82 lines
2 KiB
Ruby
82 lines
2 KiB
Ruby
# See:
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# - https://robots.thoughtbot.com/implementing-multi-table-full-text-search-with-postgres
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# - http://calebthompson.io/talks/search.html
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class Search < ActiveRecord::Base
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# :nodoc:
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#
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# Englobs a search result (actually a collection of Search objects) so it acts
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# like a collection of regular Dossier objects, which can be decorated,
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# paginated, ...
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class Results
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include Enumerable
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def initialize(results)
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@results = results
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end
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def each
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@results.each do |search|
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yield search.dossier
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end
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end
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def method_missing(name, *args, &block)
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@results.__send__(name, *args, &block)
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end
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def decorate!
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@results.each do |search|
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search.dossier = search.dossier.decorate
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end
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end
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end
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attr_accessor :gestionnaire
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attr_accessor :query
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attr_accessor :page
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belongs_to :dossier
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def results
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if @query.blank?
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return Search.none
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end
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search_term = Search.connection.quote(to_tsquery)
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dossier_ids = @gestionnaire.dossiers
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.select(:id)
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.not_archived
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.state_not_brouillon
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q = Search
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.select("DISTINCT(searches.dossier_id)")
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.select("COALESCE(ts_rank(to_tsvector('french', searches.term::text), to_tsquery('french', #{search_term})), 0) AS rank")
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.joins(:dossier)
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.where(dossier_id: dossier_ids)
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.where("to_tsvector('french', searches.term::text) @@ to_tsquery('french', #{search_term})")
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.order("rank DESC")
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.preload(:dossier)
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if @page.present?
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q = q.paginate(page: @page)
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end
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Results.new(q)
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end
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# def self.refresh
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# # TODO: could be executed concurrently
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# # See https://github.com/thoughtbot/scenic#what-about-materialized-views
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# Scenic.database.refresh_materialized_view(table_name, concurrently: false)
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# end
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private
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def to_tsquery
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@query.gsub(/['?\\:&|!]/, "") # drop disallowed characters
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.split(/\s+/) # split words
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.map { |x| "#{x}:*" } # enable prefix matching
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.join(" & ")
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end
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end
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