From: Vsevolod Stakhov <vsevolod@rspamd.com>
Date: Wed, 23 Jul 2025 17:28:46 +0000 (+0100)
Subject: [Minor] Reduce debug level verbosity
X-Git-Tag: 3.13.0~38^2~16
X-Git-Url: http://git.ipfire.org/?a=commitdiff_plain;h=e989261050e313c9051c22db01d29de396a843e6;p=thirdparty%2Frspamd.git

[Minor] Reduce debug level verbosity
---

diff --git a/src/libstat/backends/redis_backend.cxx b/src/libstat/backends/redis_backend.cxx
index c897afb9bc..5d55bf3ace 100644
--- a/src/libstat/backends/redis_backend.cxx
+++ b/src/libstat/backends/redis_backend.cxx
@@ -152,13 +152,13 @@ public:
 			return false;
 		}
 
-		msg_debug_bayes("processing tokens for statfile id=%d, results size=%uz, class=%s",
-						id, results->size(), stcf->class_name ? stcf->class_name : "unknown");
+		if (results->size() > 0) {
+			msg_debug_bayes("processing %uz tokens for statfile id=%d, class=%s",
+							results->size(), id, stcf->class_name ? stcf->class_name : "unknown");
+		}
 
 		for (auto [idx, val]: *results) {
 			tok = (rspamd_token_t *) g_ptr_array_index(tokens, idx - 1);
-			msg_debug_bayes("setting tok->values[%d] = %.2f for token idx %d (class=%s)",
-							id, val, idx, stcf->class_name ? stcf->class_name : "unknown");
 			tok->values[id] = val;
 		}
 
diff --git a/src/libstat/classifiers/bayes.c b/src/libstat/classifiers/bayes.c
index 3fd7190aeb..52613d6489 100644
--- a/src/libstat/classifiers/bayes.c
+++ b/src/libstat/classifiers/bayes.c
@@ -229,36 +229,7 @@ bayes_classify_token(struct rspamd_classifier *ctx,
 			token_type = "meta";
 		}
 
-		if (tok->t1 && tok->t2) {
-			msg_debug_bayes("token(%s) %uL <%*s:%*s>: weight: %f, cf: %f, "
-							"total_count: %ud, "
-							"spam_count: %ud, ham_count: %ud,"
-							"spam_prob: %.3f, ham_prob: %.3f, "
-							"bayes_spam_prob: %.3f, bayes_ham_prob: %.3f, "
-							"current spam probability: %.3f, current ham probability: %.3f",
-							token_type,
-							tok->data,
-							(int) tok->t1->stemmed.len, tok->t1->stemmed.begin,
-							(int) tok->t2->stemmed.len, tok->t2->stemmed.begin,
-							fw, w, total_count, spam_count, ham_count,
-							spam_prob, ham_prob,
-							bayes_spam_prob, bayes_ham_prob,
-							cl->spam_prob, cl->ham_prob);
-		}
-		else {
-			msg_debug_bayes("token(%s) %uL <?:?>: weight: %f, cf: %f, "
-							"total_count: %ud, "
-							"spam_count: %ud, ham_count: %ud,"
-							"spam_prob: %.3f, ham_prob: %.3f, "
-							"bayes_spam_prob: %.3f, bayes_ham_prob: %.3f, "
-							"current spam probability: %.3f, current ham probability: %.3f",
-							token_type,
-							tok->data,
-							fw, w, total_count, spam_count, ham_count,
-							spam_prob, ham_prob,
-							bayes_spam_prob, bayes_ham_prob,
-							cl->spam_prob, cl->ham_prob);
-		}
+		/* Per-token debug logging removed to reduce verbosity */
 	}
 }
 
@@ -347,14 +318,7 @@ bayes_classify_token_multiclass(struct rspamd_classifier *ctx,
 			cl->text_tokens++;
 		}
 
-		if (tok->t1 && tok->t2) {
-			msg_debug_bayes("token(%s) %uL <%*s:%*s>: weight: %.3f, total_count: %ud, "
-							"processed for %ud classes",
-							token_type, tok->data,
-							(int) tok->t1->stemmed.len, tok->t1->stemmed.begin,
-							(int) tok->t2->stemmed.len, tok->t2->stemmed.begin,
-							fw, total_count, cl->num_classes);
-		}
+		/* Per-token debug logging removed to reduce verbosity */
 	}
 }