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authorVsevolod Stakhov <vsevolod@highsecure.ru>2019-07-12 10:25:15 +0100
committerVsevolod Stakhov <vsevolod@highsecure.ru>2019-07-12 15:18:17 +0100
commit5f1ac2f30bae037c83b60704a6de4506f722ebfd (patch)
tree4475f474a5e83d4728ac599a31d6c0b97a500264 /src
parentffe51f25f39e94de2d4155d033f2c0946a2d7180 (diff)
downloadrspamd-5f1ac2f30bae037c83b60704a6de4506f722ebfd.tar.gz
rspamd-5f1ac2f30bae037c83b60704a6de4506f722ebfd.zip
[Project] Adopt libstat code
Diffstat (limited to 'src')
-rw-r--r--src/libstat/backends/sqlite3_backend.c3
-rw-r--r--src/libstat/classifiers/bayes.c14
-rw-r--r--src/libstat/learn_cache/redis_cache.c3
-rw-r--r--src/libstat/stat_process.c44
-rw-r--r--src/libstat/tokenizers/tokenizers.c15
5 files changed, 37 insertions, 42 deletions
diff --git a/src/libstat/backends/sqlite3_backend.c b/src/libstat/backends/sqlite3_backend.c
index a3d6ac9db..38f296177 100644
--- a/src/libstat/backends/sqlite3_backend.c
+++ b/src/libstat/backends/sqlite3_backend.c
@@ -387,8 +387,7 @@ rspamd_sqlite3_get_language (struct rspamd_stat_sqlite3_db *db,
lua_State *L = db->L;
if (db->cbref_language == -1) {
- for (i = 0; i < task->text_parts->len; i++) {
- tp = g_ptr_array_index (task->text_parts, i);
+ PTR_ARRAY_FOREACH (MESSAGE_FIELD (task, text_parts), i, tp) {
if (tp->language != NULL && tp->language[0] != '\0' &&
strcmp (tp->language, "en") != 0) {
diff --git a/src/libstat/classifiers/bayes.c b/src/libstat/classifiers/bayes.c
index eca94156c..38e82d187 100644
--- a/src/libstat/classifiers/bayes.c
+++ b/src/libstat/classifiers/bayes.c
@@ -379,10 +379,9 @@ bayes_classify (struct rspamd_classifier * ctx,
if (isfinite (s) && isfinite (h)) {
final_prob = (s + 1.0 - h) / 2.;
msg_debug_bayes (
- "<%s> got ham prob %.2f -> %.2f and spam prob %.2f -> %.2f,"
+ "got ham prob %.2f -> %.2f and spam prob %.2f -> %.2f,"
" %L tokens processed of %ud total tokens;"
" %uL text tokens found of %ud text tokens)",
- task->message_id,
cl.ham_prob,
h,
cl.spam_prob,
@@ -399,18 +398,17 @@ bayes_classify (struct rspamd_classifier * ctx,
*/
if (isfinite (h)) {
final_prob = 1.0;
- msg_debug_bayes ("<%s> spam class is overflowed, as we have no"
- " ham samples", task->message_id);
+ msg_debug_bayes ("spam class is overflowed, as we have no"
+ " ham samples");
}
else if (isfinite (s)) {
final_prob = 0.0;
- msg_debug_bayes ("<%s> ham class is overflowed, as we have no"
- " spam samples", task->message_id);
+ msg_debug_bayes ("ham class is overflowed, as we have no"
+ " spam samples");
}
else {
final_prob = 0.5;
- msg_warn_bayes ("<%s> spam and ham classes are both overflowed",
- task->message_id);
+ msg_warn_bayes ("spam and ham classes are both overflowed");
}
}
diff --git a/src/libstat/learn_cache/redis_cache.c b/src/libstat/learn_cache/redis_cache.c
index 2313db0b2..82c354bb6 100644
--- a/src/libstat/learn_cache/redis_cache.c
+++ b/src/libstat/learn_cache/redis_cache.c
@@ -23,6 +23,7 @@
#include "hiredis.h"
#include "adapters/libev.h"
#include "lua/lua_common.h"
+#include "libmime/message.h"
#define REDIS_DEFAULT_TIMEOUT 0.5
#define REDIS_STAT_TIMEOUT 30
@@ -153,7 +154,7 @@ rspamd_stat_cache_redis_get (redisAsyncContext *c, gpointer r, gpointer priv)
(val < 0 && (task->flags & RSPAMD_TASK_FLAG_LEARN_HAM))) {
