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Created July 17, 2009 23:38
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# SANDBOX EXAMPLE
#===========================================================================================================
# RAKE FILE START
#===========================================================================================================
desc "Perform Calculations"
task :calc => :environment do
# Category
update_category = StatModel.new
rownum_one, rating_one = update_category.calculate_rating(ModelOne, "fieldone", "sortorder")
rownum_two, rating_two = update_category.calculate_rating(ModelTwo, "fieldtwo", "sortorder")
rownum_three, rating_three = update_category.calculate_rating(ModelThree, "fieldthree", "sortorder")
# When data is completely retrieved I want to make a call to the table_update method in StatModel
update_category.table_update("StatModel", STAT_RATING,
rownum_one, rating_one,
rownum_two, rating_two,
rownum_three, rating_three)
end
#===========================================================================================================
# RAKE FILE END
#===========================================================================================================
#===========================================================================================================
# StatModel START
#===========================================================================================================
class StatModel < ActiveRecord::Base
belongs_to :team
# this method is used for pulling model data and sending it to a calculation file
def calculate_rating(modelname, fieldname, direction)
foreignkey, rating = [], []
var = model.find(:all, :order => fieldname + " #{direction}")
calc = Mathclass.new(foreignkey, fieldname)
var.each_with_index do |rows, i|
foreignkey[i] = rows.team.id
fieldname[i] = rows.__send__(fieldname)
calc.mathvalues(foreignkey[i], fieldname[i])
end
calc.min_v # method returns the min value of the dataset
calc.max_v # method returns the max value of the dataset
calc.mean_v # method returns the mean value of the dataset
calc.std_v # method returns the standard deviation value of the dataset
calc.floor_v # method returns the floor value of std hemispheres
# the math values above are calculated after the first loop iteration is completed.
# in order to perform the next set of calculations I have to have these math values
# so I'm performing another loop on a different method because the math values
# will persist because the object has not been closed.
var.each_with_index do |rows, i|
foreignkey[i] = rows.team.id
fieldname[i] = rows.__send__(datavar)
rating[i] = calc.ratings(foreignkey[i], ratingvalue[i])
end
return foreignkey, rating # this return set is returned back to the rake file, populating rownum_x and rating_x
end
# this method is meant to be used for saving table data
def table_update(model, constant, id_one, val_one, id_two, val_two, id_three, val_three)
if model.compiled_this_week.find(:all).empty?
var = model.compiled_this_week.find(:all)
var.rows.each do |row|
values = {:compiled_on => Date.today.strftime('%Y-%m-%d')}
# Constant represents STAT_RATING constant in Environment.rb below
constant.each_with_index do |field, i|
values[field] = row[i]
end
model.create values
end
else
# data is already populated for the week so don't update
puts "Current Week's Ratings are Already updated!"
end
end
end
#===========================================================================================================
# StatModel END
#===========================================================================================================
#===========================================================================================================
# Math Class START (exists in libs\ directory as a standard ruby file
#===========================================================================================================
class Mathclass
# I can't show any of this file because it really is all math calculations and I can't mock this file either.
# After methods are called to this file it returns two values to rating[i] in the model above.
# These values are the foreignkey and the ratingvalue values.
end
#===========================================================================================================
# Math Class END
#===========================================================================================================
#===========================================================================================================
# Environment.rb START
#===========================================================================================================
# This represents all of the fields in the example table, including the foreignkey, the three fields, and a compiled_on which is type of date.
