app/models/related_content.rb
class RelatedContent < ApplicationRecord
RELATED_CONTENT_SCORE_THRESHOLD = Setting["related_content_score_threshold"].to_f
RELATIONABLE_MODELS = %w[proposals debates budgets investments].freeze
acts_as_paranoid column: :hidden_at
include ActsAsParanoidAliases
belongs_to :author, class_name: "User"
belongs_to :parent_relationable, polymorphic: true, optional: false, touch: true
belongs_to :child_relationable, polymorphic: true, optional: false, touch: true
has_one :opposite_related_content, class_name: name, foreign_key: :related_content_id
has_many :related_content_scores, dependent: :destroy
validates :parent_relationable_id,
uniqueness: {
scope: [:parent_relationable_type, :child_relationable_id, :child_relationable_type]
}
validate :different_parent_and_child
after_create :create_opposite_related_content, unless: proc { opposite_related_content.present? }
after_create :create_author_score
scope :not_hidden, -> { where(hidden_at: nil) }
scope :from_users, -> { where(machine_learning: false) }
scope :from_machine_learning, -> { where(machine_learning: true) }
scope :for_proposals, -> do
where(parent_relationable_type: "Proposal", child_relationable_type: "Proposal")
end
scope :for_investments, -> do
where(parent_relationable_type: "Budget::Investment", child_relationable_type: "Budget::Investment")
end
def score_positive(user)
score(RelatedContentScore::SCORES[:POSITIVE], user)
end
def score_negative(user)
score(RelatedContentScore::SCORES[:NEGATIVE], user)
end
def scored_by_user?(user)
related_content_scores.exists?(user: user)
end
def same_parent_and_child?
parent_relationable == child_relationable
end
def duplicate?
parent_relationable.relationed_contents.include?(child_relationable)
end
private
def different_parent_and_child
if same_parent_and_child?
errors.add(:parent_relationable, :itself)
end
end
def create_opposite_related_content
related_content = RelatedContent.create!(opposite_related_content: self,
parent_relationable: child_relationable,
child_relationable: parent_relationable,
machine_learning: machine_learning,
author: author)
self.opposite_related_content = related_content
end
def score(value, user)
score_with_opposite(value, user)
if (related_content_scores.sum(:value) / related_content_scores_count) < RELATED_CONTENT_SCORE_THRESHOLD
hide_with_opposite
end
end
def hide_with_opposite
hide
opposite_related_content.hide
end
def create_author_score
score_positive(author)
end
def score_with_opposite(value, user)
RelatedContentScore.create(user: user, related_content: self, value: value)
RelatedContentScore.create(user: user, related_content: opposite_related_content, value: value)
end
end