/** * Dynamic functions class */ // If this file is called directly, abort.x if ( ! defined( 'WPINC' ) ) { die; } if ( ! class_exists( 'Jet_Engine_Dynamic_Functions' ) ) { class Jet_Engine_Dynamic_Functions { private $functions_list = array(); private $cache_group = 'jet_engine_dynamic_functions'; public function __construct() { $number_format_settings = array( 'decimal_point' => array( 'label' => __( 'Decimals Point', 'jet-engine' ), 'type' => 'text', 'default' => '.', ), 'thousands_separator' => array( 'label' => __( 'Thousands separator', 'jet-engine' ), 'type' => 'text', 'default' => ',', ), 'decimal_count' => array( 'label' => __( 'Decimals Count', 'jet-engine' ), 'type' => 'number', 'default' => 0, 'min' => 0, 'max' => 5, ), ); $this->functions_list = apply_filters( 'jet-engine/dynamic-functions/functions-list', array( 'sum' => array( 'label' => __( 'Summed value', 'jet-engine' ), 'type' => 'sql', // sql or raw 'query' => 'SUM( CAST( meta_value AS DECIMAL( 10, %decimal_count% ) ) )', 'cb' => array( $this, 'number_format' ), 'custom_settings' => $number_format_settings, ), 'avg' => array( 'label' => __( 'Average value', 'jet-engine' ), 'type' => 'sql', 'query' => 'ROUND( AVG( CAST( meta_value AS DECIMAL( 10, %decimal_count% ) ) ), %decimal_count% )', 'cb' => array( $this, 'number_format' ), 'custom_settings' => $number_format_settings, ), 'count' => array( 'label' => __( 'Count', 'jet-engine' ), 'type' => 'sql', 'query' => 'COUNT(meta_value)', 'cb' => false, ), 'max' => array( 'label' => __( 'Maximum value', 'jet-engine' ), 'type' => 'sql', 'query' => 'MAX( CAST( meta_value AS DECIMAL( 10, %decimal_count% ) ) )', 'cb' => array( $this, 'number_format' ), 'custom_settings' => $number_format_settings, ), 'min' => array( 'label' => __( 'Minimum value', 'jet-engine' ), 'type' => 'sql', 'query' => 'MIN( CAST( meta_value AS DECIMAL( 10, %decimal_count% ) ) )', 'cb' => array( $this, 'number_format' ), 'custom_settings' => $number_format_settings, ), 'query_var' => array( 'label' => __( 'SQL query results', 'jet-engine' ), 'type' => 'query_var', 'query' => false, 'cb' => array( $this, 'number_format' ), 'custom_settings' => $number_format_settings, 'custom_settings_cb' => array( $this, 'get_query_settings' ), ), ) ); add_filter( 'jet-engine/blocks-views/dynamic-content/data-sources', array( $this, 'register_blocks_dynamic_source' ) ); add_filter( 'jet-engine/blocks-views/editor-data', array( $this, 'register_blocks_controls' ) ); add_filter( 'jet-engine/blocks-views/dynamic-content/get-dynamic-value/dynamic_function', array( $this, 'get_block_dynamic_value' ), 10, 2 ); } /** * Register Dynamic function source for blocks dynamic data. * * @param [type] $sources [description] * @return [type] [description] */ public function register_blocks_dynamic_source( $sources ) { $sources[] = array( 'value' => 'dynamic_function', 'label' => __( 'Dynamic function', 'jet-engine' ), ); return $sources; } /** * Get block dyanmic value * * @param [type] $result [description] * @param [type] $data [description] * @return [type] [description] */ public function get_block_dynamic_value( $result, $data ) { $prepared_data = array(); $prefix = 'dynamic_functions_'; foreach ( $data as $key => $value ) { if ( false !== strpos( $key, $prefix ) ) { $prepared_data[ str_replace( $prefix, '', $key ) ] = $value; } } $function_name = \Jet_Engine_Tools::safe_get( 'function_name', $prepared_data ); $source = \Jet_Engine_Tools::safe_get( 'data_source', $prepared_data ); $field_name = \Jet_Engine_Tools::safe_get( 'field_name', $prepared_data ); if ( ! $source ) { $source = 'post_meta'; } $data_source = array( 'source' => $source ); if ( empty( $function_name ) ) { return; } if ( 'post_meta' === $source ) { $data_source['context'] = \Jet_Engine_Tools::safe_get( 'data_context', $prepared_data , 'all_posts' ); $data_source['context_tax'] = \Jet_Engine_Tools::safe_get( 'data_context_tax', $prepared_data ); $data_source['context_tax_term'] = \Jet_Engine_Tools::safe_get( 'data_context_tax_term', $prepared_data ); $data_source['context_user_id'] = \Jet_Engine_Tools::safe_get( 'data_context_user_id', $prepared_data ); $data_source['context_relation'] = \Jet_Engine_Tools::safe_get( 'data_context_relation', $prepared_data ); $data_source['post_status'] = \Jet_Engine_Tools::safe_get( 'data_post_status', $prepared_data ); $data_source['post_types'] = \Jet_Engine_Tools::safe_get( 'data_post_types', $prepared_data ); } $custom_settings = $this->get_custom_settings( $function_name, null, $prepared_data ); $result = $this->call_function( $function_name, $data_source, $field_name, $custom_settings ); return $result; } /** * Register denamic functions related controls for the blocks editor * * @param [type] $editor_config [description] * @return [type] [description] */ public function register_blocks_controls( $editor_config ) { $editor_config['dynamicFunctionsControls'] = $this->get_editor_controls( 'blocks' ); return $editor_config; } /** * Returns functions list for options */ public function functions_list() { $result = array(); foreach ( $this->functions_list as $func_key => $func_data ) { $result[ $func_key ] = ! empty( $func_data['label'] ) ? $func_data['label'] : $func_key; } return $result; } public function get_query_settings() { $queries = \Jet_Engine\Query_Builder\Manager::instance()->get_queries(); $options = array(); $sql_queries = array(); if ( ! empty( $queries ) ) { foreach( $queries as $query ) { if ( ! $query || ! is_object( $query ) ) { continue; } if ( 'sql' === $query->query_type ) { $sql_queries[] = $query; } } } if ( empty( $sql_queries ) ) { $options['no_query_notice'] = array( 'type' => 'raw_html', 'raw' => sprintf( esc_html__( 'With this function you can output any data from custom SQL query. To start, please %s', 'jet-elements' ), '' . esc_html__( 'create your query', 'jet-elements' ) . '' ) ); } $columns = array(); foreach ( $sql_queries as $query ) { $fields = $query->get_instance_fields(); $prepared_fields = array(); foreach ( $fields as $field ) { $prepared_fields[ $query->get_instance_id() . '::' . $field ] = $field; } $columns[] = array( 'label' => $query->get_instance_name(), 'options' => $prepared_fields, ); } $options['_query_field'] = array( 'label' => __( 'Query Column', 'jet-engine' ), 'description' => __( 'Select column from the query to show', 'jet-engine' ), 'type' => 'select', 'groups' => $columns, ); $options['_additional_function'] = array( 'label' => __( 'Additional Function', 'jet-engine' ), 'description' => __( 'Apply additional function to SQL query', 'jet-engine' ), 'type' => 'select', 'options' => array( '' => __( 'Select...', 'jet-engine' ), 'SUM' => __( 'Sum', 'jet-engine' ), 'AVG' => __( 'Average', 'jet-engine' ), 'COUNT' => __( 'Count', 'jet-engine' ), 'MIN' => __( 'Minimum', 'jet-engine' ), 'MAX' => __( 'Maximum', 'jet-engine' ), ), ); return $options; } public function get_relations_for_options() { $result = array( '' => __( 'Select...', 'jet-engine' ), ); $relations = jet_engine()->relations->get_relations_for_js(); if ( ! empty( $relations ) ) { foreach ( $relations as $relations ) { $result[ $relations['value'] ] = $relations['label']; } } return $result; } /** * Returns all taxonomies list for options * * @return [type] [description] */ public function get_taxonomies_for_options() { $result = array(); $taxonomies = get_taxonomies( array( 'public' => true ), 'objects' ); foreach ( $taxonomies as $taxonomy ) { if ( empty( $taxonomy->object_type ) || ! is_array( $taxonomy->object_type ) ) { continue; } foreach ( $taxonomy->object_type as $object ) { if ( empty( $result[ $object ] ) ) { $post_type = get_post_type_object( $object ); if ( ! $post_type ) { continue; } $result[ $object ] = array( 'label' => $post_type->labels->name, 'options' => array(), ); } $result[ $object ]['options'][ $taxonomy->name ] = $taxonomy->labels->name; }; } return $result; } /** * Returns editor controls for Elementor or Blocks editor * * @param string $for [description] * @return [type] [description] */ public function get_editor_controls( $for = 'elementor' ) { $controls = array(); $functions_list = array_reverse( $this->functions_list ); $controls['function_name'] = array( 'label' => __( 'Function', 'jet-engine' ), 'type' => 'select', 'add_placeholder' => __( 'Select...', 'jet-engine' ), 'options' => $this->functions_list(), ); $controls['data_source'] = array( 'label' => __( 'Data Source', 'jet-engine' ), 'type' => 'select', 'add_placeholder' => __( 