# I wish to use this constant in my table saving routine.
STAT_RATING = [:team_id, :fieldone, :fieldtwo, :fieldthree, :compiled_on]
#===========================================================================================================
# Environment.rb END
#===========================================================================================================
#===========================================================================================================
# TableModel START (represents all 37 tables)
#===========================================================================================================
class InheritanceTemplate < ActiveRecord::Base
# this is a templated model so it's an abstract class that represents all 37 models/tabels
self.abstract_class = true
belongs_to :team
# named scope is used to determine the compiled_on date
named_scope :compiled_this_week, lambda { { :conditions => ['created_at > ? and created_at < ?', Time.now.beginning_of_week, Time.now.end_of_week] } }
end
#===========================================================================================================
# Table Model END
#===========================================================================================================
#===========================================================================================================
# Mechanics START
#===========================================================================================================
# Rake task is issued
# StatModel is contacted
# StatModel contacts TableModel and pulls data
# StatModel contacts Mathclass file and data is calculated and returned to StatModel
# StatModel returns the data to Rake
# Rake houses the end data
# Rake wants to send the data back to StatModel through method table_update to save data (not sure how to implement this)
# When this process has completed, I now have:
# 120 rows of data for the following:
# rownum_one[0]..[119] , rating_one[0]..[119]
# rownum_two[0]..[119] , rating_two[0]..[119]
# rownum_three[0]..[119] , rating_three[0]..[119]
# rownum_x holds integer data 1..120 representing the team_id foreignkey
# rating_x holds float data 0.25 - 199.92 representing the rating assigned to the team_id foreignkey.
# Example Puts
puts "From [Rake] team_id = #{rownum_one[119]} and rating = #{rating_one[119]}"
=> From [Rake] team_id = 66 and rating = 81.25
puts "From [Rake] team_id = #{rownum_two[119]} and rating = #{rating_two[119]}"
=> From [Rake] team_id = 110 and rating = 56.99
puts "From [Rake] team_id = #{rownum_three[119]} and rating = #{rating_three[119]}"
=> From [Rake] team_id = 98 and rating = 27.93
