=data_miner

Programmatically import useful data into your ActiveRecord models.

(see http://wiki.github.com/seamusabshere/data_miner for more examples)

==Quick start

You define <tt>data_miner</tt> blocks in your ActiveRecord models. For example, in <tt>app/models/country.rb</tt>:

    class Country < ActiveRecord::Base
      set_primary_key :iso_3166_code
  
      data_miner do    
        import 'the official ISO country list',
               :url => 'http://www.iso.org/iso/list-en1-semic-3.txt',
               :skip => 2,
               :headers => false,
               :delimiter => ';',
               :encoding => 'ISO-8859-1' do
          key   :iso_3166_code, :field_number => 1
          store :name, :field_number => 0
        end
      end
    end

Now you can run:

  irb(main):001:0> Country.run_data_miner!
  => nil

== Creating tables from scratch (changed in 1.2)

We recommend using the <tt>mini_record-compat</tt> gem (https://github.com/seamusabshere/mini_record)

This replaces the <tt>schema</tt> method that was available before. It didn't make sense for <tt>data_miner</tt> to provide this natively.

    class Car < ActiveRecord::Base
      # the mini_record way
      col :make
      col :model
  
      data_miner do
        # DEPRECATED - see above
        # schema do
        #   string :make
        #   string :model
        # end
  
        # the mini_record way
        process :auto_upgrade!
    
        # [... other data mining steps]
      end
    end

==Advanced usage

This is how we linked together (http://data.brighterplanet.com/aircraft) the FAA's list of aircraft with the US Department of Transportations list of aircraft:

  class Aircraft < ActiveRecord::Base
    # Tell ActiveRecord that we want to use a string primary key.
    # This makes it easier to repeatedly truncate and re-import this
    # table without breaking associations.
    set_primary_key :icao_code
  
    # Use the mini_record-compat gem to define the database schema in-line.
    # It will destructively and automatically add/remove columns.
    # This is "OK" because you can always just re-run the import script to get the data back.
    # PS. If you're using DataMapper, you don't need this
    col :icao_code
    col :manufacturer_name
    col :name
    col :bts_name
    col :bts_aircraft_type_code
    col :brighter_planet_aircraft_class_code
    col :fuel_use_aircraft_name
    col :m3, :type => :float
    col :m3_units
    col :m2, :type => :float
    col :m2_units
    col :m1, :type => :float
    col :m1_units
    col :endpoint_fuel, :type => :float
    col :endpoint_fuel_units
    col :seats, :type => :float
    col :distance, :type => :float
    col :distance_units
    col :load_factor, :type => :float
    col :freight_share, :type => :float
    col :payload, :type => :float
    col :weighting, :type => :float
    col :bts_aircraft_type_code, :type => :index
  
    # A dictionary between BTS aircraft type codes and ICAO aircraft
    # codes that uses string similarity instead of exact matching.
    # This is preferable to typing everything out.
    def self.bts_name_dictionary
      # Sorry for documenting the LooseTightDictionary gem here, but it's useful
      @_bts_dictionary ||= LooseTightDictionary.new(
                                                    # The first argument is the source... the possible matches. Most Enumerables will do.
                                                    RemoteTable.new(:url => 'http://www.transtats.bts.gov/Download_Lookup.asp?Lookup=L_AIRCRAFT_TYPE', :select => lambda { |record| record['Code'].to_i.between?(1, 998) }),
                                                    # Tightenings optionally pull out what is important on both sides of a potential match
                                                    :tightenings  => RemoteTable.new(:url => 'http://spreadsheets.google.com/pub?key=tiS_6CCDDM_drNphpYwE_iw&single=true&gid=0&output=csv', :headers => false),
                                                    # Identities optionally require a particular capture from both sides of a match to be equal
                                                    :identities   => RemoteTable.new(:url => 'http://spreadsheets.google.com/pub?key=tiS_6CCDDM_drNphpYwE_iw&single=true&gid=3&output=csv', :headers => false),
                                                    # Blockings restrict comparisons to a subset where everything matches the blocking
                                                    :blockings    => RemoteTable.new(:url => 'http://spreadsheets.google.com/pub?key=tiS_6CCDDM_drNphpYwE_iw&single=true&gid=4&output=csv', :headers => false),
                                                    # This means that lookups that don't match a blocking won't be compared to possible matches that **do** match a blocking.
                                                    # This is useful because we say /boeing/ and only boeings are matched against other boeings.
                                                    :blocking_only => true,
                                                    # Tell the dictionary how read things from the source.
                                                    :right_reader => lambda { |record| record['Description'] }
                                                   )
    end
  
