# -*- coding: utf-8 -*-
"""
list prompt example
"""
from __future__ import print_function, unicode_literals

from pprint import pprint

from PyInquirer import prompt, Separator
from examples import custom_style_2


import os
from text_to_speech import text_to_speech, resample
from translator import llm_translator
from encode import encode_lc3

ANNOUNCEMENT_DIR = os.path.join(os.path.dirname(__file__), 'announcements')

def synthesize_resample_encode(text, tts_model, output_file):
    text_to_speech.synthesize(text, tts_model, output_file)
    resample.resample(output_file, output_file)
    encode_lc3.encode_lc3(output_file)


def announcement_from_german_text(test_de):
    synthesize_resample_encode(test_de, 'de_DE-kerstin-low', f'{ANNOUNCEMENT_DIR}/announcement_de.wav')

    text_en = llm_translator.translator_de_en(test_de)
    synthesize_resample_encode(text_en, 'en_US-lessac-medium', f'{ANNOUNCEMENT_DIR}/announcement_en.wav')

    text_fr = llm_translator.translator_de_fr(test_de)
    synthesize_resample_encode(text_fr, 'fr_FR-siwis-medium', f'{ANNOUNCEMENT_DIR}/announcement_fr.wav')

    text_fr = llm_translator.translator_de_es(test_de)
    synthesize_resample_encode(text_fr, 'es_ES-sharvard-medium', f'{ANNOUNCEMENT_DIR}/announcement_fr.wav')

# questions = [
#     {
#         'type': 'list',
#         'name': 'theme',
#         'message': 'What type of annoucement would you like to make?',
#         'choices': [
#             'predefined',
#             'custom',
#             'audio'
#         ]
#     },
# ]

# answers = prompt(questions, style=custom_style_2)
# pprint(answers)

if __name__ == '__main__':
    import time
    from test_content import test_content
    import logging as log
    log.basicConfig(level=log.INFO)

    start= time.time()
    announcement_from_german_text(test_content.TESTSENTENCE_DE_RAINBOW)
    print("Generating the announcement took", time.time() - start)