Class: Remi::Testing::BusinessRules::DataSubject

Inherits:
Object
  • Object
show all
Defined in:
lib/remi/testing/business_rules.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(name, subject) ⇒ DataSubject

Returns a new instance of DataSubject.



256
257
258
259
260
261
262
 
# File 'lib/remi/testing/business_rules.rb', line 256

def initialize(name, subject)
  @name = name
  @data_subject = subject
  @fields = DataFieldCollection.new

  stub_data
end

Instance Attribute Details

#data_subject ⇒ Object (readonly)

Returns the value of attribute data_subject.



265
266
267
 
# File 'lib/remi/testing/business_rules.rb', line 265

def data_subject
  @data_subject
end

#name ⇒ Object (readonly)

Returns the value of attribute name.



264
265
266
 
# File 'lib/remi/testing/business_rules.rb', line 264

def name
  @name
end

Instance Method Details

#add_field(field_name) ⇒ Object 



267
268
269
 
# File 'lib/remi/testing/business_rules.rb', line 267

def add_field(field_name)
  @fields.add_field(self, field_name)
end

#append_data_with(example) ⇒ Object 



344
345
346
 
# File 'lib/remi/testing/business_rules.rb', line 344

def append_data_with(example)
  @data_subject.df = @data_subject.df.concat example_to_df(example)
end

#column_hash ⇒ Object

Public: Converts the data subject to a hash where the keys are the table columns and the values are an array for the value of column for each row.



289
290
291
292
293
294
 
# File 'lib/remi/testing/business_rules.rb', line 289

def column_hash
  @data_subject.df.to_h.reduce({}) do |h, (k,v)|
    h[k.symbolize] = v.to_a
    h
  end
end

#csv_options ⇒ Object 



404
405
406
 
# File 'lib/remi/testing/business_rules.rb', line 404

def csv_options
  @data_subject.csv_options
end

#cumulative_dist_from_freq_table(table, freq_field: 'frequency') ⇒ Object 



357
358
359
360
361
362
363
364
365
366
367
 
# File 'lib/remi/testing/business_rules.rb', line 357

def cumulative_dist_from_freq_table(table, freq_field: 'frequency')
  cumulative_dist = {}
  freq_total = 0
  table.hashes.each do |row|
    low = freq_total
    high = freq_total + row[freq_field].to_f
    freq_total = high
    cumulative_dist[(low...high)] =   row.tap { |r| r.delete(freq_field) }
  end
  cumulative_dist
end

#distribute_values(table) ⇒ Object 



384
385
386
387
388
389
390
391
392
 
# File 'lib/remi/testing/business_rules.rb', line 384

def distribute_values(table)
  cumulative_dist = cumulative_dist_from_freq_table(table)
  generated_data = generate_values_from_cumulative_dist(@data_subject.df.size, cumulative_dist)

  generated_data.each do |field_name, data_array|
    vector_name = fields[field_name].field_name
    @data_subject.df[vector_name] = Daru::Vector.new(data_array, index: @data_subject.df.index)
  end
end

#example_to_df(example) ⇒ Object 



329
330
331
332
333
334
335
336
337
 
# File 'lib/remi/testing/business_rules.rb', line 329

def example_to_df(example)
  df = example.to_df(@data_subject.df.row[0].to_h, field_symbolizer: @data_subject.field_symbolizer)
  data_subject.fields.each do |vector, metadata|
    if metadata[:type] == :json
      df[vector].recode! { |v| JSON.parse(v) rescue v }
    end
  end
  df
end

#field ⇒ Object 



271
272
273
 
# File 'lib/remi/testing/business_rules.rb', line 271

def field
  @fields.only
end

#fields ⇒ Object 



275
276
277
 
# File 'lib/remi/testing/business_rules.rb', line 275

def fields
  @fields
end

#freq_by(*field_names) ⇒ Object 



394
395
396
 
# File 'lib/remi/testing/business_rules.rb', line 394

def freq_by(*field_names)
  @data_subject.df.group_by(field_names).size * 1.0 / @data_subject.df.size
end

