Module: Searchkick::IndexOptions

Included in:

Index

Defined in:

lib/searchkick/index_options.rb

Instance Method Summary

• #index_options ⇒ Object

Instance Method Details

#index_options ⇒ Object

# File 'lib/searchkick/index_options.rb', line 3

def index_options
  options = @options
  language = options[:language]
  language = language.call if language.respond_to?(:call)
  index_type = options[:_type]
  index_type = index_type.call if index_type.respond_to?(:call)

  if options[:mappings] && !options[:merge_mappings]
    settings = options[:settings] || {}
    mappings = options[:mappings]
  else
    below60 = Searchkick.server_below?("6.0.0")
    below62 = Searchkick.server_below?("6.2.0")

    default_type = "text"
    default_analyzer = :searchkick_index
    keyword_mapping = {type: "keyword"}

    all = options.key?(:_all) ? options[:_all] : false
    index_true_value = true
    index_false_value = false

    keyword_mapping[:ignore_above] = options[:ignore_above] || 30000

    settings = {
      analysis: {
        analyzer: {
          searchkick_keyword: {
            type: "custom",
            tokenizer: "keyword",
            filter: ["lowercase"] + (options[:stem_conversions] ? ["searchkick_stemmer"] : [])
          },
          default_analyzer => {
            type: "custom",
            # character filters -> tokenizer -> token filters
            # https://www.elastic.co/guide/en/elasticsearch/guide/current/analysis-intro.html
            char_filter: ["ampersand"],
            tokenizer: "standard",
            # synonym should come last, after stemming and shingle
            # shingle must come before searchkick_stemmer
            filter: ["standard", "lowercase", "asciifolding", "searchkick_index_shingle", "searchkick_stemmer"]
          },
          searchkick_search: {
            type: "custom",
            char_filter: ["ampersand"],
            tokenizer: "standard",
            filter: ["standard", "lowercase", "asciifolding", "searchkick_search_shingle", "searchkick_stemmer"]
          },
          searchkick_search2: {
            type: "custom",
            char_filter: ["ampersand"],
            tokenizer: "standard",
            filter: ["standard", "lowercase", "asciifolding", "searchkick_stemmer"]
          },
          # https://github.com/leschenko/elasticsearch_autocomplete/blob/master/lib/elasticsearch_autocomplete/analyzers.rb
          searchkick_autocomplete_search: {
            type: "custom",
            tokenizer: "keyword",
            filter: ["lowercase", "asciifolding"]
          },
          searchkick_word_search: {
            type: "custom",
            tokenizer: "standard",
            filter: ["lowercase", "asciifolding"]
          },
          searchkick_suggest_index: {
            type: "custom",
            tokenizer: "standard",
            filter: ["lowercase", "asciifolding", "searchkick_suggest_shingle"]
          },
          searchkick_text_start_index: {
            type: "custom",
            tokenizer: "keyword",
            filter: ["lowercase", "asciifolding", "searchkick_edge_ngram"]
          },
          searchkick_text_middle_index: {
            type: "custom",
            tokenizer: "keyword",
            filter: ["lowercase", "asciifolding", "searchkick_ngram"]
          },
          searchkick_text_end_index: {
            type: "custom",
            tokenizer: "keyword",
            filter: ["lowercase", "asciifolding", "reverse", "searchkick_edge_ngram", "reverse"]
          },
          searchkick_word_start_index: {
            type: "custom",
            tokenizer: "standard",
            filter: ["lowercase", "asciifolding", "searchkick_edge_ngram"]
          },
          searchkick_word_middle_index: {
            type: "custom",
            tokenizer: "standard",
            filter: ["lowercase", "asciifolding", "searchkick_ngram"]
          },
          searchkick_word_end_index: {
            type: "custom",
            tokenizer: "standard",
            filter: ["lowercase", "asciifolding", "reverse", "searchkick_edge_ngram", "reverse"]
          }
        },
        filter: {
          searchkick_index_shingle: {
            type: "shingle",
            token_separator: ""
          },
          # lucky find http://web.archiveorange.com/archive/v/AAfXfQ17f57FcRINsof7
          searchkick_search_shingle: {
            type: "shingle",
            token_separator: "",
            output_unigrams: false,
            output_unigrams_if_no_shingles: true
          },
          searchkick_suggest_shingle: {
            type: "shingle",
            max_shingle_size: 5
          },
          searchkick_edge_ngram: {
            type: "edgeNGram",
            min_gram: 1,
            max_gram: 50
          },
          searchkick_ngram: {
            type: "nGram",
            min_gram: 1,
            max_gram: 50
          },
          searchkick_stemmer: {
            # use stemmer if language is lowercase, snowball otherwise
            type: language == language.to_s.downcase ? "stemmer" : "snowball",
            language: language || "English"
          }
        },
        char_filter: {
          # https://www.elastic.co/guide/en/elasticsearch/guide/current/custom-analyzers.html
          # &_to_and
          ampersand: {
            type: "mapping",
            mappings: ["&=> and "]
          }
        }
      }
    }