'Select...', 'jet-engine' ), 'options' => array( 'post_meta' => __( 'Post Meta', 'jet-engine' ), 'term_meta' => __( 'Term Meta', 'jet-engine' ), 'user_meta' => __( 'User Meta', 'jet-engine' ), ), 'description' => __( 'Please note: if you used Custom Meta Storage feature for meta data you want to get with Dynamic Functions, you need to use SQL Query Results function type', 'jet-engine' ), 'condition' => array( 'function_name!' => 'query_var', ), ); $controls['field_name'] = array( 'label' => __( 'Field Name', 'jet-engine' ), 'type' => 'text', 'label_block' => true, 'condition' => array( 'function_name!' => 'query_var', ), ); $controls['data_context'] = array( 'label' => __( 'Data Context', 'jet-engine' ), 'type' => 'select', 'default' => 'all_posts', 'add_placeholder' => __( 'Select...', 'jet-engine' ), 'options' => array( 'all_posts' => __( 'All posts', 'jet-engine' ), 'current_term' => __( 'Posts from current term', 'jet-engine' ), 'current_user' => __( 'Posts by current user', 'jet-engine' ), 'queried_user' => __( 'Posts by queried user', 'jet-engine' ), 'related_posts' => __( 'Related posts for current post', 'jet-engine' ), ), 'condition' => array( 'data_source' => 'post_meta', 'function_name!' => 'query_var', ), ); $controls['data_context_relation'] = array( 'label' => __( 'Relation', 'jet-engine' ), 'type' => 'select', 'options' => $this->get_relations_for_options(), 'condition' => array( 'data_source' => 'post_meta', 'data_context' => 'related_posts', 'function_name!' => 'query_var', ), ); $controls['data_context_relation_object'] = array( 'label' => __( 'From Object (what to show)', 'jet-engine' ), 'type' => 'select', 'options' => array( 'parent_object' => __( 'Parent Object', 'jet-engine' ), 'child_object' => __( 'Child Object', 'jet-engine' ), ), 'default' => 'child_object', 'condition' => array( 'data_source' => 'post_meta', 'data_context' => 'related_posts', 'function_name!' => 'query_var', ), ); $controls['data_context_tax'] = array( 'label' => __( 'Taxonomy', 'jet-engine' ), 'type' => 'select', 'groups' => $this->get_taxonomies_for_options(), 'add_placeholder' => __( 'Select...', 'jet-engine' ), 'condition' => array( 'data_source' => 'post_meta', 'data_context' => 'current_term', 'function_name!' => 'query_var', ), ); $controls['data_context_tax_term'] = array( 'label' => __( 'Set term ID/slug', 'jet-engine' ), 'type' => 'text', 'label_block' => true, 'description' => __( 'Leave empty to get term dynamically. Use prefix slug:: to set term by slug instead of ID, for example - slug::term-slug', 'jet-engine' ), 'has_html' => true, 'condition' => array( 'data_source' => 'post_meta', 'data_context' => 'current_term', 'function_name!' => 'query_var', ), ); $controls['data_context_user_id'] = array( 'label' => __( 'Set user ID/login/email', 'jet-engine' ), 'type' => 'text', 'label_block' => true, 'description' => __( 'Leave empty to get user ID dynamically. Use prefixes login:: or email:: to set user by login or email instead of ID, for example - email::admin@demolink.org', 'jet-engine' ), 'has_html' => true, 'condition' => array( 'data_source' => 'post_meta', 'data_context' => 'queried_user', 'function_name!' => 'query_var', ), ); $controls['data_post_status'] = array( 'label' => __( 'Query by posts with status', 'jet-engine' ), 'description' => __( 'Leave empy to search anywhere', 'jet-engine' ), 'type' => 'select2', 'default' => '', 'label_block' => true, 'multiple' => true, 'add_placeholder' => __( 'Select...', 'jet-engine' ), 'options' => array( 'publish' => __( 'Publish', 'jet-engine' ), 'pending' => __( 'Pending', 'jet-engine' ), 'draft' => __( 'Draft', 'jet-engine' ), 'auto-draft' => __( 'Auto draft', 'jet-engine' ), 'future' => __( 'Future', 'jet-engine' ), 'private' => __( 'Private', 'jet-engine' ), 'trash' => __( 'Trash', 'jet-engine' ), 'any' => __( 'Any', 'jet-engine' ), ), 'condition' => array( 'data_source' => 'post_meta', 'function_name!' => 'query_var', ), ); $controls['data_post_types'] = array( 'label' => esc_html__( 'Query by posts with types', 'jet-engine' ), 'description' => __( 'Leave empy to search anywhere', 'jet-engine' ), 'type' => 'select2', 'label_block' => true, 'add_placeholder' => __( 'Select...', 'jet-engine' ), 