#generate_values_from_cumulative_dist(n_records, cumulative_dist) ⇒ Object 



369
370
371
372
373
374
375
376
377
378
379
380
381
382
 
# File 'lib/remi/testing/business_rules.rb', line 369

def generate_values_from_cumulative_dist(n_records, cumulative_dist)
  # Use the same key for reproducible tests
  psuedorand = Random.new(3856382695386)

  1.upto(n_records).reduce({}) do |h, idx|
    r = psuedorand.rand
    row_as_hash = cumulative_dist.select { |range| range.include? r }.values.first
    row_as_hash.each do |field_name, value|
      h[field_name] ||= []
      h[field_name] << value
    end
    h
  end
end

#get_attrib(name) ⇒ Object 



283
284
285
 
# File 'lib/remi/testing/business_rules.rb', line 283

def get_attrib(name)
  @data_subject.send(name)
end

#replicate_rows(n_rows) ⇒ Object 



349
350
351
352
353
354
355
 
# File 'lib/remi/testing/business_rules.rb', line 349

def replicate_rows(n_rows)
  replicated_df = Daru::DataFrame.new([], order: @data_subject.df.vectors.to_a)
  @data_subject.df.each do |vector|
    replicated_df[vector.name] = vector.to_a * n_rows
  end
  @data_subject.df = replicated_df
end

#size ⇒ Object 



279
280
281
 
# File 'lib/remi/testing/business_rules.rb', line 279

def size
  @data_subject.df.size
end

#stub_data ⇒ Object 



325
326
327
 
# File 'lib/remi/testing/business_rules.rb', line 325

def stub_data
  @data_subject.stub_df if @data_subject.respond_to? :stub_df
end

#stub_data_with(example) ⇒ Object 



339
340
341
342
 
# File 'lib/remi/testing/business_rules.rb', line 339

def stub_data_with(example)
  stub_data
  @data_subject.df = example_to_df(example)
end

#unique_integer_field(field_name) ⇒ Object 



398
399
400
401
402
 
# File 'lib/remi/testing/business_rules.rb', line 398

def unique_integer_field(field_name)
  vector_name = fields[field_name].field_name
  i = 0
  @data_subject.df[vector_name].recode! { |v| i += 1 }
end

#where(field_name, operation) ⇒ Object

Would like to have this return a new DataSubject and not a dataframe. Need more robust duping to make that feasible. Don’t use results for anything more than size.



299
300
301
 
# File 'lib/remi/testing/business_rules.rb', line 299

def where(field_name, operation)
  @data_subject.df.where(@data_subject.df[field_name.symbolize(@data_subject.field_symbolizer)].recode { |v| operation.call(v) })
end

#where_between(field_name, low_value, high_value) ⇒ Object 



315
316
317
 
# File 'lib/remi/testing/business_rules.rb', line 315

def where_between(field_name, low_value, high_value)
  where(field_name, ->(v) { v.to_f.between?(low_value.to_f, high_value.to_f) })
end

#where_gt(field_name, value) ⇒ Object 



311
312
313
 
# File 'lib/remi/testing/business_rules.rb', line 311

def where_gt(field_name, value)
  where(field_name, ->(v) { v.to_f > value.to_f })
end

#where_in(field_name, list) ⇒ Object 



319
320
321
322
 
# File 'lib/remi/testing/business_rules.rb', line 319

def where_in(field_name, list)
  list_array = list.split(',').map { |v| v.strip }
  where(field_name, ->(v) { list_array.include?(v) })
end

#where_is(field_name, value) ⇒ Object 



303
304
305
 
# File 'lib/remi/testing/business_rules.rb', line 303

def where_is(field_name, value)
  where(field_name, ->(v) { v == value })
end

#where_lt(field_name, value) ⇒ Object 



307
308
309
 
# File 'lib/remi/testing/business_rules.rb', line 307

def where_lt(field_name, value)
  where(field_name, ->(v) { v.to_f < value.to_f })
end