    case language
    when "chinese"
      settings[:analysis][:analyzer].merge!(
        default_analyzer => {
          type: "ik_smart"
        },
        searchkick_search: {
          type: "ik_smart"
        },
        searchkick_search2: {
          type: "ik_max_word"
        }
      )

      settings[:analysis][:filter].delete(:searchkick_stemmer)
    when "japanese"
      settings[:analysis][:analyzer].merge!(
        default_analyzer => {
          type: "kuromoji"
        },
        searchkick_search: {
          type: "kuromoji"
        },
        searchkick_search2: {
          type: "kuromoji"
        }
      )
    when "korean"
      settings[:analysis][:analyzer].merge!(
        default_analyzer => {
          type: "openkoreantext-analyzer"
        },
        searchkick_search: {
          type: "openkoreantext-analyzer"
        },
        searchkick_search2: {
          type: "openkoreantext-analyzer"
        }
      )
    when "vietnamese"
      settings[:analysis][:analyzer].merge!(
        default_analyzer => {
          type: "vi_analyzer"
        },
        searchkick_search: {
          type: "vi_analyzer"
        },
        searchkick_search2: {
          type: "vi_analyzer"
        }
      )
    when "polish", "ukrainian", "smartcn"
      settings[:analysis][:analyzer].merge!(
        default_analyzer => {
          type: language
        },
        searchkick_search: {
          type: language
        },
        searchkick_search2: {
          type: language
        }
      )
    end

    if Searchkick.env == "test"
      settings[:number_of_shards] = 1
      settings[:number_of_replicas] = 0
    end

    if options[:similarity]
      settings[:similarity] = {default: {type: options[:similarity]}}
    end

    unless below62
      settings[:index] = {
        max_ngram_diff: 49,
        max_shingle_diff: 4
      }
    end

    settings.deep_merge!(options[:settings] || {})

    # synonyms
    synonyms = options[:synonyms] || []

    synonyms = synonyms.call if synonyms.respond_to?(:call)

    if synonyms.any?
      settings[:analysis][:filter][:searchkick_synonym] = {
        type: "synonym",
        # only remove a single space from synonyms so three-word synonyms will fail noisily instead of silently
        synonyms: synonyms.select { |s| s.size > 1 }.map { |s| s.is_a?(Array) ? s.map { |s2| s2.sub(/\s+/, "") }.join(",") : s }.map(&:downcase)
      }
      # choosing a place for the synonym filter when stemming is not easy
      # https://groups.google.com/forum/#!topic/elasticsearch/p7qcQlgHdB8
      # TODO use a snowball stemmer on synonyms when creating the token filter

      # http://elasticsearch-users.115913.n3.nabble.com/synonym-multi-words-search-td4030811.html
      # I find the following approach effective if you are doing multi-word synonyms (synonym phrases):
      # - Only apply the synonym expansion at index time
      # - Don't have the synonym filter applied search
      # - Use directional synonyms where appropriate. You want to make sure that you're not injecting terms that are too general.
      settings[:analysis][:analyzer][default_analyzer][:filter].insert(4, "searchkick_synonym") if below60
      settings[:analysis][:analyzer][default_analyzer][:filter] << "searchkick_synonym"

      %w(word_start word_middle word_end).each do |type|
        settings[:analysis][:analyzer]["searchkick_#{type}_index".to_sym][:filter].insert(2, "searchkick_synonym")
      end
    end

    if options[:wordnet]
      settings[:analysis][:filter][:searchkick_wordnet] = {
        type: "synonym",
        format: "wordnet",
        synonyms_path: Searchkick.wordnet_path
      }

      settings[:analysis][:analyzer][default_analyzer][:filter].insert(4, "searchkick_wordnet")
      settings[:analysis][:analyzer][default_analyzer][:filter] << "searchkick_wordnet"