/* Already learned */
msg_info_task ("<%s> has been already "
- "learned as %s, ignore it", task->message_id,
+ "learned as %s, ignore it", MESSAGE_FIELD (task, message_id),
(task->flags & RSPAMD_TASK_FLAG_LEARN_SPAM) ? "spam" : "ham");
task->flags |= RSPAMD_TASK_FLAG_ALREADY_LEARNED;
}
diff --git a/src/libstat/stat_process.c b/src/libstat/stat_process.c
index e8e08f6d1..034e1a5be 100644
--- a/src/libstat/stat_process.c
+++ b/src/libstat/stat_process.c
@@ -131,9 +131,7 @@ rspamd_stat_process_tokenize (struct rspamd_stat_ctx *st_ctx,
g_assert (st_ctx != NULL);
- for (i = 0; i < task->text_parts->len; i++) {
- part = g_ptr_array_index (task->text_parts, i);
-
+ PTR_ARRAY_FOREACH (MESSAGE_FIELD (task, text_parts), i, part) {
if (!IS_PART_EMPTY (part) && part->utf_words != NULL) {
reserved_len += part->utf_words->len;
}
@@ -146,9 +144,7 @@ rspamd_stat_process_tokenize (struct rspamd_stat_ctx *st_ctx,
rspamd_ptr_array_free_hard, task->tokens);
pdiff = rspamd_mempool_get_variable (task->task_pool, "parts_distance");
- for (i = 0; i < task->text_parts->len; i ++) {
- part = g_ptr_array_index (task->text_parts, i);
-
+ PTR_ARRAY_FOREACH (MESSAGE_FIELD (task, text_parts), i, part) {
if (!IS_PART_EMPTY (part) && part->utf_words != NULL) {
st_ctx->tokenizer->tokenize_func (st_ctx, task,
part->utf_words, IS_PART_UTF (part),
@@ -382,9 +378,8 @@ rspamd_stat_classifiers_process (struct rspamd_stat_ctx *st_ctx,
if (!skip) {
if (cl->cfg->min_tokens > 0 && task->tokens->len < cl->cfg->min_tokens) {
msg_debug_bayes (
- "<%s> contains less tokens than required for %s classifier: "
+ "contains less tokens than required for %s classifier: "
"%ud < %ud",
- task->message_id,
cl->cfg->name,
task->tokens->len,
cl->cfg->min_tokens);
@@ -392,9 +387,8 @@ rspamd_stat_classifiers_process (struct rspamd_stat_ctx *st_ctx,
}
else if (cl->cfg->max_tokens > 0 && task->tokens->len > cl->cfg->max_tokens) {
msg_debug_bayes (
- "<%s> contains more tokens than allowed for %s classifier: "
+ "contains more tokens than allowed for %s classifier: "
"%ud > %ud",
- task->message_id,
cl->cfg->name,
task->tokens->len,
cl->cfg->max_tokens);
@@ -474,7 +468,7 @@ rspamd_stat_cache_check (struct rspamd_stat_ctx *st_ctx,
if (learn_res == RSPAMD_LEARN_INGORE) {
/* Do not learn twice */
g_set_error (err, rspamd_stat_quark (), 404, "<%s> has been already "
- "learned as %s, ignore it", task->message_id,
+ "learned as %s, ignore it", MESSAGE_FIELD (task, message_id),
spam ? "spam" : "ham");
task->flags |= RSPAMD_TASK_FLAG_ALREADY_LEARNED;
@@ -522,7 +516,7 @@ rspamd_stat_classifiers_learn (struct rspamd_stat_ctx *st_ctx,
*err == NULL) {
/* Do not learn twice */
g_set_error (err, rspamd_stat_quark (), 208, "<%s> has been already "
- "learned as %s, ignore it", task->message_id,
+ "learned as %s, ignore it", MESSAGE_FIELD (task, message_id),
spam ? "spam" : "ham");
return FALSE;
@@ -545,10 +539,10 @@ rspamd_stat_classifiers_learn (struct rspamd_stat_ctx *st_ctx,
msg_info_task (
"<%s> contains less tokens than required for %s classifier: "
"%ud < %ud",
- task->message_id,
- cl->cfg->name,
- task->tokens->len,
- cl->cfg->min_tokens);
+ MESSAGE_FIELD (task, message_id),
+ cl->cfg->name,
+ task->tokens->len,
+ cl->cfg->min_tokens);
too_small = TRUE;
