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# Parses dialogue from the show Friends provided by the Character Mining project
# https://github.com/emorynlp/character-mining
# The tsv file can be downloaded with
# wget https://raw.githubusercontent.com/gmihaila/character-mining/developer/tsv/friends_transcripts.tsv
import argparse
import csv
import re
import tqdm
from clean import clean
class InvalidFormatError(Exception):
pass
class InvalidUtteranceError(Exception):
pass
def valid_csv(dict_reader):
return (dict_reader.fieldnames is not None and
set(dict_reader.fieldnames) == {'season_id', 'episode_id', 'scene_id', 'utterance_id', 'speaker', 'tokens', 'transcript'})
def format_conversation_metadata(utterance):
return f'[Title: Friends Season {utterance["season_id"]}]'
def format_utterance(utterance):
speaker = utterance['speaker']
# there are some invalid lines with the speaker "unknown"
if speaker == 'unknown':
raise InvalidUtteranceError()
# remove parenthetical description of characters
speaker = re.sub(r'\(.*\)', '', speaker)
speaker = speaker.strip()
line = clean(utterance['transcript'])
# there are some invalid empty lines
if line == '':
raise InvalidUtteranceError()
return f'{speaker}: {line}'
def different_conversations(utterance1, utterance2):
return (utterance1['season_id'] != utterance2['season_id'] or
utterance1['episode_id'] != utterance2['episode_id'] or
utterance1['scene_id'] != utterance2['scene_id'])
def parse_dialogue(in_filename, out_filename):
with open(in_filename, 'r', encoding='utf-8') as in_file, open(out_filename, 'w', encoding='utf-8') as out_file:
reader = csv.DictReader(in_file, delimiter='\t')
if not valid_csv(reader):
raise InvalidFormatError(f'{in_filename} is not formatted correctly')
last_utterance = None
for utterance in tqdm.tqdm(reader):
if last_utterance is None or different_conversations(last_utterance, utterance):
out_file.write(f'⁂\n{format_conversation_metadata(utterance)}\n⁂\n')
try:
out_file.write(f'{format_utterance(utterance)}\n')
except InvalidUtteranceError:
pass
last_utterance = utterance
parser = argparse.ArgumentParser(description='Process Friends dialogue\n\n'
'The data is taken from\n'
'https://github.com/emorynlp/character-mining\n\n'
'It can be downloaded with\n'
'wget https://raw.githubusercontent.com/emorynlp/character-mining/master/tsv/friends_transcripts.tsv',
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('file', type=str, help='tsv file to process')
parser.add_argument('-o', '--out', type=str, help='file to output', default='friends_dialogue.txt')
args = parser.parse_args()
if __name__ == '__main__':
try:
parse_dialogue(args.file, args.out)
except (FileNotFoundError, InvalidFormatError) as e:
print(e)
exit(1)
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