#!/usr/bin/env python ########################################################################## # Copyright 2018 Kata.ai # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ########################################################################## import argparse import json import os import re from data import Document NEWLINES = re.compile(r'\n+') def remove_whitespace_only_words(doc: Document): for para in doc: for sent in para: words = [w for w in sent.words if w.strip()] sent.words = words def write_neuralsum_oracle(doc: Document, output_dir: str, encoding='utf-8'): remove_whitespace_only_words(doc) filename = f'{doc.id_}.summary' with open(os.path.join(output_dir, filename), 'w', encoding=encoding) as f: print(doc.source_url, file=f) print(file=f) print(NEWLINES.sub('\n', str(doc)), file=f, end='') def main(args): os.makedirs(args.output_dir, exist_ok=True) with open(args.path, encoding=args.encoding) as f: for line in f: doc = Document.from_mapping( json.loads(line.strip()), lower=args.lower) write_neuralsum_oracle(doc, args.output_dir, encoding=args.encoding) if __name__ == '__main__': parser = argparse.ArgumentParser( description='Prepare oracles for NeuralSum from an oracle JSONL file.', formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('path', help='path to the JSONL file') parser.add_argument('--encoding', default='utf-8', help='file encoding') parser.add_argument( '--no-lower', action='store_false', dest='lower', help='do not lowercase words') parser.add_argument('-o', '--output-dir', default='output', help='output directory') args = parser.parse_args() try: main(args) except Exception as e: parser.error(str(e))