# referencing a new key causes an empty has to be stored as the value
stats = Hash.new {|h,k| h[k] = {} }
# i will take on the same values as 0.upto(119)
120.times do |i|
stats[to_team_id[i]][:to] = to_ppcs[i]
stats[ro_team_id[i]][:ro] = ro_ppcs[i]
stats[po_team_id[i]][:po] = po_ppcs[i]
stats[so_team_id[i]][:so] = so_ppcs[i]
stats[rzo_team_id[i]][:rzo] = rzo_ppcs[i]
stats[flo_team_id[i]][:flo] = flo_ppcs[i]
stats[pio_team_id[i]][:pio] = pio_ppcs[i]
stats[too_team_id[i]][:too] = too_ppcs[i]
stats[sao_team_id[i]][:sao] = sao_ppcs[i]
stats[tflo_team_id[i]][:tflo] = tflo_ppcs[i]
stats[peo_team_id[i]][:peo] = peo_ppcs[i]
stats[fdo_team_id[i]][:fdo] = fdo_ppcs[i]
stats[tdco_team_id[i]][:tdco] = tdco_ppcs[i]
stats[fdco_team_id[i]][:fdco] = fdco_ppcs[i]
end
puts stats.inspect
# or this might be easier to read
require 'pp'
pp stats
{18=>{:sao=>2.42, :so=>27.0, :tflo=>6.08, :rzo=>0.85, :to=>398.83, :peo=>130.13, :flo=>7, :fdo=>19.83, :pio=>8, :tdco=>37.34, :ro=>203.33, :too=>15, :po=>195.5, :fdco=>44.44}, 55=>{:sao=>2.42, :so=>18.08, :tflo=>4.38, :to=>270.17, :rzo=>0.91, :peo=>94.95, :flo=>9, :fdo=>13.67, :pio=>8, :tdco=>28.85, :ro=>148.67, :too=>17, :po=>121.5, :fdco=>40.0}, 92=>{:sao=>2.31, :so=>21.0, :tflo=>7.69, :to=>308.31, :rzo=>0.78, :peo=>127.07, :flo=>13, :fdo=>16.77, :pio=>7, :ro=>121.38, :tdco=>36.73, :too=>20, :po=>186.92, :fdco=>47.06}, 74=>{:sao=>3.0, :so=>19.58, :tflo=>6.0, :rzo=>0.76, :to=>320.92, :peo=>109.59, :flo=>12, :fdo=>17.67, :pio=>20, :ro=>133.17, :tdco=>40.91, :too=>32, :fdco=>25.0, :po=>187.75}, 37=>{:sao=>1.62, :so=>35.38, :tflo=>6.31, :rzo=>0.87, :to=>450.77, :peo=>154.46, :flo=>17, :fdo=>22.69, :pio=>11, :ro=>169.77, :tdco=>47.19, :too=>28, :fdco=>38.46, :po=>281.0}, 111=>{:sao=>4.07, :so=>24.64, :tflo=>6.93, :rzo=>0.73, :to=>345.79, :peo=>126.69, :flo=>15, :fdo=>18.71, :pio=>22, :ro=>94.5, :tdco=>34.81, :too=>37, :fdco=>46.15, :po=>251.29}, 56=>{:sao=>1.31, :so=>31.46, :tflo=>4.69, :rzo=>0.84, :to=>426.0, :peo=>154.59, :flo=>9, :fdo=>21.0, :pio=>10, :ro=>148.31, :tdco=>42.04, :too=>19, :fdco=>46.15, :po=>277.69}, 93=>{:sao=>1.75, :so=>16.67, :tflo=>5.83, :rzo=>0.67, :to=>339.67, :peo=>110.96, :flo=>7, :fdo=>18.08, :pio=>15, :ro=>118.42, :tdco=>40.34, :too=>22, :fdco=>38.46, :po=>221.25}, 19=>{:sao=>1.75, :so=>26.25, :tflo=>5.5, :to=>351.75, :rzo=>0.91, :peo=>112.04, :flo=>10, :fdo=>18.75, :pio=>15, :tdco=>38.0, :ro=>199.58, :too=>25, :po=>152.17, :fdco=>60.0}, 75=>{:sao=>2.14, :so=>30.29, :tflo=>5.29, :to=>370.29, :rzo=>0.84, :peo=>138.93, :flo=>8, :fdo=>19.93, :pio=>6, :ro=>132.71, :tdco=>43.5, :too=>14, :po=>237.57, :fdco=>75.0}, 112=>{:sao=>3.0, :so=>20.77, :tflo=>6.38, :to=>316.54, :rzo=>0.85, :peo=>111.5, :flo=>11, :fdo=>18.54, :pio=>27, :ro=>94.08, :tdco=>38.89, :too=>38, :po=>222.46, :fdco=>66.67}, 