    # A dictionary between what appear to be ICAO aircraft names and
    # objects of this class itself.
    # Warning: self-referential (it calls Aircraft.all) so it should be run after the first DataMiner step.
    def self.icao_name_dictionary
      @_icao_dictionary ||= LooseTightDictionary.new Aircraft.all,
                                                     :tightenings  => RemoteTable.new(:url => 'http://spreadsheets.google.com/pub?key=tiS_6CCDDM_drNphpYwE_iw&single=true&gid=0&output=csv', :headers => false),
                                                     :identities   => RemoteTable.new(:url => 'http://spreadsheets.google.com/pub?key=tiS_6CCDDM_drNphpYwE_iw&single=true&gid=3&output=csv', :headers => false),
                                                     :blockings    => RemoteTable.new(:url => 'http://spreadsheets.google.com/pub?key=tiS_6CCDDM_drNphpYwE_iw&single=true&gid=4&output=csv', :headers => false),
                                                     :right_reader => lambda { |record| record.manufacturer_name.to_s + ' ' + record.name.to_s }
    end

    # This responds to the "Matcher" interface as defined by DataMiner.
    # In other words, it takes Matcher#match(*args) and returns something.
    class BtsMatcher
      attr_reader :wants
      def initialize(wants)
        @wants = wants
      end
      def match(raw_faa_icao_record)
        @_match ||= Hash.new
        return @_match[raw_faa_icao_record] if @_match.has_key?(raw_faa_icao_record)
        faa_icao_record = [ raw_faa_icao_record['Manufacturer'] + ' ' + raw_faa_icao_record['Model'] ]
        bts_record = Aircraft.bts_name_dictionary.left_to_right faa_icao_record
        retval = case wants
        when :bts_aircraft_type_code
          bts_record['Code']
        when :bts_name
          bts_record['Description']
        end if bts_record
        @_match[raw_faa_icao_record] = retval
      end
    end

    # Another class that implements the "Matcher" interface as expected by DataMiner.
    class FuelUseMatcher
      def match(raw_fuel_use_record)
        @_match ||= Hash.new
        return @_match[raw_fuel_use_record] if @_match.has_key?(raw_fuel_use_record)
        # First try assuming we have an ICAO code
        aircraft_record = if raw_fuel_use_record['ICAO'] =~ /\A[0-9A-Z]+\z/
          Aircraft.find_by_icao_code raw_fuel_use_record['ICAO']
        end
        # No luck? then try a fuzzy match
        aircraft_record ||= if raw_fuel_use_record['Aircraft Name'].present?
          Aircraft.icao_name_dictionary.left_to_right [ raw_fuel_use_record['Aircraft Name'] ]
        end
        if aircraft_record
          @_match[raw_fuel_use_record] = aircraft_record.icao_code
        else
          # While we're developing the dictionary, we want it to blow up until we have 100% matchability
          raise "Didn't find a match for #{raw_fuel_use_record['Aircraft Name']} (#{raw_fuel_use_record['ICAO']}), which we found in the fuel use spreadsheet"
        end
      end
    end
  
    # This responds to the "Responder" interface as expected by Errata.
    # Basically it lets you say "Is a DC plane" in the errata file and
    # have it map to a Ruby method.
    class Guru
      def is_a_dc_plane?(row)
        row['Designator'] =~ /^DC\d/i
      end
      def is_a_g159?(row)
        row['Designator'] =~ /^G159$/
      end
      def is_a_galx?(row)
        row['Designator'] =~ /^GALX$/
      end
      def method_missing(method_id, *args, &block)
        if method_id.to_s =~ /\Ais_n?o?t?_?attributed_to_([^\?]+)/
          manufacturer_name = $1
          manufacturer_regexp = Regexp.new(manufacturer_name.gsub('_', ' ?'), Regexp::IGNORECASE)
          matches = manufacturer_regexp.match(args.first['Manufacturer']) # row['Manufacturer'] =~ /mcdonnell douglas/i
          method_id.to_s.include?('not_attributed') ? matches.nil? : !matches.nil?
        else
          super
        end
      end
    end
  
    data_miner do
      # In our app, we defined DataMiner::Run.allowed? to return false if a run
      # has taken place in the last hour (among other things).
      # By raising DataMiner::Skip, we skip this run but call it a success.
      process "Don't re-import too often" do
        raise DataMiner::Skip unless DataMiner::Run.allowed? Aircraft
      end
    
