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MxChat – AI Chatbot & Content Generation for WordPress / 3.1.5
MxChat – AI Chatbot & Content Generation for WordPress v3.1.5
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← All changes | includes/class-mxchat-utils.php +21 -79 3.2.43.1.5 View file →
@@ -5,51 +5,8 @@
5 5
6 6 class MxChat_Utils {
7 7
8 8 /**
9 - * Centralized embedding model registry. Single source of truth for dimensions
10 - * and provider, so model-switch protection logic doesn't drift across files.
11 - */
12 -public static function embedding_model_registry() {
13 - return array(
14 - 'text-embedding-ada-002' => array('dims' => 1536, 'provider' => 'openai', 'label' => 'Ada 2'),
15 - 'text-embedding-3-small' => array('dims' => 1536, 'provider' => 'openai', 'label' => 'TE3 Small'),
16 - 'text-embedding-3-large' => array('dims' => 3072, 'provider' => 'openai', 'label' => 'TE3 Large'),
17 - 'voyage-3-large' => array('dims' => 2048, 'provider' => 'voyage', 'label' => 'Voyage-3 Large'),
18 - 'gemini-embedding-001' => array('dims' => 1536, 'provider' => 'gemini', 'label' => 'Gemini Embedding'),
19 - );
20 -}
21 -
22 -public static function embedding_model_dimensions($model) {
23 - $registry = self::embedding_model_registry();
24 - return isset($registry[$model]) ? (int) $registry[$model]['dims'] : 0;
25 -}
26 -
27 -public static function embedding_model_label($model) {
28 - $registry = self::embedding_model_registry();
29 - return isset($registry[$model]) ? $registry[$model]['label'] : $model;
30 -}
31 -
32 -/**
33 - * Returns the model that was last used to actually write embeddings into the
34 - * KB. Differs from the user-selected setting once a switch has happened but
35 - * no re-embed has occurred yet — that's the mismatch state we warn about.
36 - */
37 -public static function get_active_embedding_model() {
38 - return get_option('mxchat_active_embedding_model', '');
39 -}
40 -
41 -/**
42 - * Stamp the model that produced the most recent successful embedding. Called
43 - * from generate_embedding() right after the API responds with a valid vector.
44 - */
45 -public static function stamp_active_embedding_model($model) {
46 - if (!empty($model) && $model !== self::get_active_embedding_model()) {
47 - update_option('mxchat_active_embedding_model', $model, false);
48 - }
49 -}
50 -
51 -/**
52 9 * UPDATED: Submit or update content (and its embedding) in the database.
53 10 * Stores in Pinecone if enabled, otherwise stores in WordPress DB.
54 11 *
55 12 * @param string $content The content to be embedded.
@@ -224,11 +181,9 @@
224 181 // Check if this is truly manual content (no URL at all) vs a real URL that filter_var rejects
225 182 // filter_var(FILTER_VALIDATE_URL) rejects valid URLs with encoded chars, non-ASCII, fragments, etc.
226 183 // Use a looser check: if it starts with http(s):// or has a scheme, it's a URL
227 184 $has_url_scheme = !empty($source_url) && preg_match('#^https?://#i', $source_url);
228 - // Treat legacy mxchat.ai source URLs as manual — old bug assigned the site URL to manual entries
229 - $is_legacy_mxchat_url = $has_url_scheme && strpos($source_url, 'mxchat.ai') !== false;
230 - $is_manual_content = empty($source_url) || $source_url === '' || !$has_url_scheme || $is_legacy_mxchat_url;
185 + $is_manual_content = empty($source_url) || $source_url === '' || !$has_url_scheme;
231 186
232 187 if ($is_manual_content) {
233 188 // Generate unique identifier for manual content to prevent overwrites
234 189 $source_url = 'mxchat://manual-content/' . time() . '-' . wp_generate_password(8, false);
@@ -414,9 +369,9 @@
414 369 'source_url' => $url, // Can be empty for manual content
415 370 'type' => $content_type, // Now supports: post, page, pdf, url, manual, product, etc.
