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When a post is flagged due to matching watched words, it can be difficult to know what you're looking for, particularly if you have a lot of watched words built up over a long period of time. This change stores the list of matched words, and later displays them in the review queue, listing which Watched Words were responsible for the flag. Because watched words can change, this is recorded at the time the post is flagged. For posts that were flagged prior to this feature landing, it tries to guess the relevant words based on the current Watched Words set.
126 lines
3.8 KiB
Ruby
126 lines
3.8 KiB
Ruby
# frozen_string_literal: true
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class ReviewableScore < ActiveRecord::Base
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belongs_to :reviewable
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belongs_to :user
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belongs_to :reviewed_by, class_name: "User"
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belongs_to :meta_topic, class_name: "Topic"
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enum :status, { pending: 0, agreed: 1, disagreed: 2, ignored: 3 }
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# To keep things simple the types correspond to `PostActionType` for backwards
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# compatibility, but we can add extra reasons for scores.
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def self.types
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PostActionType.flag_types.merge(PostActionType.score_types).merge(@api_types || {})
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end
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def self.type_title(type)
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I18n.t("post_action_types.#{type}.title", default: nil) ||
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I18n.t("reviewable_score_types.#{type}.title", default: nil) ||
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PostActionType.names[types[type]]
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end
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# When extending post action flags, we need to call this method in order to
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# get the latests flags.
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def self.reload_types
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@api_types = nil
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types
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end
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def self.add_new_types(type_names)
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@api_types ||= {}
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next_id = types.values.max + 1
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type_names.each_with_index { |name, idx| @api_types[name] = next_id + idx }
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end
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def self.score_transitions
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{ approved: statuses[:agreed], rejected: statuses[:disagreed], ignored: statuses[:ignored] }
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end
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def score_type
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Reviewable::Collection::Item.new(reviewable_score_type)
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end
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def took_action?
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take_action_bonus > 0
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end
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def self.calculate_score(user, type_bonus, take_action_bonus)
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score = user_flag_score(user) + type_bonus + take_action_bonus
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score > 0 ? score : 0
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end
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# A user's flag score is:
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# 1.0 + trust_level + user_accuracy_bonus
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# (trust_level is 5 for staff)
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def self.user_flag_score(user)
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1.0 + (user.staff? ? 5.0 : user.trust_level.to_f) + user_accuracy_bonus(user)
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end
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# A user's accuracy bonus is:
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# if 5 or less flags => 0.0
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# if > 5 flags => (agreed flags / total flags) * 5.0
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def self.user_accuracy_bonus(user)
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user_stat = user&.user_stat
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return 0.0 if user_stat.blank? || user.bot?
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calc_user_accuracy_bonus(user_stat.flags_agreed, user_stat.flags_disagreed)
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end
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def self.calc_user_accuracy_bonus(agreed, disagreed)
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agreed ||= 0
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disagreed ||= 0
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total = (agreed + disagreed).to_f
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return 0.0 if total <= 5
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accuracy_axis = 0.7
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percent_correct = agreed / total
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positive_accuracy = percent_correct >= accuracy_axis
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bottom = positive_accuracy ? accuracy_axis : 0.0
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top = positive_accuracy ? 1.0 : accuracy_axis
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absolute_distance = positive_accuracy ? percent_correct - bottom : top - percent_correct
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axis_distance_multiplier = 1.0 / (top - bottom)
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positivity_multiplier = positive_accuracy ? 1.0 : -1.0
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(
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absolute_distance * axis_distance_multiplier * positivity_multiplier *
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(Math.log(total, 4) * 5.0)
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).round(2)
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end
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def reviewable_conversation
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return if meta_topic.blank?
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Reviewable::Conversation.new(meta_topic)
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end
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end
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# == Schema Information
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#
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# Table name: reviewable_scores
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#
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# id :bigint not null, primary key
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# reviewable_id :integer not null
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# user_id :integer not null
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# reviewable_score_type :integer not null
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# status :integer not null
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# score :float default(0.0), not null
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# take_action_bonus :float default(0.0), not null
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# reviewed_by_id :integer
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# reviewed_at :datetime
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# meta_topic_id :integer
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# created_at :datetime not null
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# updated_at :datetime not null
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# reason :string
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# user_accuracy_bonus :float default(0.0), not null
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# context :string
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#
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# Indexes
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#
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# index_reviewable_scores_on_reviewable_id (reviewable_id)
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# index_reviewable_scores_on_user_id (user_id)
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#
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