spaCy/spacy/cli/convert.py
2018-01-04 21:33:47 +01:00

46 lines
1.6 KiB
Python

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