mailcow dockerized

data/conf/rspamd/local.d/statistic.conf

@@ -0,0 +1,59 @@
+classifier "bayes" {
+    tokenizer {
+    name = "osb";
+    }
+
+    backend = "redis";
+    servers = "redis:6379";
+    min_tokens = 11;
+    min_learns = 200;
+    autolearn = true;
+
+    per_user = <<EOD
+return function(task)
+    local rcpt = task:get_recipients(1)
+
+if rcpt then
+    one_rcpt = rcpt[1]
+    if one_rcpt['domain'] then
+        return one_rcpt['domain']
+    end
+end
+
+return nil
+end
+EOD
+
+    statfile {
+        symbol = "BAYES_HAM";
+        spam = false;
+    }
+    statfile {
+        symbol = "BAYES_SPAM";
+        spam = true;
+    }
+    learn_condition =<<EOD
+return function(task, is_spam, is_unlearn)
+    local prob = task:get_mempool():get_variable('bayes_prob', 'double')
+
+    if prob then
+        local in_class = false
+        local cl
+        if is_spam then
+            cl = 'spam'
+            in_class = prob >= 0.95
+        else
+            cl = 'ham'
+            in_class = prob <= 0.05
+        end
+
+        if in_class then
+            return false,string.format('already in class %s; probability %.2f%%',
+            cl, math.abs((prob - 0.5) * 200.0))
+        end
+    end
+
+    return true
+end
+EOD
+}