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# beam-playground:
#   name: CoGroupByKey
#   description: Task from katas to implement a CoGroupByKey transform that join words by its first
#     alphabetical letter, and then produces the string representation of the WordsAlphabet model.
#   multifile: false
#   pipeline_options:
#   categories:
#     - Combiners

import apache_beam as beam

from log_elements import LogElements


class WordsAlphabet:

    def __init__(self, alphabet, fruit, country):
        self.alphabet = alphabet
        self.fruit = fruit
        self.country = country

    def __str__(self):
        return "WordsAlphabet(alphabet:'%s', fruit='%s', country='%s')" % (self.alphabet, self.fruit, self.country)


def apply_transforms(fruits, countries):
    def map_to_alphabet_kv(word):
        return (word[0], word)

    def cogbk_result_to_wordsalphabet(cgbk_result):
        (alphabet, words) = cgbk_result
        return WordsAlphabet(alphabet, words['fruits'][0], words['countries'][0])

    fruits_kv = (fruits | 'Fruit to KV' >> beam.Map(map_to_alphabet_kv))
    countries_kv = (countries | 'Country to KV' >> beam.Map(map_to_alphabet_kv))

    return ({'fruits': fruits_kv, 'countries': countries_kv}
            | beam.CoGroupByKey()
            | beam.Map(cogbk_result_to_wordsalphabet))


with beam.Pipeline() as p:

  fruits = p | 'Fruits' >> beam.Create(['apple', 'banana', 'cherry'])
  countries = p | 'Countries' >> beam.Create(['australia', 'brazil', 'canada'])

  (apply_transforms(fruits, countries)
   | LogElements())