      # The FAA publishes a document to help people identify aircraft by different names.
      ('A'..'Z').each do |letter|
        import( "ICAO aircraft codes starting with the letter #{letter} used by the FAA",
                # The master URL of the source file (one for every letter)
                :url => "http://www.faa.gov/air_traffic/publications/atpubs/CNT/5-2-#{letter}.htm",
                # The RFC-style errata... note that it will use the Guru class we defined above. See the Errata gem for more details.
                :errata => Errata.new(:url => 'http://spreadsheets.google.com/pub?key=tObVAGyqOkCBtGid0tJUZrw', :responder => Aircraft::Guru.new),
                # If it's not UTF-8, you should say what it is so that we can iconv it!
                :encoding => 'windows-1252',
                # Nokogiri is being used to grab each row starting from the second
                :row_xpath => '//table/tr[2]/td/table/tr',
                # ditto... XPath for Nokogiri
                :column_xpath => 'td' ) do
          # The code that they use is in fact the ICAO code!
          key 'icao_code', :field_name => 'Designator'
          # We get this for free
          store 'manufacturer_name', :field_name => 'Manufacturer'
          # ditto
          store 'name', :field_name => 'Model'
          # Use the loose-tight dictionary.
          # It gets the entire input row to play with before deciding on an output.
          store 'bts_aircraft_type_code', :matcher => Aircraft::BtsMatcher.new(:bts_aircraft_type_code)
          store 'bts_name', :matcher => Aircraft::BtsMatcher.new(:bts_name)
        end
      end

      # Pull in some data that might only be important to Brighter Planet
      import "Brighter Planet's aircraft class codes",
             :url => 'http://static.brighterplanet.com/science/data/transport/air/bts_aircraft_type/bts_aircraft_types-brighter_planet_aircraft_classes.csv' do
        key   'bts_aircraft_type_code', :field_name => 'bts_aircraft_type'
        store 'brighter_planet_aircraft_class_code'
      end

      # Pull in fuel use equation (y = m3*x^3 + m2*x^2 + m1*x + endpoint_fuel).
      # This data comes from the EEA.
      import "pre-calculated fuel use equation coefficients",
             :url => 'http://static.brighterplanet.com/science/data/transport/air/fuel_use/aircraft_fuel_use_formulae.ods',
             :select => lambda { |row| row['ICAO'].present? or row['Aircraft Name'].present? } do
        # We want to key on ICAO code, but since it's sometimes missing, use the loose-tight dictionary we defined above.
        key   'icao_code', :matcher => Aircraft::FuelUseMatcher.new
        # Keep the name for sanity checking. Yes, we have 3 different "name" fields... they should all refer to the same aircraft.
        store 'fuel_use_aircraft_name', :field_name => 'Aircraft Name'
        store 'm3'
        store 'm2'
        store 'm1'
        store 'endpoint_fuel', :field_name => 'b'
      end
    
      # Use arel and the weighted_average gem to do some crazy averaging.
      # This assumes that you're dealing with the BTS T-100 flight segment data.
      # See http://data.brighterplanet.com/flight_segments for a pre-sanitized version.
      process "Derive some average flight characteristics from flight segments" do
        FlightSegment.run_data_miner!
        aircraft = Aircraft.arel_table
        segments = FlightSegment.arel_table

        conditional_relation = aircraft[:bts_aircraft_type_code].eq(segments[:bts_aircraft_type_code])
        update_all "seats         = (#{FlightSegment.weighted_average_relation(:seats,         :weighted_by => :passengers                                           ).where(conditional_relation).to_sql})"
        update_all "distance      = (#{FlightSegment.weighted_average_relation(:distance,      :weighted_by => :passengers                                           ).where(conditional_relation).to_sql})"
        update_all "load_factor   = (#{FlightSegment.weighted_average_relation(:load_factor,   :weighted_by => :passengers                                           ).where(conditional_relation).to_sql})"
        update_all "freight_share = (#{FlightSegment.weighted_average_relation(:freight_share, :weighted_by => :passengers                                           ).where(conditional_relation).to_sql})"
        update_all "payload       = (#{FlightSegment.weighted_average_relation(:payload,       :weighted_by => :passengers, :disaggregate_by => :departures_performed).where(conditional_relation).to_sql})"
      
        update_all "weighting = (#{segments.project(segments[:passengers].sum).where(aircraft[:bts_aircraft_type_code].eq(segments[:bts_aircraft_type_code])).to_sql})"
      end
    
      # And finally re-run the import of resources that depend on this resource.
      # Don't worry about calling Aircraft.run_data_miner! at the top of AircraftManufacturer's data_miner block;
      # that's the right way to do dependencies. It won't get called twice in the same run.
      [ AircraftManufacturer ].each do |synthetic_resource|
        process "Synthesize #{synthetic_resource}" do
          synthetic_resource.run_data_miner!
        end
      end
    end
  end

==Authors

* Seamus Abshere <seamus@abshere.net>
* Andy Rossmeissl <andy@rossmeissl.net>

==Copyright

Copyright (c) 2010 Brighter Planet. See LICENSE for details.