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__init__.py
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__init__.py
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from . import log
import logging, coloredlogs
from pandas import DataFrame
class ListHandler(logging.Handler):
def __init__(self, log_list):
logging.Handler.__init__(self)
logging.basicConfig(format='%(levelname)s - %(message)s')
self.log_list = log_list
self.level_dict = {0: "Not Set", 10: "Debug", 20: "Info", 30: "Warning", 40: "Error", 50: "Critical"}
def emit(self, record):
self.log_list.append({'level': self.level_dict[record.levelno], 'msg': record.msg, 'levelno': record.levelno})
logger = log.setup_logger('root')
SAMPLE_DATA_OBJ = [
{
'audio': [{'speaker': 'AP', 'filename': 'ap_red.mp3'}, {'speaker': 'AR', 'filename': 'ar_red.mp3'}],
'definition': 'red',
'definition_audio': [{'speaker': 'AP', 'filename': 'ap_red_def.mp3'}, {'speaker': 'AR', 'filename': 'ar_red_def.mp3'}],
'entryID': '1',
'example_sentence': ['Har du røde øjne?', 'Døde røde rødøjede rådne røgede ørreder.'],
'example_sentence_audio': [[{'speaker': 'AP', 'filename': 'ap_sent1.mp3'}, {'speaker': 'AR', 'filename': 'ar_sent1.mp3'}], [{'speaker': 'AP', 'filename': 'ap_sent2.mp3'}, {'speaker': 'AR', 'filename': 'ar_sent2.mp3'}]],
'example_sentence_definition': ['Do you have red eyes?', 'Dead, red, red-eyed, rotten, smoked trout.'],
'example_sentence_definition_audio': [[{'speaker': 'AP', 'filename': 'ap_def_sent1.mp3'}, {'speaker': 'AR', 'filename': 'ar_def_sent1.mp3'}], [{'speaker': 'AP', 'filename': 'ap_def_sent2.mp3'}, {'speaker': 'AR', 'filename': 'ar_def_sent2.mp3'}]],
'img': 'hund.png',
'optional': [{'Part of Speech': 'adjective'}, {'Source': 'test_data'}],
'secondary_theme': 'basic',
'theme': 'colours',
'word': 'rød'}
]
SAMPLE_DATA_OBJ_REDUCED = [
{
'audio': [{'speaker': 'AP', 'filename': 'ap_red.mp3'}],
'definition': 'red',
'definition_audio': [{'speaker': 'AP', 'filename': 'ap_red_def.mp3'}],
'entryID': '1',
'example_sentence': ['Har du røde øjne?'],
'example_sentence_audio': [[{'speaker': 'AP', 'filename': 'ap_sent1.mp3'}]],
'example_sentence_definition': ['Do you have red eyes?'],
'example_sentence_definition_audio': [[{'speaker': 'AP', 'filename': 'ap_def_sent1.mp3'}]],
'img': 'hund.png',
'optional': [{'Part of Speech': 'adjective'}, {'Source': 'test_data'}],
'secondary_theme': 'basic',
'theme': 'colours',
'word': 'rød'}
]
SAMPLE_DATA_OBJ_REDUCED_EMPTY = [
{
'audio': [{'speaker': 'AP', 'filename': 'ap_red.mp3'}],
'definition': 'red',
'definition_audio': [{'speaker': 'AP', 'filename': 'ap_red_def.mp3'}],
'entryID': '1',
'example_sentence': ['Har du røde øjne?'],
'example_sentence_audio': [[{'speaker': 'AP', 'filename': 'ap_sent1.mp3'}]],
'example_sentence_definition': ['Do you have red eyes?'],
'example_sentence_definition_audio': [[{'speaker': 'AP', 'filename': 'ap_def_sent1.mp3'}]],
'img': 'hund.png',
'optional': [{'Part of Speech': 'adjective'}, {'Source': 'test_data'}],
'secondary_theme': 'basic',
'theme': 'colours',
'word': 'rød'}
]
SAMPLE_DATA_OBJ_BLANK = [
{
'audio': [{'speaker': 'AP', 'filename': 'ap_red.mp3'}, {'speaker': 'AR', 'filename': 'ar_red.mp3'}],
'definition': 'red',
'definition_audio': [{'speaker': 'AP', 'filename': 'ap_red_def.mp3'}, {'speaker': '', 'filename': ''}],
'entryID': '1',
'example_sentence': ['Har du røde øjne?', 'Døde røde rødøjede rådne røgede ørreder.'],
'example_sentence_audio': [[{'speaker': 'AP', 'filename': 'ap_sent1.mp3'}, {'speaker': 'AR', 'filename': 'ar_sent1.mp3'}], [{'speaker': 'AP', 'filename': 'ap_sent2.mp3'}, {'speaker': 'AR', 'filename': 'ar_sent2.mp3'}]],
'example_sentence_definition': ['Do you have red eyes?', 'Dead, red, red-eyed, rotten, smoked trout.'],
'example_sentence_definition_audio': [[{'speaker': 'AP', 'filename': 'ap_def_sent1.mp3'}, {'speaker': 'AR', 'filename': 'ar_def_sent1.mp3'}], [{'speaker': 'AP', 'filename': 'ap_def_sent2.mp3'}, {'speaker': 'AR', 'filename': 'ar_def_sent2.mp3'}]],
'img': 'hund.png',
'optional': [{'Part of Speech': 'adjective'}, {'Source': 'test_data'}],
'secondary_theme': 'basic',
'theme': 'colours',
'word': 'rød'}
]
SAMPLE_DATA_DF = DataFrame(SAMPLE_DATA_OBJ)
SAMPLE_DATA_DF_REDUCED = DataFrame(SAMPLE_DATA_OBJ_REDUCED)
SAMPLE_DATA_DF_REDUCED_EMPTY = DataFrame(SAMPLE_DATA_OBJ_REDUCED_EMPTY)