# frozen_string_literal: true class TopicHotScore < ActiveRecord::Base belongs_to :topic DEFAULT_BATCH_SIZE = 1000 def self.update_scores(max = DEFAULT_BATCH_SIZE) # score is # (total likes - 1) / (age in hours + 2) ^ gravity # 1. insert a new record if one does not exist (up to batch size) # 2. update recently created (up to batch size) # 3. update all top scoring topics (up to batch size) now = Time.zone.now args = { now: now, gravity: SiteSetting.hot_topics_gravity, max: max, private_message: Archetype.private_message, recent_cutoff: now - SiteSetting.hot_topics_recent_days.days, regular: Post.types[:regular], } # insert up to BATCH_SIZE records that are missing from table DB.exec(<<~SQL, args) INSERT INTO topic_hot_scores ( topic_id, score, recent_likes, recent_posters, created_at, updated_at ) SELECT topics.id, 0.0, 0, 0, :now, :now FROM topics LEFT OUTER JOIN topic_hot_scores ON topic_hot_scores.topic_id = topics.id WHERE topic_hot_scores.topic_id IS NULL AND topics.deleted_at IS NULL AND topics.archetype <> :private_message AND topics.created_at <= :now ORDER BY CASE WHEN topics.pinned_at IS NOT NULL THEN 0 ELSE 1 END ASC, topics.bumped_at desc LIMIT :max SQL # update recent counts for batch DB.exec(<<~SQL, args) UPDATE topic_hot_scores thsOrig SET recent_likes = COALESCE(new_values.likes_count, 0), recent_posters = COALESCE(new_values.unique_participants, 0), recent_first_bumped_at = COALESCE(new_values.first_bumped_at, ths.recent_first_bumped_at) FROM topic_hot_scores ths LEFT OUTER JOIN ( SELECT t.id AS topic_id, COUNT(DISTINCT p.user_id) AS unique_participants, ( SELECT COUNT(distinct pa.user_id) FROM post_actions pa JOIN posts p2 ON p2.id = pa.post_id WHERE p2.topic_id = t.id AND p2.post_type = :regular AND p2.deleted_at IS NULL AND p2.user_deleted = false AND pa.post_action_type_id = 2 -- action_type for 'like' AND pa.created_at >= :recent_cutoff AND pa.deleted_at IS NULL ) AS likes_count, MIN(p.created_at) AS first_bumped_at FROM topics t JOIN posts p ON t.id = p.topic_id WHERE p.created_at >= :recent_cutoff AND t.archetype <> 'private_message' AND t.deleted_at IS NULL AND p.deleted_at IS NULL AND p.user_deleted = false AND t.created_at <= :now AND t.bumped_at >= :recent_cutoff AND p.created_at < :now AND p.created_at >= :recent_cutoff AND p.post_type = :regular GROUP BY t.id ) AS new_values ON ths.topic_id = new_values.topic_id WHERE thsOrig.topic_id = ths.topic_id SQL # we may end up update 2x batch size, this is ok # we need to update 1 batch of high scoring topics # we need to update a second batch of recently bumped topics sql = <<~SQL WITH topic_ids AS ( SELECT topic_id FROM ( SELECT th3.topic_id FROM topic_hot_scores th3 JOIN topics t3 on t3.id = th3.topic_id ORDER BY t3.bumped_at DESC LIMIT :max ) Y UNION ALL SELECT topic_id FROM ( SELECT th2.topic_id FROM topic_hot_scores th2 ORDER BY th2.score DESC, th2.recent_first_bumped_at DESC NULLS LAST LIMIT :max ) X ) UPDATE topic_hot_scores ths SET score = ( CASE WHEN topics.created_at > :recent_cutoff THEN ths.recent_likes ELSE topics.like_count END ) / (EXTRACT(EPOCH FROM (:now - topics.created_at)) / 3600 + 2) ^ :gravity + CASE WHEN ths.recent_first_bumped_at IS NULL THEN 0 ELSE (ths.recent_likes + ths.recent_posters - 1) / (EXTRACT(EPOCH FROM (:now - recent_first_bumped_at)) / 3600 + 2) ^ :gravity END , updated_at = :now FROM topics WHERE topics.id IN ( SELECT topic_id FROM topic_ids ) AND ths.topic_id = topics.id SQL DB.exec(sql, args) end end # == Schema Information # # Table name: topic_hot_scores # # id :bigint not null, primary key # topic_id :integer not null # score :float default(0.0), not null # recent_likes :integer default(0), not null # recent_posters :integer default(0), not null # recent_first_bumped_at :datetime # created_at :datetime not null # updated_at :datetime not null # # Indexes # # index_topic_hot_scores_on_score_and_topic_id (score,topic_id) UNIQUE # index_topic_hot_scores_on_topic_id (topic_id) UNIQUE #