416 371 'last_updated' => time(),
417 372 'created_at' => time(), // Add creation timestamp
418 - 'bot_id' => $bot_id, // Add bot identification
373 + 'bot_id' => $bot_id // Add bot identification
419 374 );
420 375
421 376 $vector_data = array(
422 377 'id' => $vector_id,
@@ -564,9 +519,8 @@
564 519 // Handle different response formats based on provider
565 520 if (strpos($selected_model, 'gemini-embedding') === 0) {
566 521 // Gemini API response format
567 522 if (isset($response_body['embedding']['values']) && is_array($response_body['embedding']['values'])) {
568 - self::stamp_active_embedding_model($selected_model);
569 523 return $response_body['embedding']['values'];
570 524 } else {
571 525 //error_log('Invalid response received from Gemini embedding API for bot ' . $bot_id . ': ' . wp_json_encode($response_body));
572 526 return null;
@@ -573,9 +527,8 @@
573 527 }
574 528 } else {
575 529 // OpenAI/Voyage API response format
576 530 if (isset($response_body['data'][0]['embedding']) && is_array($response_body['data'][0]['embedding'])) {
577 - self::stamp_active_embedding_model($selected_model);
578 531 return $response_body['data'][0]['embedding'];
579 532 } else {
580 533 //error_log('Invalid response received from embedding API for bot ' . $bot_id . ': ' . wp_json_encode($response_body));
581 534 return null;
@@ -731,9 +684,9 @@
731 684 'total_chunks' => $chunk_metadata['total_chunks'],
732 685 'parent_url_hash' => $chunk_metadata['parent_url_hash'],
733 686 'last_updated' => time(),
734 687 'created_at' => time(),
735 - 'bot_id' => $bot_id,
688 + 'bot_id' => $bot_id
736 689 );
737 690
738 691 $vector_data = array(
739 692 'id' => $vector_id,
@@ -849,34 +802,31 @@
849 802
850 803 // Add the original single-vector ID (for non-chunked content)
851 804 $vectors_to_delete[] = $base_vector_id;
852 805
853 - // Pinecone /vectors/list is a GET endpoint with query-string parameters; a POST here returns a
854 - // non-200 silently and we end up only deleting the base vector, leaving chunks orphaned.
855 - $query_params = array(
806 + // Use Pinecone list API to find all chunk vectors with this prefix
807 + $list_url = "https://{$host}/vectors/list";
808 +
809 + $list_body = array(
856 810 'prefix' => $base_vector_id . '_chunk_',
857 - 'limit' => 100,
811 + 'limit' => 100
858 812 );
813 +
859 814 if (!empty($namespace)) {
860 - $query_params['namespace'] = $namespace;
815 + $list_body['namespace'] = $namespace;
861 816 }
862 817
863 - $list_url = "https://{$host}/vectors/list?" . http_build_query($query_params);
818 + $list_response = wp_remote_post($list_url, array(
819 + 'headers' => array(
820 + 'Api-Key' => $api_key,
821 + 'accept' => 'application/json',
822 + 'content-type' => 'application/json'
823 + ),
824 + 'body' => wp_json_encode($list_body),
825 + 'timeout' => 30
826 + ));
864 827
865 - // Paginate in case a URL has more than 100 chunks.
866 - do {
867 - $list_response = wp_remote_get($list_url, array(
868 - 'headers' => array(
869 - 'Api-Key' => $api_key,
870 - 'accept' => 'application/json',
871 - ),
872 - 'timeout' => 30,
873 - ));
874 -
875 - if (is_wp_error($list_response) || wp_remote_retrieve_response_code($list_response) !== 200) {
876 - break;
877 - }
878 -
828 + if (!is_wp_error($list_response)) {
879 829 $list_data = json_decode(wp_remote_retrieve_body($list_response), true);
880 830 if (!empty($list_data['vectors'])) {
881 831 foreach ($list_data['vectors'] as $vector) {
882 832 if (isset($vector['id'])) {
@@ -883,17 +833,9 @@
883 833 $vectors_to_delete[] = $vector['id'];
884 834 }
885 835 }
886 836 }
887 -
888 - $next_token = $list_data['pagination']['next'] ?? '';
889 - if (empty($next_token)) {
890 - break;
891 - }
892 -
893 - $query_params['paginationToken'] = $next_token;
894 - $list_url = "https://{$host}/vectors/list?" . http_build_query($query_params);
895 - } while (true);
837 + }
896 838
897 839 if (empty($vectors_to_delete)) {
898 840 //error_log('[MXCHAT-CHUNK-DELETE] No vectors found to delete');
899 841 return true;