mirror of
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58 lines
1.4 KiB
Python
58 lines
1.4 KiB
Python
from __future__ import print_function
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from os import path
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import os
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import tarfile
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import shutil
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import wget
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import plac
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# TODO: Read this from the same source as the setup
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VERSION = '0.8'
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AWS_STORE = 'http://s3-us-west-1.amazonaws.com/media.spacynlp.com'
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ALL_DATA_DIR_URL = '%s/en_data_all-%s.tgz' % (AWS_STORE, VERSION)
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SM_DATA_DIR_URL = '%s/en_data_sm-%s.tgz' % (AWS_STORE, VERSION)
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SPEECH_DATA_DIR_URL = '%s/en_data_speech-%s.tgz' % (AWS_STORE, VERSION)
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DEST_DIR = path.join(path.dirname(__file__), 'data')
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def download_file(url, out):
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wget.download(url, out=out)
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return url.rsplit('/', 1)[1]
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def install_data(url, dest_dir):
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filename = download_file(url, dest_dir)
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t = tarfile.open(path.join(dest_dir, filename))
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t.extractall(dest_dir)
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def install_parser_model(url, dest_dir):
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filename = download_file(url, dest_dir)
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t = tarfile.open(path.join(dest_dir, filename), mode=":gz")
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t.extractall(path.dirname(__file__))
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def install_dep_vectors(url, dest_dir):
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if not os.path.exists(dest_dir):
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os.mkdir(dest_dir)
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filename = download_file(url, dest_dir)
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def main(data_size='all'):
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if data_size == 'all':
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data_url = ALL_DATA_DIR_URL
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elif data_size == 'small':
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data_url = SM_DATA_DIR_URL
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if path.exists(DEST_DIR):
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shutil.rmtree(DEST_DIR)
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install_data(data_url, path.dirname(DEST_DIR))
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if __name__ == '__main__':
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plac.call(main)
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