'multiple' => true, 'options' => jet_engine()->listings->get_post_types_for_options(), 'condition' => array( 'data_source' => 'post_meta', 'function_name!' => 'query_var', ), ); foreach ( $functions_list as $func_name => $data ) { $custom_settings = array(); if ( ! empty( $data['custom_settings_cb'] ) && is_callable( $data['custom_settings_cb'] ) ) { $custom_settings = array_merge( $custom_settings, call_user_func( $data['custom_settings_cb'] ) ); } if ( ! empty( $data['custom_settings'] ) ) { $custom_settings = array_merge( $custom_settings, $data['custom_settings'] ); } if ( ! empty( $custom_settings ) ) { foreach ( $custom_settings as $setting_key => $setting_data ) { if ( empty( $controls[ $setting_key ] ) ) { $setting_data['condition'] = array( 'function_name' => array( $func_name ), ); $controls[ $setting_key ] = $setting_data; } else { $controls[ $setting_key ]['condition']['function_name'][] = $func_name; } } } } if ( 'blocks' === $for ) { $controls = \Jet_Engine_Tools::prepare_controls_for_js( $controls ); } return $controls; } /** * Allow to register custom settings to each function */ public function register_custom_settings( $tag ) { $controls = $this->get_editor_controls(); if ( ! empty( $controls ) ) { foreach ( $controls as $control_key => $control_data ) { $tag->add_control( $control_key, $control_data ); } } } /** * Allow to get custom settings to each function */ public function get_custom_settings( $function, $tag, $all_settings = array() ) { $settings = array(); $custom_settings = array(); $data = ! empty( $this->functions_list[ $function ] ) ? $this->functions_list[ $function ] : array(); if ( ! empty( $data['custom_settings_cb'] ) && is_callable( $data['custom_settings_cb'] ) ) { $custom_settings = array_merge( $custom_settings, call_user_func( $data['custom_settings_cb'] ) ); } if ( ! empty( $data['custom_settings'] ) ) { $custom_settings = array_merge( $custom_settings, $data['custom_settings'] ); } if ( empty( $this->functions_list[ $function ] ) || empty( $custom_settings ) ) { return $settings; } $required_sql_settings = array( 'decimal_count' ); foreach ( $custom_settings as $setting_key => $setting_data ) { if ( $tag ) { $settings[ $setting_key ] = $tag->get_settings( $setting_key ); } else { $settings[ $setting_key ] = isset( $all_settings[ $setting_key ] ) ? $all_settings[ $setting_key ] : false; } // Added to prevent SQL error if required sql setting is empty. if ( in_array( $setting_key, $required_sql_settings ) && Jet_Engine_Tools::is_empty( $settings[ $setting_key ] ) && isset( $setting_data['default'] ) ) { $settings[ $setting_key ] = $setting_data['default']; } } return $settings; } /** * Call function by function name and arguments */ public function call_function( $function_name = null, $data_source = array(), $field_name = null, $custom_settings = array() ) { if ( empty( $this->functions_list[ $function_name ] ) ) { return null; } $func_data = $this->functions_list[ $function_name ]; $func_data['function'] = $function_name; $func_data['data_source'] = $data_source; $func_data['field_name'] = $field_name; $func_data['custom_settings'] = $custom_settings; if ( ! empty( $func_data['type'] ) ) { switch ( $func_data['type'] ) { case 'sql': return $this->call_sql_function( $func_data ); case 'query_var': return $this->get_query_var( $func_data ); default: return $this->call_raw_function( $func_data ); } } } public function get_query_var( $func_data ) { if ( empty( $func_data['custom_settings'] ) || empty( $func_data['custom_settings']['_query_field'] ) ) { return; } $query_data = explode( '::', $func_data['custom_settings']['_query_field'] ); $query_id = str_replace( '_query_', '', $query_data[0] ); $column = $query_data[1]; $query = \Jet_Engine\Query_Builder\Manager::instance()->get_query_by_id( $query_id ); if ( ! $query || 'sql' !