      %w(word_start word_middle word_end).each do |type|
        settings[:analysis][:analyzer]["searchkick_#{type}_index".to_sym][:filter].insert(2, "searchkick_wordnet")
      end
    end

    if options[:special_characters] == false
      settings[:analysis][:analyzer].each_value do |analyzer_settings|
        analyzer_settings[:filter].reject! { |f| f == "asciifolding" }
      end
    end

    mapping = {}

    # conversions
    Array(options[:conversions]).each do |conversions_field|
      mapping[conversions_field] = {
        type: "nested",
        properties: {
          query: {type: default_type, analyzer: "searchkick_keyword"},
          count: {type: "integer"}
        }
      }
    end

    mapping_options = Hash[
      [:suggest, :word, :text_start, :text_middle, :text_end, :word_start, :word_middle, :word_end, :highlight, :searchable, :filterable]
        .map { |type| [type, (options[type] || []).map(&:to_s)] }
    ]

    word = options[:word] != false && (!options[:match] || options[:match] == :word)

    mapping_options[:searchable].delete("_all")

    analyzed_field_options = {type: default_type, index: index_true_value, analyzer: default_analyzer}

    mapping_options.values.flatten.uniq.each do |field|
      fields = {}

      if options.key?(:filterable) && !mapping_options[:filterable].include?(field)
        fields[field] = {type: default_type, index: index_false_value}
      else
        fields[field] = keyword_mapping
      end

      if !options[:searchable] || mapping_options[:searchable].include?(field)
        if word
          fields["analyzed"] = analyzed_field_options

          if mapping_options[:highlight].include?(field)
            fields["analyzed"][:term_vector] = "with_positions_offsets"
          end
        end

        mapping_options.except(:highlight, :searchable, :filterable, :word).each do |type, f|
          if options[:match] == type || f.include?(field)
            fields[type] = {type: default_type, index: index_true_value, analyzer: "searchkick_#{type}_index"}
          end
        end
      end

      mapping[field] = fields[field].merge(fields: fields.except(field))
    end

    (options[:locations] || []).map(&:to_s).each do |field|
      mapping[field] = {
        type: "geo_point"
      }
    end

    options[:geo_shape] = options[:geo_shape].product([{}]).to_h if options[:geo_shape].is_a?(Array)
    (options[:geo_shape] || {}).each do |field, shape_options|
      mapping[field] = shape_options.merge(type: "geo_shape")
    end

    if options[:inheritance]
      mapping[:type] = keyword_mapping
    end

    routing = {}
    if options[:routing]
      routing = {required: true}
      unless options[:routing] == true
        routing[:path] = options[:routing].to_s
      end
    end

    dynamic_fields = {
      # analyzed field must be the default field for include_in_all
      # http://www.elasticsearch.org/guide/reference/mapping/multi-field-type/
      # however, we can include the not_analyzed field in _all
      # and the _all index analyzer will take care of it
      "{name}" => keyword_mapping
    }

    if below60 && all
      dynamic_fields["{name}"][:include_in_all] = !options[:searchable]
    end

    if options.key?(:filterable)
      dynamic_fields["{name}"] = {type: default_type, index: index_false_value}
    end

    unless options[:searchable]
      if options[:match] && options[:match] != :word
        dynamic_fields[options[:match]] = {type: default_type, index: index_true_value, analyzer: "searchkick_#{options[:match]}_index"}
      end

      if word
        dynamic_fields["analyzed"] = analyzed_field_options
      end
    end

    # http://www.elasticsearch.org/guide/reference/mapping/multi-field-type/
    multi_field = dynamic_fields["{name}"].merge(fields: dynamic_fields.except("{name}"))

    mappings = {
      index_type => {
        properties: mapping,
        _routing: routing,
        # https://gist.github.com/kimchy/2898285
        dynamic_templates: [
          {
            string_template: {
              match: "*",
              match_mapping_type: "string",
              mapping: multi_field
            }
          }
        ]
      }
    }

    if below60
      all_enabled = all && (!options[:searchable] || options[:searchable].to_a.map(&:to_s).include?("_all"))
      mappings[index_type][:_all] = all_enabled ? analyzed_field_options : {enabled: false}
    end

    mappings = mappings.deep_merge(options[:mappings] || {})
  end

  {
    settings: settings,
    mappings: mappings
  }
end