tootlab-mastodon/app/models/trends/statuses.rb

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# frozen_string_literal: true
class Trends::Statuses < Trends::Base
PREFIX = 'trending_statuses'
self.default_options = {
threshold: 5,
review_threshold: 3,
score_halflife: 2.hours.freeze,
}
class Query < Trends::Query
def filtered_for!(account)
@account = account
self
end
def filtered_for(account)
clone.filtered_for!(account)
end
private
def apply_scopes(scope)
scope.includes(:account)
end
def perform_queries
return super if @account.nil?
statuses = super
account_ids = statuses.map(&:account_id)
account_domains = statuses.map(&:account_domain)
preloaded_relations = {
blocking: Account.blocking_map(account_ids, @account.id),
blocked_by: Account.blocked_by_map(account_ids, @account.id),
muting: Account.muting_map(account_ids, @account.id),
following: Account.following_map(account_ids, @account.id),
domain_blocking_by_domain: Account.domain_blocking_map_by_domain(account_domains, @account.id),
}
statuses.reject { |status| StatusFilter.new(status, @account, preloaded_relations).filtered? }
end
end
def register(status, at_time = Time.now.utc)
add(status.proper, status.account_id, at_time) if eligible?(status)
end
def add(status, _account_id, at_time = Time.now.utc)
# We rely on the total reblogs and favourites count, so we
# don't record which account did the what and when here
record_used_id(status.id, at_time)
end
def query
Query.new(key_prefix, klass)
end
def refresh(at_time = Time.now.utc)
statuses = Status.where(id: (recently_used_ids(at_time) + currently_trending_ids(false, -1)).uniq).includes(:account, :media_attachments)
calculate_scores(statuses, at_time)
trim_older_items
end
def request_review
statuses = Status.where(id: currently_trending_ids(false, -1)).includes(:account)
statuses.filter_map do |status|
next unless would_be_trending?(status.id) && !status.trendable? && status.requires_review_notification?
status.account.touch(:requested_review_at)
status
end
end
protected
def key_prefix
PREFIX
end
def klass
Status
end
private
def eligible?(status)
original_status = status.proper
original_status.public_visibility? &&
original_status.account.discoverable? && !original_status.account.silenced? &&
original_status.spoiler_text.blank? && !original_status.sensitive? && !original_status.reply?
end
def calculate_scores(statuses, at_time)
redis.pipelined do
statuses.each do |status|
expected = 1.0
observed = (status.reblogs_count + status.favourites_count).to_f
score = begin
if expected > observed || observed < options[:threshold]
0
else
((observed - expected)**2) / expected
end
end
decaying_score = score * (0.5**((at_time.to_f - status.created_at.to_f) / options[:score_halflife].to_f))
add_to_and_remove_from_subsets(status.id, decaying_score, {
all: true,
allowed: status.trendable? && status.account.discoverable?,
})
next unless valid_locale?(status.language)
add_to_and_remove_from_subsets(status.id, decaying_score, {
"all:#{status.language}" => true,
"allowed:#{status.language}" => status.trendable? && status.account.discoverable?,
})
end
# Clean up localized sets by calculating the intersection with the main
# set. We do this instead of just deleting the localized sets to avoid
# having moments where the API returns empty results
Trends.available_locales.each do |locale|
redis.zinterstore("#{key_prefix}:all:#{locale}", ["#{key_prefix}:all:#{locale}", "#{key_prefix}:all"], aggregate: 'max')
redis.zinterstore("#{key_prefix}:allowed:#{locale}", ["#{key_prefix}:allowed:#{locale}", "#{key_prefix}:all"], aggregate: 'max')
end
end
end
def would_be_trending?(id)
score(id) > score_at_rank(options[:review_threshold] - 1)
end
end