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46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import plac
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from pathlib import Path
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from .converters import conllu2json, iob2json, conll_ner2json
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from ..util import prints
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# Converters are matched by file extension. To add a converter, add a new
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# entry to this dict with the file extension mapped to the converter function
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# imported from /converters.
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CONVERTERS = {
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'conllu': conllu2json,
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'conll': conllu2json,
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'ner': conll_ner2json,
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'iob': iob2json,
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}
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@plac.annotations(
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input_file=("input file", "positional", None, str),
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output_dir=("output directory for converted file", "positional", None, str),
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n_sents=("Number of sentences per doc", "option", "n", int),
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converter=("Name of converter (auto, iob, conllu or ner)", "option", "c", str),
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morphology=("Enable appending morphology to tags", "flag", "m", bool))
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def convert(input_file, output_dir, n_sents=1, morphology=False, converter='auto'):
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"""
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Convert files into JSON format for use with train command and other
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experiment management functions.
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"""
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input_path = Path(input_file)
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output_path = Path(output_dir)
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if not input_path.exists():
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prints(input_path, title="Input file not found", exits=1)
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if not output_path.exists():
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prints(output_path, title="Output directory not found", exits=1)
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if converter == 'auto':
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converter = input_path.suffix[1:]
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if converter not in CONVERTERS:
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prints("Can't find converter for %s" % converter,
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title="Unknown format", exits=1)
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func = CONVERTERS[converter]
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func(input_path, output_path,
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n_sents=n_sents, use_morphology=morphology)
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