1=>{:sao=>0.77, :so=>27.15, :tflo=>3.92, :to=>353.31, :rzo=>0.89, :peo=>131.57, :flo=>10, :fdo=>17.23, :pio=>5, :tdco=>47.49, :ro=>292.38, :too=>15, :po=>60.92, :fdco=>60.87}, 38=>{:sao=>2.08, :so=>28.67, :tflo=>6.42, :rzo=>0.82, :to=>438.83, :peo=>136.11, :flo=>10, :fdo=>21.42, :pio=>16, :tdco=>41.36, :ro=>169.5, :too=>26, :fdco=>33.33, :po=>269.33}, 94=>{:sao=>1.0, :so=>43.77, :tflo=>3.31, :rzo=>0.87, :to=>531.0, :peo=>158.76, :flo=>11, :fdo=>27.54, :pio=>10, :ro=>117.85, :tdco=>54.44, :too=>21, :fdco=>65.38, :po=>413.15}, 20=>{:sao=>0.93, :so=>51.14, :tflo=>4.29, :rzo=>0.93, :to=>547.86, :peo=>176.24, :flo=>2, :fdo=>27.57, :pio=>9, :ro=>198.5, :tdco=>51.27, :too=>11, :fdco=>52.17, :po=>349.36}, 57=>{:sao=>1.58, :so=>25.75, :tflo=>5.83, :to=>417.5, :rzo=>0.89, :peo=>122.14, :flo=>5, :fdo=>23.0, :pio=>13, :ro=>148.17, :tdco=>40.44, :too=>18, :fdco=>54.55, :po=>269.33}, 113=>{:sao=>2.83, :so=>22.83, :tflo=>5.67, :to=>309.42, :rzo=>0.85, :peo=>122.56, :flo=>7, :fdo=>17.08, :pio=>11, :tdco=>29.38, :ro=>89.08, :too=>18, :fdco=>38.46, :po=>220.33}, 2=>{:sao=>1.54, :so=>41.92, :tflo=>6.88, :rzo=>0.82, :to=>484.85, :peo=>125.91, :flo=>14, :fdo=>23.15, :pio=>12, :tdco=>39.56, :ro=>280.08, :too=>26, :fdco=>42.11, :po=>204.77}, 39=>{:sao=>1.92, :so=>22.75, :tflo=>4.83, :to=>366.17, :rzo=>0.85, :peo=>115.51, :flo=>9, :fdo=>18.5, :pio=>16, :tdco=>38.79, :ro=>168.92, :too=>25, :po=>197.25, :fdco=>45.45}, 76=>{:sao=>1.33, :so=>34.92, :tflo=>4.08, :rzo=>0.81, :to=>402.08, :peo=>135.12, :flo=>14, :fdo=>20.83, :pio=>10, :ro=>132.5, :tdco=>41.21, :too=>24, :fdco=>51.43, :po=>269.58}, 21=>{:sao=>2.33, :so=>28.0, :tflo=>6.33, :rzo=>0.79, :to=>376.42, :peo=>136.16, :flo=>6, :fdo=>19.75, :pio=>5, :tdco=>36.81, :ro=>195.75, :too=>11, :po=>180.67, :fdco=>57.14}, 58=>{:sao=>2.0, :so=>25.15, :tflo=>5.54, :rzo=>0.82, :to=>395.85, :peo=>130.67, :flo=>4, :fdo=>20.15, :pio=>16, :ro=>147.62, :tdco=>45.2, :too=>20, :fdco=>32.0, :po=>248.23}, 95=>{:sao=>2.21, :so=>25.86, :tflo=>5.29, :rzo=>0.82, :to=>370.64, :peo=>136.26, :flo=>15, :fdo=>19.43, :pio=>15, :tdco=>33.33, :ro=>117.64, :too=>30, :fdco=>42.86, :po=>253.0}, 3=>{:sao=>1.46, :so=>37.62, :tflo=>6.0, :rzo=>0.83, :to=>508.54, :peo=>126.95, :flo=>15, :fdo=>25.31, :pio=>9, :tdco=>40.5, :ro=>277.77, :too=>24, :fdco=>50.0, :po=>230.77}, 40=>{:sao=>1.0, :so=>32.77, :tflo=>4.46, :rzo=>0.85, :to=>414.23, :peo=>124.47, :flo=>12, :fdo=>22.38, :pio=>11, :tdco=>37.97, :ro=>167.62, :too=>23, :po=>246.62, :fdco=>69.57}, 77=>{:sao=>1.85, :so=>25.08, :tflo=>5.31, :to=>343.46, :rzo=>0.85, :peo=>116.06, :flo=>12, :fdo=>18.77, :pio=>10, :tdco=>34.55, :ro=>130.15, :too=>22, :po=>213.31, :fdco=>60.0}, 