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139 lines
4.6 KiB
Ruby
139 lines
4.6 KiB
Ruby
# frozen_string_literal: true
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class Trends::Statuses < Trends::Base
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PREFIX = 'trending_statuses'
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BATCH_SIZE = 100
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self.default_options = {
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threshold: 5,
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review_threshold: 3,
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score_halflife: 1.hour.freeze,
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decay_threshold: 0.3,
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}
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class Query < Trends::Query
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def filtered_for!(account)
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@account = account
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self
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end
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def filtered_for(account)
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clone.filtered_for!(account)
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end
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def to_arel
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scope = Status.joins(:trend).reorder(score: :desc)
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scope = scope.reorder(language_order_clause.desc, score: :desc) if preferred_languages.present?
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scope = scope.merge(StatusTrend.allowed) if @allowed
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scope = scope.not_excluded_by_account(@account).not_domain_blocked_by_account(@account) if @account.present?
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scope = scope.offset(@offset) if @offset.present?
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scope = scope.limit(@limit) if @limit.present?
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scope
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end
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private
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def language_order_clause
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Arel::Nodes::Case.new.when(StatusTrend.arel_table[:language].in(preferred_languages)).then(1).else(0)
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end
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def preferred_languages
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if @account&.chosen_languages.present?
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@account.chosen_languages
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else
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@locale
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end
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end
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end
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def register(status, at_time = Time.now.utc)
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add(status.proper, status.account_id, at_time) if eligible?(status.proper)
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end
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def add(status, _account_id, at_time = Time.now.utc)
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record_used_id(status.id, at_time)
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end
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def query
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Query.new(key_prefix, klass)
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end
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def refresh(at_time = Time.now.utc)
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# First, recalculate scores for statuses that were trending previously. We split the queries
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# to avoid having to load all of the IDs into Ruby just to send them back into Postgres
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Status.where(id: StatusTrend.select(:status_id)).includes(:status_stat, :account).reorder(nil).find_in_batches(batch_size: BATCH_SIZE) do |statuses|
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calculate_scores(statuses, at_time)
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end
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# Then, calculate scores for statuses that were used today. There are potentially some
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# duplicate items here that we might process one more time, but that should be fine
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Status.where(id: recently_used_ids(at_time)).includes(:status_stat, :account).reorder(nil).find_in_batches(batch_size: BATCH_SIZE) do |statuses|
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calculate_scores(statuses, at_time)
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end
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# Now that all trends have up-to-date scores, and all the ones below the threshold have
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# been removed, we can recalculate their positions
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StatusTrend.recalculate_ordered_rank
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end
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def request_review
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StatusTrend.locales.flat_map do |language|
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score_at_threshold = StatusTrend.where(language: language, allowed: true).by_rank.ranked_below(options[:review_threshold]).first&.score || 0
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status_trends = StatusTrend.where(language: language, allowed: false).joins(:status).includes(status: :account)
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status_trends.filter_map do |trend|
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status = trend.status
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if trend.score > score_at_threshold && !status.trendable? && status.requires_review_notification?
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status.account.touch(:requested_review_at)
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status
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end
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end
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end
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end
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protected
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def key_prefix
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PREFIX
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end
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def klass
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Status
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end
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private
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def eligible?(status)
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status.public_visibility? && status.account.discoverable? && !status.account.silenced? && !status.account.sensitized? && status.spoiler_text.blank? && !status.sensitive? && !status.reply? && valid_locale?(status.language)
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end
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def calculate_scores(statuses, at_time)
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items = statuses.map do |status|
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expected = 1.0
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observed = (status.reblogs_count + status.favourites_count).to_f
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score = if expected > observed || observed < options[:threshold]
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0
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else
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((observed - expected)**2) / expected
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end
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decaying_score = if score.zero? || !eligible?(status)
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0
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else
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score * (0.5**((at_time.to_f - status.created_at.to_f) / options[:score_halflife].to_f))
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end
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[decaying_score, status]
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end
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to_insert = items.filter { |(score, _)| score >= options[:decay_threshold] }
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to_delete = items.filter { |(score, _)| score < options[:decay_threshold] }
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StatusTrend.upsert_all(to_insert.map { |(score, status)| { status_id: status.id, account_id: status.account_id, score: score, language: status.language, allowed: status.trendable? || false } }, unique_by: :status_id) if to_insert.any?
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StatusTrend.where(status_id: to_delete.map { |(_, status)| status.id }).delete_all if to_delete.any?
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end
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end
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