continue;
}
@@ -556,10 +550,10 @@ rspamd_stat_classifiers_learn (struct rspamd_stat_ctx *st_ctx,
msg_info_task (
"<%s> contains more tokens than allowed for %s classifier: "
"%ud > %ud",
- task->message_id,
- cl->cfg->name,
- task->tokens->len,
- cl->cfg->max_tokens);
+ MESSAGE_FIELD (task, message_id),
+ cl->cfg->name,
+ task->tokens->len,
+ cl->cfg->max_tokens);
too_large = TRUE;
continue;
}
@@ -633,7 +627,7 @@ rspamd_stat_classifiers_learn (struct rspamd_stat_ctx *st_ctx,
g_set_error (err, rspamd_stat_quark (), 204,
"<%s> contains more tokens than allowed for %s classifier: "
"%d > %d",
- task->message_id,
+ MESSAGE_FIELD (task, message_id),
sel->cfg->name,
task->tokens->len,
sel->cfg->max_tokens);
@@ -642,7 +636,7 @@ rspamd_stat_classifiers_learn (struct rspamd_stat_ctx *st_ctx,
g_set_error (err, rspamd_stat_quark (), 204,
"<%s> contains less tokens than required for %s classifier: "
"%d < %d",
- task->message_id,
+ MESSAGE_FIELD (task, message_id),
sel->cfg->name,
task->tokens->len,
sel->cfg->min_tokens);
@@ -651,7 +645,7 @@ rspamd_stat_classifiers_learn (struct rspamd_stat_ctx *st_ctx,
g_set_error (err, rspamd_stat_quark (), 204,
"<%s> is skipped for %s classifier: "
"%s",
- task->message_id,
+ MESSAGE_FIELD (task, message_id),
sel->cfg->name,
cond_str ? cond_str : "unknown reason");
}
@@ -1060,14 +1054,14 @@ rspamd_stat_check_autolearn (struct rspamd_task *task)
msg_info_task ("<%s>: autolearn ham for classifier "
"'%s' as message's "
"score is negative: %.2f",
- task->message_id, cl->cfg->name,
+ MESSAGE_FIELD (task, message_id), cl->cfg->name,
mres->score);
}
else {
msg_info_task ("<%s>: autolearn spam for classifier "
"'%s' as message's "
"action is reject, score: %.2f",
- task->message_id, cl->cfg->name,
+ MESSAGE_FIELD (task, message_id), cl->cfg->name,
mres->score);
}
diff --git a/src/libstat/tokenizers/tokenizers.c b/src/libstat/tokenizers/tokenizers.c
index f69378f9b..550ed2097 100644
--- a/src/libstat/tokenizers/tokenizers.c
+++ b/src/libstat/tokenizers/tokenizers.c
@@ -567,14 +567,15 @@ rspamd_tokenize_meta_words (struct rspamd_task *task)
guint i = 0;
rspamd_stat_token_t *tok;
- if (task->subject) {
- rspamd_add_metawords_from_str (task->subject, strlen (task->subject), task);
+ if (MESSAGE_FIELD (task, subject)) {
+ rspamd_add_metawords_from_str (MESSAGE_FIELD (task, subject),
+ strlen (MESSAGE_FIELD (task, subject)), task);
}
- if (task->from_mime && task->from_mime->len > 0) {
+ if (MESSAGE_FIELD (task, from_mime) && MESSAGE_FIELD (task, from_mime)->len > 0) {
struct rspamd_email_address *addr;
- addr = g_ptr_array_index (task->from_mime, 0);
+ addr = g_ptr_array_index (MESSAGE_FIELD (task, from_mime), 0);
if (addr->name) {
rspamd_add_metawords_from_str (addr->name, strlen (addr->name), task);
@@ -584,8 +585,10 @@ rspamd_tokenize_meta_words (struct rspamd_task *task)
if (task->meta_words != NULL) {
const gchar *language = NULL;
- if (task->text_parts && task->text_parts->len > 0) {
- struct rspamd_mime_text_part *tp = g_ptr_array_index (task->text_parts, 0);
+ if (MESSAGE_FIELD (task, text_parts) &&
+ MESSAGE_FIELD (task, text_parts)->len > 0) {
+ struct rspamd_mime_text_part *tp = g_ptr_array_index (
+ MESSAGE_FIELD (task, text_parts), 0);
if (tp->language) {
language = tp->language;