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Contents
# encoding: utf-8 # module Tokenizers # There are a few class methods that you can use to configure how a query works. # # removes_characters regexp # illegal_after_normalizing regexp # stopwords regexp # contracts_expressions regexp, to_string # splits_text_on regexp # normalizes_words [[/regexp1/, 'replacement1'], [/regexp2/, 'replacement2']] # class Query < Base def self.default= new_default @default = new_default end def self.default @default ||= new end attr_reader :maximum_tokens def initialize options = {} super options @maximum_tokens = options[:maximum_tokens] || 5 end def preprocess text remove_illegals text # Remove illegal characters remove_non_single_stopwords text # remove stop words contract text # contract st sankt etc text end # Split the text and put some back together. # # TODO Make the same as in indexing? # def pretokenize text split text end # Let each token process itself. # Reject, limit, and partialize tokens. # def process tokens tokens.tokenize_with self tokens.reject # Reject any tokens that don't meet criteria tokens.cap maximum_tokens # Cut off superfluous tokens tokens.partialize_last # Set certain tokens as partial tokens end # Called by the token. # # TODO Perhaps move to Normalizer? # def normalize text text = substitute_characters text # Substitute special characters TODO Move to subclass text.downcase! # Downcase all text normalize_with_patterns text # normalize text.to_sym # symbolize end # Returns a token for a word. # The basic query tokenizer uses new tokens. # def token_for word ::Query::Token.processed word end end end
Version data entries
8 entries across 8 versions & 1 rubygems