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			88 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			88 lines
		
	
	
		
			3.1 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 wasabi import Printer
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import srsly
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from .converters import conllu2json, conllubio2json, iob2json, conll_ner2json
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from .converters import ner_jsonl2json
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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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    "conllubio": conllubio2json,
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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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    "jsonl": ner_jsonl2json,
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}
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# File types
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FILE_TYPES = ("json", "jsonl")
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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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    file_type=("Type of data to produce: 'jsonl' or 'json'", "option", "t", 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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    lang=("Language (if tokenizer required)", "option", "l", str),
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    morphology=("Enable appending morphology to tags", "flag", "m", bool),
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)
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def convert(
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    input_file,
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    output_dir="-",
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    file_type="jsonl",
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    n_sents=1,
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    morphology=False,
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    converter="auto",
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    lang=None,
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):
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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. If no output_dir is specified, the data
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    is written to stdout, so you can pipe them forward to a JSONL file:
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    $ spacy convert some_file.conllu > some_file.jsonl
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    """
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    msg = Printer()
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    input_path = Path(input_file)
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    if file_type not in FILE_TYPES:
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        msg.fail(
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            "Unknown file type: '{}'".format(file_type),
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            "Supported file types: '{}'".format(", ".join(FILE_TYPES)),
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            exits=1,
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        )
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    if not input_path.exists():
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        msg.fail("Input file not found", input_path, exits=1)
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    if output_dir != "-" and not Path(output_dir).exists():
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        msg.fail("Output directory not found", output_dir, 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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        msg.fail("Can't find converter for {}".format(converter), exits=1)
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    # Use converter function to convert data
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    func = CONVERTERS[converter]
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    input_data = input_path.open("r", encoding="utf-8").read()
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    data = func(input_data, n_sents=n_sents, use_morphology=morphology, lang=lang)
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    if output_dir != "-":
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        # Export data to a file
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        suffix = ".{}".format(file_type)
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        output_file = Path(output_dir) / Path(input_path.parts[-1]).with_suffix(suffix)
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        if file_type == "json":
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            srsly.write_json(output_file, data)
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        elif file_type == "jsonl":
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            srsly.write_jsonl(output_file, data)
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        msg.good("Generated output file ({} documents)".format(len(data)), output_file)
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    else:
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        # Print to stdout
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        if file_type == "json":
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            srsly.write_json("-", data)
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        elif file_type == "jsonl":
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            srsly.write_jsonl("-", data)
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