module Index # This class defines the indexing and index API that is exposed to the user # as the #index method inside the Application class. # # It provides a single front for both indexing and index options. We suggest to always use the index API. # # Note: An Index holds both an *Indexed*::*Index* and an *Indexing*::*Type*. # class Base attr_reader :name, :indexing, :indexed # Create a new index with a given source. # # === Parameters # * name: A name that will be used for the index directory and in the Picky front end. # * source: Where the data comes from, e.g. Sources::CSV.new(...) # # === Options # * result_identifier: Use if you'd like a different identifier/name in the results than the name of the index. # * after_indexing: As of this writing only used in the db source. Executes the given after_indexing as SQL after the indexing process. # def initialize name, source, options = {} @name = name @indexing = Internals::Indexing::Index.new name, source, options @indexed = Internals::Indexed::Index.new name, options # Centralized registry. # Indexes.register self end # Defines a searchable category on the index. # # === Parameters # * category_name: This identifier is used in the front end, but also to categorize query text. For example, “title:hobbit” will narrow the hobbit query on categories with the identifier :title. # # === Options # * partial: Partial::None.new or Partial::Substring.new(from: starting_char, to: ending_char). Default is Partial::Substring.new(from: -3, to: -1). # * similarity: Similarity::None.new or Similarity::Phonetic.new(similar_words_searched). Default is Similarity::None.new. # * qualifiers: An array of qualifiers with which you can define which category you’d like to search, for example “title:hobbit” will search for hobbit in just title categories. Example: qualifiers: [:t, :titre, :title] (use it for example with multiple languages). Default is the name of the category. # * qualifier: Convenience options if you just need a single qualifier, see above. Example: qualifiers => :title. Default is the name of the category. # * source: Use a different source than the index uses. If you think you need that, there might be a better solution to your problem. Please post to the mailing list first with your application.rb :) # * from: Take the data from the data category with this name. Example: You have a source Sources::CSV.new(:title, file:'some_file.csv') but you want the category to be called differently. The you use from: define_category(:similar_title, :from => :title). # def define_category category_name, options = {} category_name = category_name.to_sym indexing_category = indexing.define_category category_name, options indexed_category = indexed.define_category category_name, options yield indexing_category, indexed_category if block_given? self end alias category define_category # HIGHLY EXPERIMENTAL Try if you feel "beta" ;) # # Make this category range searchable with a fixed range. If you need other ranges, define another category with a different range value. # # Example: # You have data values inside 1..100, and you want to have Picky return # not only the results for 47 if you search for 47, but also results for # 45, 46, or 47.2, 48.9, in a range of 2 around 47, so (45..49). # # Then you use: # my_index.define_ranged_category :values_inside_1_100, 2 # # Optionally, you give it a precision value to reduce the error margin # around 47 (Picky is a bit liberal). # my_index.define_ranged_category :values_inside_1_100, 2, precision: 5 # # This will force Picky to maximally be wrong 5% of the given range value # (5% of 2 = 0.1) instead of the default 20% (20% of 2 = 0.4). # # We suggest not to use much more than 5 as a higher precision is more performance intensive for less and less precision gain. # # == Protip 1 # # Create two ranged categories to make an area search: # index.define_ranged_category :x, 1 # index.define_ranged_category :y, 1 # # Search for it using for example: # x:133, y:120 # # This will search this square area (* = 133, 120: The "search" point entered): # # 132 134 # | | # --|---------|-- 121 # | | # | * | # | | # --|---------|-- 119 # | | # # Note: The area does not need to be square, but can be rectangular. # # == Protip 2 # # Create three ranged categories to make a volume search. # # Or go crazy and use 4 ranged categories for a space/time search! ;) # # === Parameters # * category_name: The category_name as used in #define_category. # * range: The range (in the units of your data values) around the query point where we search for results. # # -----|<- range ->*------------|----- # # === Options # * precision: Default is 1 (20% error margin, very fast), up to 5 (5% error margin, slower) makes sense. # * ... all options of #define_category. # def define_ranged_category category_name, range, options = {} precision = options[:precision] options = { partial: Partial::None.new }.merge options define_category category_name, options do |indexing, indexed| indexing.source = Sources::Wrappers::Location.new indexing, grid: range, precision: precision indexing.tokenizer = Internals::Tokenizers::Index.new exact_bundle = Indexed::Wrappers::Bundle::Location.new indexed.exact, grid: range, precision: precision indexed.exact = exact_bundle indexed.partial = exact_bundle # A partial token also uses the exact index. end end alias ranged_category define_ranged_category # HIGHLY EXPERIMENTAL Not correctly working yet. Try it if you feel "beta". # # Also a range search see #define_ranged_category, but on the earth's surface. # # Parameters: # * name: The name as used in #define_category. # * radius: The distance (in km) around the query point which we search for results. # # Note: Picky uses a square, not a circle. We hope that's ok for most usages. # # ----------------------------- # | | # | | # | | # | | # | | # | *<- radius ->| # | | # | | # | | # | | # | | # ----------------------------- # # Options # * precision: Default 1 (20% error margin, very fast), up to 5 (5% error margin, slower) makes sense. # * from: The data category to take the data for this category from. # # TODO Redo. Will have to write a wrapper that combines two categories that are indexed simultaneously. # def define_map_location name, radius, options = {} # :nodoc: # The radius is given as if all the locations were on the equator. # # TODO Need to recalculate since not many locations are on the equator ;) This is just a prototype. # # This calculates km -> longitude (degrees). # # A degree on the equator is equal to ~111,319.9 meters. # So a km on the equator is equal to 0.00898312 degrees. # define_ranged_category name, radius * 0.00898312, options end alias map_location define_map_location end end