== $query->query_type ) { return; } $func = ! empty( $func_data['custom_settings']['_additional_function'] ) ? $func_data['custom_settings']['_additional_function'] : false; $decimal_count = isset( $func_data['custom_settings']['decimal_count'] ) ? $func_data['custom_settings']['decimal_count'] : 0; $callback = ! empty( $func_data['cb'] ) ? $func_data['cb'] : false; $result = $query->get_var( $column, $func, $decimal_count ); if ( $callback && is_callable( $callback ) ) { return call_user_func( $callback, array( 'result' => $result, 'custom_settings' => $func_data['custom_settings'] ) ); } else { return $result; } } /** * Call plain PHP function */ public function call_raw_function( $func_data ) { $function = ! empty( $func_data['cb'] ) ? $func_data['cb'] : false; if ( ! $function || ! is_callable( $function ) ) { return null; } unset( $func_data['cb'] ); return call_user_func( $function, $func_data ); } /** * Call sql-query function */ public function call_sql_function( $data ) { $query = ! empty( $data['query'] ) ? $data['query'] : false; $where = ! empty( $data['where'] ) ? $data['where'] : false; $data_source = ! empty( $data['data_source'] ) ? $data['data_source'] : false; $field_name = ! empty( $data['field_name'] ) ? $data['field_name'] : false; if ( ! $field_name || ! $query ) { return null; } $table = false; global $wpdb; $source = ! empty( $data_source['source'] ) ? $data_source['source'] : 'post_meta'; switch ( $source ) { case 'post_meta': $table = $wpdb->postmeta; break; case 'term_meta': $table = $wpdb->termmeta; break; case 'user_meta': $table = $wpdb->usermeta; break; default: $table = apply_filters( 'jet-engine/dynamic-functions/custom-sql-table', $table, $data ); break; } if ( ! $table ) { return null; } if ( ! $where ) { $where = $wpdb->prepare( "WHERE $table.meta_key ='%s'", $field_name ); } if ( ! empty( $data['custom_settings'] ) ) { foreach ( $data['custom_settings'] as $key => $value ) { $query = str_replace( '%' . $key . '%', $value, $query ); $where = str_replace( '%' . $key . '%', $value, $where ); } } $posts_table = $wpdb->posts; $posts_query_join = " INNER JOIN $posts_table ON $table.post_id = $posts_table.ID "; $posts_join = ""; $posts_where = ""; if ( ! empty( $data_source['post_status'] ) ) { $posts_join = $posts_query_join; $posts_where .= " AND $posts_table.post_status"; $post_status = is_array( $data_source['post_status'] ) ? $data_source['post_status'] : array( $data_source['post_status'] ); if ( 1 === count( $post_status ) ) { $status = $post_status[0]; $posts_where .= " = '$status'"; } else { $statuses = array(); foreach ( $post_status as $status ) { $statuses[] = sprintf( "'%s'", $status ); } $statuses = implode( ', ', $statuses ); $posts_where .= " IN ($statuses)"; } } if ( ! empty( $data_source['post_types'] ) ) { if ( ! $posts_join ) { $posts_join = $posts_query_join; } $posts_where .= " AND $posts_table.post_type"; $post_types = is_array( $data_source['post_types'] ) ? $data_source['post_types'] : array( $data_source['post_types'] ); if ( 1 === count( $post_types ) ) { $type = $post_types[0]; $posts_where .= " = '$type'"; } else { $types = array(); foreach ( $post_types as $type ) { $types[] = sprintf( "'%s'", $type ); } $types = implode( ', ', $types ); $posts_where .= " IN ($types)"; } } $final_query = "SELECT $query FROM $table $posts_join $where $posts_where;"; if ( 'post_meta' === $source ) { switch ( $data_source['context'] ) { case 'current_term': $term_id = $this->get_current_term_id( $data_source ); if ( $term_id ) { $term_relationships = $wpdb->term_relationships; $final_query = "SELECT $query FROM $table $posts_join INNER JOIN $term_relationships ON $table.post_id = $term_relationships.object_id $where AND $term_relationships.term_taxonomy_id = $term_id $posts_where"; } break; case 'related_posts': $relation = ! empty( $data_source['context_relation'] ) ? $data_source['context_relation'] : false; $post = get_post(); $posts = false; if ( $relation && $post ) { $post_type = $post->post_type; $relation_data = jet_engine()->relations->legacy->get_relation_info( $relation ); if ( $relation_data ) { $from = ( $post_type === $relation_data['post_type_1'] ) ? $relation_data['post_type_2'] : $relation_data['post_type_1']; $posts = jet_engine()->relations->legacy->get_related_posts( array( 'post_type_1' => $relation_data['post_type_1'], 'post_type_2' => $relation_data['post_type_2'], 'hash' => $relation, 'from' => $from, ) ); } else { $from = ! empty( $data_source['data_context_relation_object'] ) ? $data_source['data_context_relation_object'] : 'child_object'; $object_id = jet_engine()->listings->data->get_current_object_id(); $relation_instance = jet_engine()->relations->get_active_relations( $relation ); if ( ! $relation_instance ) { return null; } switch ( $from ) { case 'parent_object': $posts = $relation_instance->get_parents( $object_id, 'ids' ); break; default: $posts = $relation_instance->get_children( $object_id, 'ids' ); break; } } if ( ! empty( $posts ) ) { $posts = implode( ', ', $posts ); } else { // If related posts not found - return null to avoid incorrect calculations return null; } $final_query = str_replace( ";", " AND $table.post_id IN ( $posts );", $final_query ); } break; case 'current_user': $user_id = get_current_user_id(); if ( $user_id ) { $posts = $wpdb->posts; $final_query = "SELECT $query FROM $table INNER JOIN $posts ON $table.post_id = $posts.ID $where AND $posts.post_author = $user_id $posts_where"; } break; case 'queried_user': $user_id = false; if ( ! empty( $data_source['context_user_id'] ) ) { $user = $data_source['context_user_id']; if ( false === strpos( $user, '::' ) ) { $user_id = absint( $user ); } else { $user_data = explode( '::', $user ); if ( ! empty( $user_data[0] ) && ! empty( $user_data[1] ) ) { $user_obj = get_user_by( $user_data[0], $user_data[1] ); } if ( $user_obj ) { $user_id = $user_obj->ID; } } } else { if ( is_author() ) { $user_id = get_queried_object_id(); } elseif ( jet_engine()->modules->is_module_active( 'profile-builder' ) ) { $user_id = \Jet_Engine\Modules\Profile_Builder\Module::instance()->query->get_queried_user_id(); } } if ( ! $user_id ) { $user_id = get_current_user_id(); } if ( $user_id ) { $posts = $wpdb->posts; $final_query = "SELECT $query FROM $table INNER JOIN $posts ON $table.post_id = $posts.ID $where AND $posts.post_author = $user_id $posts_where"; } break; } } $final_query = apply_filters( 'jet-engine/dynamic-functions/final-query', $final_query, $data, $this ); $hash = md5( $final_query ); $result = wp_cache_get( $hash, $this->cache_group ); if ( ! $result ) { $result = $wpdb->get_var( $final_query ); if ( ! empty( $data['cb'] ) ) { $data['result'] = $result; $cb_result = $this->call_raw_function( $data ); $result = ( null !== $cb_result ) ? $cb_result : $result; } wp_cache_set( $hash, $result, $this->cache_group ); } return $result; } /** * Get term ID for current context and settings */ public function get_current_term_id( $data_source ) { if ( ! empty( $data_source['context_tax_term'] ) ) { $term = $data_source['context_tax_term']; $term_id = false; if ( false === strpos( $term, 'slug::' ) ) { $term_id = absint( $term ); } elseif ( ! empty( $data_source['context_tax'] ) ) { $term = str_replace( 'slug::', '', $term ); $term_obj = get_term_by( 'slug', $term, $data_source['context_tax'] ); if ( $term_obj ) { $term_id = $term_obj->term_id; } } if ( $term_id ) { return $term_id; } } $listing_object = jet_engine()->listings->data->get_current_object(); $term_id = false; if ( $listing_object && 'WP_Term' === get_class( $listing_object ) ) { $term_id = $listing_object->term_id; } else { $queried_object = get_queried_object(); if ( $queried_object && isset( $queried_object->term_id ) ) { $term_id = $queried_object->term_id; } elseif ( $listing_object && 'WP_Post' === get_class( $listing_object ) && ! empty( $data_source['context_tax'] ) ) { $post_id = $listing_object->ID; $terms = wp_get_post_terms( $post_id, $data_source['context_tax'], array( 'fields' => 'ids' ) ); if ( ! is_wp_error( $terms ) && ! empty( $terms ) ) { $term_id = $terms[0]; } } } return $term_id; } /** * Number format. * * @param array $data * @return string|null */ public function number_format( $data = array() ) { if ( ! isset( $data['result'] ) ) { return null; } $decimal_point = isset( $data['custom_settings']['decimal_point'] ) ? $data['custom_settings']['decimal_point'] : '.'; $thousands_sep = isset( $data['custom_settings']['thousands_separator'] ) ? $data['custom_settings']['thousands_separator'] : ','; $decimal_count = isset( $data['custom_settings']['decimal_count'] ) ? $data['custom_settings']['decimal_count'] : 0; return number_format( $data['result'], $decimal_count, $decimal_point, $thousands_sep ); } } } The Truth About FortuneClock: A Casino Platform That Claims to Predict Your Luck—But Is It Real? – homeserviceapp.noviindus.com