114=>{:sao=>3.25, :so=>25.0, :tflo=>6.67, :to=>340.92, :rzo=>0.81, :peo=>135.25, :flo=>15, :fdo=>18.58, :pio=>12, :ro=>88.5, :tdco=>45.18, :too=>27, :po=>252.42, :fdco=>63.16}, 22=>{:sao=>1.38, :so=>37.54, :tflo=>4.46, :rzo=>0.84, :to=>454.69, :peo=>163.06, :flo=>10, :fdo=>23.46, :pio=>12, :tdco=>45.83, :ro=>194.85, :too=>22, :fdco=>60.0, :po=>259.85}, 59=>{:sao=>1.83, :so=>20.25, :tflo=>7.75, :to=>290.75, :rzo=>0.77, :peo=>95.13, :flo=>18, :fdo=>15.5, :pio=>12, :tdco=>27.27, :ro=>147.58, :too=>30, :po=>143.17, :fdco=>70.0}, 96=>{:sao=>1.08, :so=>28.62, :tflo=>3.77, :rzo=>0.8, :to=>411.54, :peo=>143.93, :flo=>13, :fdo=>21.46, :pio=>10, :ro=>116.85, :tdco=>41.42, :too=>23, :fdco=>50.0, :po=>294.69}, 4=>{:sao=>1.46, :so=>24.38, :tflo=>5.62, :rzo=>0.77, :to=>372.46, :peo=>111.99, :flo=>20, :fdo=>16.46, :pio=>7, :tdco=>36.65, :ro=>273.23, :too=>27, :po=>99.23, :fdco=>42.86}, 41=>{:sao=>2.0, :so=>42.38, :tflo=>6.38, :rzo=>0.9, :to=>475.77, :peo=>175.02, :flo=>6, :fdo=>27.08, :pio=>8, :ro=>167.46, :tdco=>54.91, :too=>14, :po=>308.31, :fdco=>81.25}, 78=>{:sao=>2.08, :so=>27.08, :tflo=>6.54, :to=>326.0, :rzo=>0.94, :peo=>117.91, :flo=>5, :fdo=>16.92, :pio=>20, :tdco=>33.86, :ro=>129.23, :too=>25, :po=>196.77, :fdco=>68.42}, 115=>{:sao=>2.58, :so=>18.67, :tflo=>8.0, :to=>282.83, :rzo=>0.7, :peo=>116.78, :flo=>6, :fdo=>14.5, :pio=>13, :tdco=>28.81, :ro=>86.67, :too=>19, :fdco=>36.84, :po=>196.17}, 23=>{:sao=>1.31, :so=>27.15, :tflo=>5.23, :rzo=>0.87, :to=>417.23, :peo=>121.68, :flo=>5, :fdo=>23.77, :pio=>12, :ro=>194.85, :tdco=>46.43, :too=>17, :po=>222.38, :fdco=>52.63}, 60=>{:sao=>1.33, :so=>22.42, :tflo=>4.92, :to=>334.08, :rzo=>0.86, :peo=>116.85, :flo=>12, :fdo=>17.75, :pio=>8, :tdco=>35.0, :ro=>146.25, :too=>20, :po=>187.83, :fdco=>50.0}, 97=>{:sao=>3.83, :so=>21.92, :tflo=>7.83, :rzo=>0.79, :to=>373.08, :peo=>122.19, :flo=>7, :fdo=>19.33, :pio=>18, :ro=>113.5, :tdco=>36.93, :too=>25, :fdco=>53.85, :po=>259.58}, 5=>{:sao=>1.71, :so=>47.21, :tflo=>5.64, :rzo=>0.87, :to=>569.86, :peo=>174.46, :flo=>9, :fdo=>27.93, :pio=>21, :ro=>268.0, :tdco=>56.99, :too=>30, :fdco=>42.86, :po=>301.86}, 42=>{:sao=>2.33, :so=>20.5, :tflo=>5.92, :rzo=>0.67, :to=>348.17, :peo=>108.93, :flo=>10, :fdo=>17.0, :pio=>11, :tdco=>27.65, :ro=>166.92, :too=>21, :fdco=>26.09, :po=>181.25}, 79=>{:sao=>2.0, :so=>24.08, :tflo=>6.0, :rzo=>0.7, :to=>361.42, :peo=>130.62, :flo=>17, :fdo=>18.33, :pio=>14, :ro=>128.5, :tdco=>39.64, :too=>31, :fdco=>50.0, :po=>232.92}, 116=>{:sao=>2.92, :so=>17.67, :tflo=>7.08, :to=>283.25, :rzo=>0.83, :peo=>98.53, :flo=>8, :fdo=>16.33, :pio=>21, :ro=>82.75, :tdco=>35.45, :too=>29, :fdco=>18.18, :po=>200.5}, 