor_key, tostring(next)) @@ -311,8 +321,8 @@ local expiry_script = [[ return { next, step, - {nelts, extended, discriminated, mean, stddev, common, significant, infrequent, ttls_set}, - {c.nelts, c.extended, c.discriminated, c.sum, c.sum_squares, c.common, c.significant, c.infrequent, c.ttls_set} + {nelts, extended, discriminated, mean, stddev, common, significant, infrequent, infrequent_ttls_set, insignificant, insignificant_ttls_set}, + {c.nelts, c.extended, c.discriminated, c.sum, c.sum_squares, c.common, c.significant, c.infrequent, c.infrequent_ttls_set, c.insignificant, c.insignificant_ttls_set} } ]] @@ -341,6 +351,7 @@ local function expire_step(cls, ev_base, worker) local d = cycle and { 'cycle in ' .. step .. ' steps', mode, c_data[1], c_data[7], c_data[2], significant_action, + c_data[10], c_data[11], infrequent_action, c_data[6], c_data[3], c_data[8], c_data[9], infrequent_action, c_mean, @@ -348,13 +359,14 @@ local function expire_step(cls, ev_base, worker) } or { 'step ' .. step, mode, data[1], data[7], data[2], significant_action, + data[10], data[11], infrequent_action, data[6], data[3], data[8], data[9], infrequent_action, data[4], data[5] } logger.infox(rspamd_config, - [[finished expiry %s%s: %s items checked, %s significant (%s %s), %s common (%s discriminated), %s infrequent (%s %s), %s mean, %s std]], + [[finished expiry %s%s: %s items checked, %s significant (%s %s), %s insignificant(%s %s), %s common (%s discriminated), %s infrequent (%s %s), %s mean, %s std]], lutil.unpack(d)) end log_stat(false)