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authorVsevolod Stakhov <vsevolod@rspamd.com>2023-12-02 12:36:17 +0000
committerVsevolod Stakhov <vsevolod@rspamd.com>2023-12-02 12:36:17 +0000
commit44c6c563c2faf5ca97646e92e8382b972d2d513f (patch)
tree10bb13efb26233f45b0f53a84f086d5364bc3be3 /lualib/redis_scripts
parent69381e238b339065c12c61ba458873ddec1142d3 (diff)
downloadrspamd-44c6c563c2faf5ca97646e92e8382b972d2d513f.tar.gz
rspamd-44c6c563c2faf5ca97646e92e8382b972d2d513f.zip
[Project] Add classify redis script
Diffstat (limited to 'lualib/redis_scripts')
-rw-r--r--lualib/redis_scripts/bayes_classify.lua26
1 files changed, 26 insertions, 0 deletions
diff --git a/lualib/redis_scripts/bayes_classify.lua b/lualib/redis_scripts/bayes_classify.lua
new file mode 100644
index 000000000..c2654e476
--- /dev/null
+++ b/lualib/redis_scripts/bayes_classify.lua
@@ -0,0 +1,26 @@
+-- Lua script to perform bayes classification
+-- This script accepts the following parameters:
+-- key1 - prefix for bayes tokens (e.g. for per-user classification)
+-- key2 - set of tokens encoded in messagepack array of int64_t
+
+local prefix = KEYS[1]
+local input_tokens = cmsgpack.unpack(KEYS[2])
+local output_spam = {}
+local output_ham = {}
+
+for i, token in ipairs(input_tokens) do
+ local token_data = redis.call('HMGET', prefix .. tostring(token), 'H', 'S')
+
+ if token_data then
+ local ham_count = tonumber(token_data[1]) or 0
+ local spam_count = tonumber(token_data[2]) or 0
+
+ output_ham[i] = ham_count
+ output_spam[i] = spam_count
+ else
+ output_ham[i] = 0
+ output_spam[i] = 0
+ end
+end
+
+return cmsgpack.pack({ output_ham, output_spam }) \ No newline at end of file