зеркало из https://github.com/mozilla/bugbug.git
66 строки
1.8 KiB
Python
66 строки
1.8 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this file,
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# You can obtain one at http://mozilla.org/MPL/2.0/.
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import argparse
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import sys
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from logging import INFO, basicConfig, getLogger
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from sklearn.feature_extraction.text import TfidfVectorizer
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from bugbug import bugzilla, db, similarity
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basicConfig(level=INFO)
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logger = getLogger(__name__)
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def parse_args(args):
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--algorithm",
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help="Similarity algorithm to use",
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choices=similarity.model_name_to_class.keys(),
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)
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parser.add_argument(
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"--disable-url-cleanup",
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help="Don't cleanup urls when training the similarity model",
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dest="cleanup_urls",
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default=True,
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action="store_false",
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)
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parser.add_argument(
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"--nltk_tokenizer",
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help="Use nltk's tokenizer for text preprocessing",
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dest="nltk_tokenizer",
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default=False,
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)
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return parser.parse_args(args)
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def main():
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args = parse_args(sys.argv[1:])
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logger.info("Downloading bugs database...")
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if db.is_old_version(bugzilla.BUGS_DB) or not db.exists(bugzilla.BUGS_DB):
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db.download(bugzilla.BUGS_DB, force=True)
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if args.algorithm == "neighbors_tfidf_bigrams":
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model = similarity.model_name_to_class[args.algorithm](
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vectorizer=TfidfVectorizer(ngram_range=(1, 2)),
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cleanup_urls=args.cleanup_urls,
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nltk_tokenizer=args.nltk_tokenizer,
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)
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else:
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model = similarity.model_name_to_class[args.algorithm](
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cleanup_urls=args.cleanup_urls, nltk_tokenizer=args.nltk_tokenizer
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)
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model.save()
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if __name__ == "__main__":
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main()
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