Main brez modelov
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import classla
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import time
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from swagger_server import util
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from pathlib import Path
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import re
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nlp_loaded = False
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nlpSlo = classla.Pipeline('sl', processors='tokenize,ner,pos,lemma,depparse')
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nlp_loaded = True
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sent_extractor = re.compile(r"# sent_id = \d+\.\d+(.*?)\n\n", re.MULTILINE | re.DOTALL)
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def raw_text_to_conllu(text):
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try:
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docall = nlpSlo(text)
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docallconllu = docall.to_conll()
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return docallconllu, 200
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except Exception as e:
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return e, 400
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def multipla_conllus_to_one_from_file_ids(list_file_ids):
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sent_cnt = 1
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ret = "# newpar id = 1\n"
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files = [f'{util.get_conllu_file_path_by_id(i)}' for i in list_file_ids]
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for file in files:
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txt = Path(file).read_text('utf-8')
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matches = sent_extractor.finditer(txt)
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for match in matches:
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ret += f'# sent_id = 1.{sent_cnt}{match.group(1)}\n\n'
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sent_cnt += 1
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return ret
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def multipla_conllus_to_one_from_conllus_arr(list_conllus):
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sent_cnt = 1
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ret = "# newpar id = 1\n"
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for conllu in list_conllus:
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conllu = conllu.replace('\r\n', '\n')
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matches = sent_extractor.finditer(conllu)
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for match in matches:
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ret += f'# sent_id = 1.{sent_cnt}{match.group(1)}\n\n'
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sent_cnt += 1
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return ret
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