24=>{:sao=>2.31, :so=>30.62, :tflo=>5.69, :rzo=>0.86, :to=>433.54, :peo=>127.57, :flo=>7, :fdo=>22.08, :pio=>9, :tdco=>44.02, :ro=>192.46, :too=>16, :po=>241.08, :fdco=>69.23}, 61=>{:sao=>2.15, :so=>21.77, :tflo=>5.85, :rzo=>0.8, :to=>350.69, :peo=>119.36, :flo=>12, :fdo=>17.92, :pio=>13, :ro=>144.0, :tdco=>39.43, :too=>25, :po=>206.69, :fdco=>53.33}, 98=>{:sao=>2.75, :so=>16.58, :tflo=>7.0, :to=>229.5, :rzo=>0.74, :peo=>86.66, :flo=>14, :fdo=>13.0, :pio=>11, :tdco=>29.26, :ro=>113.25, :too=>25, :po=>116.25, :fdco=>50.0}, 6=>{:sao=>0.38, :so=>26.77, :tflo=>5.46, :to=>349.08, :rzo=>0.88, :peo=>131.43, :flo=>11, :fdo=>18.54, :pio=>6, :tdco=>42.86, :ro=>266.92, :too=>17, :po=>82.15, :fdco=>54.17}, 43=>{:sao=>1.69, :so=>30.92, :tflo=>5.46, :to=>368.08, :rzo=>0.91, :peo=>117.44, :flo=>2, :fdo=>19.54, :pio=>18, :tdco=>38.25, :ro=>166.77, :too=>20, :fdco=>38.89, :po=>201.31}, 80=>{:sao=>1.46, :so=>29.0, :tflo=>5.46, :rzo=>0.78, :to=>398.38, :peo=>144.79, :flo=>5, :fdo=>20.31, :pio=>15, :ro=>128.0, :tdco=>40.49, :too=>20, :fdco=>40.0, :po=>270.38}, 117=>{:sao=>1.75, :so=>19.25, :tflo=>6.08, :to=>312.42, :rzo=>0.77, :peo=>111.02, :flo=>14, :fdo=>17.25, :pio=>11, :ro=>73.17, :tdco=>32.53, :too=>25, :fdco=>46.67, :po=>239.25}, 99=>{:sao=>2.54, :so=>25.15, :tflo=>6.92, :to=>329.38, :rzo=>0.81, :peo=>125.85, :flo=>13, :fdo=>18.15, :pio=>16, :tdco=>29.94, :ro=>111.54, :too=>29, :fdco=>38.1, :po=>217.85}, 25=>{:sao=>2.23, :so=>27.62, :tflo=>6.46, :to=>342.69, :rzo=>0.95, :peo=>137.86, :flo=>7, :fdo=>17.69, :pio=>6, :tdco=>43.02, :ro=>192.46, :too=>13, :po=>150.23, :fdco=>44.44}, 62=>{:sao=>2.23, :so=>41.31, :tflo=>4.92, :rzo=>0.89, :to=>470.92, :peo=>162.94, :flo=>9, :fdo=>25.92, :pio=>7, :ro=>143.69, :tdco=>51.11, :too=>16, :fdco=>47.06, :po=>327.23}, 7=>{:sao=>1.75, :so=>33.08, :tflo=>5.29, :rzo=>0.77, :to=>449.17, :peo=>138.63, :flo=>10, :fdo=>20.83, :pio=>15, :tdco=>47.47, :ro=>263.67, :too=>25, :fdco=>26.67, :po=>185.5}, 44=>{:sao=>2.23, :so=>27.62, :tflo=>5.77, :rzo=>0.78, :to=>405.0, :peo=>134.21, :flo=>10, :fdo=>22.38, :pio=>15, :ro=>165.38, :tdco=>47.67, :too=>25, :fdco=>42.86, :po=>239.62}, 81=>{:sao=>1.0, :so=>22.62, :tflo=>4.23, :to=>299.31, :rzo=>0.74, :peo=>102.4, :flo=>8, :fdo=>16.31, :pio=>13, :tdco=>31.44, :ro=>127.46, :too=>21, :po=>171.85, :fdco=>52.63}, 118=>{:sao=>3.75, :so=>22.17, :tflo=>7.17, :rzo=>0.74, :to=>355.58, :peo=>139.1, :flo=>13, :fdo=>18.33, :pio=>16, :ro=>54.25, :tdco=>36.78, :too=>29, :fdco=>40.54, :po=>301.33}, 26=>{:sao=>2.08, :so=>30.31, :tflo=>5.31, :rzo=>0.84, :to=>370.38, :peo=>130.03, :flo=>13, :fdo=>20.69, :pio=>11, :tdco=>40.88, :ro=>188.69, :too=>24, :po=>181.69, :fdco=>50.0}, 63=>{:sao=>1.57, :so=>24.71, :tflo=>4.5, :to=>319.36, :rzo=>0.84, 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