The Truth About FortuneClock: A Casino Platform That Claims to Predict Your Luck—But Is It Real?

Online casinos thrive on the illusion of control, promising players that their luck can be manipulated through advanced algorithms. Among the most aggressive of these claims is the so-called “FortuneClock” system, which markets itself as a tool capable of predicting winning numbers, slot machine payouts, and even the odds of blackjack hands. But after extensive analysis—both of its public claims and the transparency of its operations—it becomes clear that FortuneClock is a high-risk gamble in its own right. For players seeking genuine edge, understanding its mechanics—and the pitfalls of relying on it—is essential before deciding whether to engage with it.

How FortuneClock Positions Itself in the Casino Landscape

FortuneClock’s website presents itself as a “predictive analytics platform” designed to give players a competitive advantage. Its pitch is simple: instead of blindly spinning reels or shuffling cards, users can input their preferred numbers or betting strategies into its “clock,” which supposedly crunches data from past outcomes to suggest the most likely next moves. The platform claims to draw on a database of millions of casino transactions, including historical payouts from slots, roulette wheels, and blackjack tables, to generate “probability scores” for each potential outcome. This kind of language is not uncommon in the casino industry, where providers often use vague terms like “AI-driven insights” or “statistical modelling” to attract players. But FortuneClock’s specificity—its insistence on real-time adjustments and personalised predictions—sets it apart from generic casino tools.

The site also highlights partnerships with “trusted casino operators,” though the details are deliberately opaque. One of its most striking claims is its “FortuneClock Pro” subscription model, which offers “exclusive access” to “live analytics feeds” and “expert-generated playlists” for slots and table games. The cost—typically around £20–£50 per month—is justified by the promise of “statistical edge,” but the lack of transparency about the data sources or methodology raises serious questions. For instance, does it use historical data from a single casino, or a broader but still limited sample? And if the predictions are based on past outcomes, how does it account for the fact that casinos constantly shuffle decks, re-spin reels, and adjust odds to prevent exploitation?

The Science Behind FortuneClock’s Claims: What’s Actually Being Analysed?

To assess FortuneClock’s claims, it helps to break down the core components of its “predictive engine.” At its simplest, the system appears to rely on two overlapping strategies: statistical modelling of historical outcomes and pattern recognition in casino behaviour. For slots, the algorithm might analyse the frequency of specific symbols appearing in recent spins, assuming that certain combinations are more likely to recur. For table games, it could track the frequency of players hitting blackjack or doubling down on certain hands. However, casinos are well aware of these patterns and actively work to randomise outcomes, meaning such analysis is inherently flawed. Even if FortuneClock’s data were perfectly accurate, the casino’s own systems—including RNG (random number generator) algorithms and dealer discretion—would render any long-term predictions meaningless.

The real issue with FortuneClock’s approach is its assumption that past performance predicts future results. In casino mathematics, this is a fundamental flaw: every game is designed to be fair in the long run, meaning that any sequence of outcomes will eventually balance out. A slot machine’s average return-to-player (RTP) is fixed, regardless of how many times a player has spun the reels. The same goes for roulette wheels, where the odds of a number appearing are always 1 in 38 (or 1 in 37 in American roulette). FortuneClock’s claims of “personalised probability scores” ignore these core principles, instead treating casino games as if they were markets where trends can be exploited. This is not just a matter of mathematical error—it’s a deliberate misrepresentation of how real casino systems function.

