2 class GraphController < ApplicationController
5 def initialize(options)
7 @graph = options[:graph_type].new(size)
9 @graph.theme = { :colors => ['#000000', '#00FFFF', '#FFCC00', '#990033'],
10 :background_colors => ['#74ce00', '#ffffff'] }
11 @graph.font = File.expand_path('/usr/X11R6/lib/X11/fonts/TTF/Vera.ttf',
14 # fill in the data with the optional data name
15 #Check to see if multiple datasets, if so, fill them all!
16 #Sort by biggest first piece of data.
17 if options[:data].is_a?(Hash)
18 options[:data].sort {|a,b| b[1][0] <=> a[1][0]}.each do |dataset|
19 @graph.data(dataset[0], dataset[1])
21 #if each dataset nameless, will have only multiple arrays
22 elsif options[:data].size > 1 && options[:data].all? {|i| i.is_a?(Array)}
23 options[:data].each do |array|
24 @graph.data( options.fetch(:data_name, "Data"), array)
26 else #one dimensional array, just pass it in
27 @graph.data( options.fetch(:data_name, "Data"), options[:data] )
30 # set the labels or create an empty hash
31 @graph.labels = options[:interval_labels] \
32 if options.has_key?(:interval_labels) and \
33 options[:interval_labels].class == Hash
34 @graph.x_axis_label = options[:x_axis_label] \
35 if options.has_key?(:x_axis_label)
36 @graph.y_axis_label = options[:y_axis_label] \
37 if options.has_key?(:y_axis_label)
38 @graph.title = options[:title] if options.has_key?(:title)
40 @graph.minimum_value = 0.0
45 return([@graph.to_blob, {:disposition => 'inline', :type => 'image/png'}])
50 # produce a graph of votes per day during an election
52 @election = Election.find(params[:id])
53 data, labels = get_votes_per_day_data(@election)
55 graph = GruffGraff.new( :graph_type => Gruff::Line,
56 :data_name => @election.name,
58 :interval_labels => labels,
59 :title => "Voters Per Day",
60 :x_axis_label => "Data",
61 :y_axis_label =>"Number of Votes")
62 send_data(*graph.output)
65 #will place votes in a fixed number of intervals, and shows votes over time
66 def votes_per_interval
67 @election = Election.find(params[:id])
68 data, labels, scale = get_votes_per_interval_data(@election)
70 graph = GruffGraff.new( :graph_type => Gruff::Line,
71 :data_name => @election.name,
73 :interval_labels => labels,
74 :title => "Voters Over Time",
75 :x_axis_label => scale,
76 :y_axis_label => "Number of Votes")
77 send_data(*graph.output)
81 @election = Election.find(params[:id])
82 @election.results unless @election.borda_result
83 data, labels = get_borda_points(@election.borda_result)
85 graph = GruffGraff.new( :graph_type => Gruff::Bar,
86 :data_name => @election.name,
88 :interval_labels => labels,
89 :title => "Points Per Candidate",
90 :y_axis_label => "Points",
91 :x_axis_label => "Candidate")
92 send_data(*graph.output)
94 #Acording to Tufte, small, concomparitive, highly labeled data sets usually
95 #belong in tables. The following is a bar graph...but would it be better
98 @election = Election.find(params[:id])
100 alldata, labels = get_positions_info(@election)
101 @election.results unless @election.condorcet_result || @election.ssd_result
102 ranked_candidates = @election.condorcet_result.ranked_candidates.flatten
105 candidates = @election.candidates.sort.collect {|candidate| candidate.id}
106 candidates.each do |candidate|
107 names[candidate]= (Candidate.find(candidate)).name
110 ranked_candidates.each_with_index \
111 {|candidate, index| legend[names[candidate]] = alldata[index]}
113 graph = GruffGraff.new( :graph_type => Gruff::Bar,
115 :interval_labels => labels,
116 :title => "Times Voted in Each Position",
117 :y_axis_label => "Number of Times Ranked",
118 :x_axis_label => "Rank")
119 send_data(*graph.output)
123 @election = Election.find(params[:id])
124 @election.results unless @election.plurality_result || @election.approval_result
125 votes = @election.votes.size
127 names = @election.names_by_id
129 @election.plurality_result.points.each do |candidate, votes|
130 data[names[candidate]] = votes
133 pie = GruffGraff.new ( :graph_type => Gruff::Pie,
134 :title => "Percentage of First Place Votes",
136 send_data(*pie.output)
141 def get_positions_info(election)
144 rank_labels = Hash.new
146 #attach the ranking to the candidate's array to which is belongs
147 #creating a key if necessary
148 election.votes.each do |vote|
149 vote.rankings.each do |ranking|
151 unless buckets.has_key?(ranking.candidate_id)
152 buckets[ranking.candidate_id] = []
154 buckets[ranking.candidate_id] << ranking.rank
