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Contents
module Quandl
module Fabricate
class Data
def self.rand(*args)
new(*args).random
end
attr_accessor :attributes, :offset, :rows, :columns, :frequency, :data, :nils
def initialize(*args)
self.attributes = default_options.merge args.extract_options!
end
def to_csv(*args)
data.collect(&:to_csv).join
end
def random_column
self.columns = 1
random
end
def random
data = []
index = 0
until data.count >= rows
data << row(index) unless nils
index += 1
end
Quandl::Data.new( data ).to_precision!(14).sort_descending
end
def row(index)
row = [ date(index) ]
columns.times{|column_index| row << point(index, column_index) }
row
end
def date(index)
(Date.today - ( index * ( frequencies[frequency] ) - offset ))
end
def point(row_index, column_index)
percent = ( (rand(10).to_f / 1000) ) - ( (rand(10).to_f / 850) ) + 1
# increase the value
trending_point[column_index] ||= column_index * column_index + 10
trending_point[column_index] = trending_point[column_index] * percent
# increase
nils ? nil : trending_point[column_index]
end
def trending_point
@trending_point ||= {}
end
def nils
@nils == false ? false : rand(6) == 1
end
def frequencies
{daily: 1, weekly: 7, monthly: 30, quarterly: 90, annual: 365}
end
def default_options
{
offset: 1,
rows: 20 + rand(100),
columns: 2 + rand(4),
frequency: :daily,
monkey: 6
}
end
def attributes
@attributes ||= {}
end
def attributes=(attrs)
assign_attributes(attrs)
attributes
end
# mass assignment protection
def assign_attributes(attrs)
attrs.each do |name, value|
self.send("#{name}=", value) if self.respond_to?("#{name}=")
end
end
end
end
end
Version data entries
10 entries across 10 versions & 1 rubygems