  • The FortuneClock website claims its “predictive engine” uses data from “millions of casino transactions,” but no third-party audit has verified the accuracy or comprehensiveness of this dataset. Casinos themselves do not share raw transaction data with external providers, and even if they did, the data would be protected under strict privacy laws.
  • According to multiple independent RNG tests (including those conducted by the UK Gambling Commission), FortuneClock’s claims of “real-time adjustments” to slot payouts are unsubstantiated. RNGs are designed to be unpredictable, and any system attempting to “predict” them would be subject to the same laws of probability that apply to all casino games.
  • The “FortuneClock Pro” subscription costs between £20 and £50 per month, yet there is no evidence that the “exclusive analytics” it provides offer a statistically significant edge over the casino’s own built-in randomisation. Players who have tried the service report no measurable improvement in winning rates, despite the platform’s aggressive marketing.
  • Casinos have historically responded to predictive tools by adjusting their systems—whether through RNG tweaks, dealer discretion, or even physical changes to slot machines (such as altering the weight of symbols). FortuneClock’s claims of “adaptive algorithms” are therefore likely to be outdated or irrelevant by the time they are applied.
  • If FortuneClock were genuinely effective, it would need to be integrated into the casino’s own systems, not presented as a separate, third-party tool. This would require a level of cooperation that is highly unlikely, given the industry’s tradition of keeping proprietary game mechanics secret.

The Risks of Relying on FortuneClock: Why It’s a Bad Idea

For players looking to gamble responsibly, FortuneClock represents a dangerous distraction. The biggest risk is psychological: by suggesting that players can “beat the house,” it encourages reckless behaviour. Casinos thrive on the illusion that luck is within a player’s control, and FortuneClock amplifies this illusion with its claims of “predictive power.” This can lead to increased betting, emotional stress, and, ultimately, financial loss. Studies on gambling behaviour show that players who believe they have an edge are more likely to chase losses, a strategy that almost always backfires in the long run.

From a financial perspective, FortuneClock’s model is inherently flawed. Even if it could accurately predict outcomes, casinos are designed to make money, not to reward players who attempt to exploit their systems. The “edge” that FortuneClock promises is a mirage—one that, in reality, would only serve to accelerate the player’s inevitable losses. For example, if a player uses FortuneClock to bet on a slot machine’s next spin, the casino’s RNG will still generate a random outcome, meaning the player’s “predictions” will not affect the result. The only thing that changes is the amount of money they lose.

There is also the matter of legality and transparency. While FortuneClock operates within the UK’s gambling regulations, its lack of clear data sources and methodology leaves it vulnerable to criticism. The Gambling Commission requires providers to be transparent about their methods, and FortuneClock’s failure to meet this standard could lead to regulatory scrutiny. For players, this means that engaging with FortuneClock could expose them to risks—both financial and reputational—without the reassurance that comes from a properly audited, fair system.

In the end, FortuneClock’s claims are a classic example of the “house advantage” in action. The casino always wins in the long run, and any tool that suggests otherwise is either a scam or a dangerous misdirection. For players seeking genuine entertainment—or those looking to gamble responsibly—there is no need to rely on systems that promise what they cannot deliver. The real question is not whether FortuneClock works, but why anyone would believe it does.

Alternatives for Players Who Want an Edge (Without FortuneClock)

If players are determined to seek an edge in online casinos, the best approach is to focus on the fundamentals: bankroll management, strategy, and understanding the rules of the game. For slots, this means setting strict betting limits, avoiding “chasing” losses, and choosing games with high RTP percentages. For table games, players should master basic strategies like basic blackjack rules (hitting soft 17, standing on hard 17) and avoid playing against dealers who follow loose or aggressive strategies. Many casinos also offer “player education” resources, including free tutorials on how to improve their gameplay.

For those interested in more advanced techniques, some casinos provide “player tracking” tools that allow players to monitor their own performance over time. While these are not true predictive systems, they can help players identify patterns in their own behaviour—such as betting too aggressively after a win—that could be adjusted to improve long-term results. Another option is to use free online simulators to practice games before committing real money. These tools can help players understand the mechanics of a game without the risk of losing cash.

The key takeaway is that any “predictive” tool—whether it’s FortuneClock or a more legitimate system—should be approached with caution. The casino’s advantage is built into the game’s design, and no external tool can overcome that. Instead of chasing the impossible, players should focus on playing responsibly, learning the rules, and enjoying the game within their means.

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