159 #count how many times each candidate has been ranked at a certain level
160 buckets.each_pair do |id, array|
161 (1..election.candidates.size).each do |i|
162 buckets2[id] = [] unless buckets2.has_key?(id)
163 buckets2[id] << (array.find_all {|rank| rank == i}).size
167 #sort by amount of 1st place votes
168 sorted_data = buckets2.values.sort {|a,b| b[0] <=> a[0]}
170 election.votes.each do |vote|
171 vote.rankings.size.times do |i|
172 rank_labels[i] = (i+1).to_s
176 return sorted_data, rank_labels
179 # generate the data and labels for each graph
180 def get_votes_per_day_data(election)
181 voter_days = Array.new
182 unique_days = Array.new
183 total_per_day = Array.new
184 election_days = Hash.new
186 #turn election startdate into date object, and create the range of election
187 startdate = Date.parse(election.startdate.to_s)
188 election_range = startdate..Date.today
190 # create a hash with all the dates of the election in String format
191 # referenced by their order in the election
192 election_range.each_with_index do |day, index|
193 election_days[index] = day.to_s
196 # Now I need to create an array with all the times votes were made
197 election.votes.each do |vote|
198 next unless vote.time
199 voter_days << Date.parse(vote.time.to_s)
203 # Now I need to count how many times each each date appears in voter_days,
204 # and put that number into a votes_per_day array, the 'data' for the graph
205 #Create an array of unique days from voter_days
206 voter_days.each do |day|
207 unless unique_days.any? {|date| date.eql?(day)}
213 #find all dates where those days = date at current index, put size of returned
214 #array into total_per_day
215 unique_days.each_with_index do |date, index|
216 total_per_day << (voter_days.select {|day| day.eql?(date)}).size
219 # return the data and the labels
220 return total_per_day, election_days
224 def get_votes_per_interval_data(election)
225 labels_hash = Hash.new
227 total_per_interval = Array.new
230 starttime = election.startdate
231 timedelta = Time.now - starttime
233 interval_length = timedelta/numcols
235 # Make a hash, buckets, indexed by time intervals and containing empty arrays
236 # The time object must come first in addition!
237 # i would start at 0, i+1 goes from 1 up till numcols
238 numcols.times {|i| buckets[starttime + ((i+1)*interval_length)] = []}
240 # Put votes into bucket according to the time interval to which they belong,
241 # referenced by their key
242 # Will build a graph over time, as each successive interval will have more
244 election.votes.each do |vote|
245 next unless vote.time
246 buckets.keys.sort.each do |inter|
248 buckets[inter] << vote
253 total_per_interval = buckets.keys.sort.collect {|key| buckets[key].size}
255 # Create the hash for the labels. Each graph has ten columns, and three
257 if timedelta < 2.hours #under two hours use minutes for labels
258 labels_hash[0] = starttime.min.to_s
259 labels_hash[(numcols/2)-1] = (starttime + (timedelta/2)).min.to_s
260 labels_hash[numcols-1] = Time.now.min.to_s
261 interval_type = "Minute of the Hour"
262 elsif timedelta < 2.days #more than 2 hours means use hours for labels
263 labels_hash[0] = starttime.hour.to_s
264 labels_hash[(numcols/2)-1] = (starttime + (timedelta/2)).hour.to_s
265 labels_hash[numcols-1] = Time.now.hour.to_s
266 interval_type = "Hour of the Day on 24 hour scale"
267 else #more than 2 days means use dates for labels
268 labels_hash[0] = (Date.parse(starttime.to_s)).to_s
269 labels_hash[(numcols/2)-1] = (Date.parse((starttime + (timedelta/2)).to_s)).to_s
270 labels_hash[numcols-1] = (Date.today).to_s
271 interval_type = "The Date"
274 # Make sure to return an array for data and hash for labels
275 return total_per_interval, labels_hash, interval_type
278 def get_borda_points(result)
282 #Populate points with an sorted array from election.votes hash
283 #biggest to smallest will go from left to right
284 points = result.points.sort do |a, b|
286 end.collect {|i| i[1]}
289 result.ranked_candidates.each_with_index do |candidate, index|
290 labels[index] = Candidate.find(candidate).name
293 return points, labels
296 #most vote result objects require an array of vote arrays, which this will make
297 def make_preference_tally(election)
298 preference_tally = Array.new
299 @election.voters.each do |voter|
300 next unless voter.voted?
301 preference_tally << voter.vote.rankings.sort.collect \
302 { |ranking| ranking.candidate.id }
304 return preference_tally