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Update file handling. Now md5 is correct

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This commit is contained in:
Patrick Jentsch 2021-05-18 10:26:03 +02:00
parent bd5d8ddedb
commit fd39246e4b
4 changed files with 20 additions and 15 deletions
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4
nlp
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@ -148,9 +148,11 @@ def parse_args():
required=True)
parser.add_argument('-l', '--language',
choices=SPACY_MODELS.keys(),
help='Language of the input (2-character ISO 639-1 language codes)', # noqa
required=True)
parser.add_argument('--check-encoding',
action='store_true')
action='store_true',
help='Check encoding of the input file, UTF-8 is used instead') # noqa
parser.add_argument('--log-dir',
help='Logging directory')
parser.add_argument('--mem-mb',

17
spacy-nlp
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@ -16,29 +16,32 @@ spacy_models = {spacy.info(pipeline)['lang']: pipeline
# Parse the given arguments
parser = ArgumentParser(description='Create annotations for a given txt file')
parser.add_argument('input', metavar='Path to txt input file')
parser.add_argument('output', metavar='Path to JSON output file')
parser.add_argument('input', help='Path to txt input file')
parser.add_argument('output', help='Path to JSON output file')
parser.add_argument('-l', '--language',
choices=spacy_models.keys(),
help='Language of the input (2-character ISO 639-1 language codes)', # noqa
required=True)
parser.add_argument('-c', '--check-encoding', action='store_true')
parser.add_argument('-c', '--check-encoding',
action='store_true',
help='Check encoding of the input file, UTF-8 is used instead') # noqa
args = parser.parse_args()
# If requested: Check the encoding of the text contents from the input file
# Else: Use utf-8
if args.check_encoding:
with open(args.input, "rb") as text_file:
if args.check_encoding:
encoding = chardet.detect(text_file.read())['encoding']
else:
encoding = 'utf-8'
with open(args.input, "rb") as text_file:
text_md5 = hashlib.md5()
for chunk in iter(lambda: text_file.read(128 * text_md5.block_size), b''):
text_md5.update(chunk)
# Load the text contents from the input file
with open(args.input, encoding=encoding) as text_file:
# spaCy NLP is limited to strings with maximum 1 million characters at
# spaCy NLP is limited to strings with a maximum of 1 million characters at
# once. So we split it into suitable chunks.
text_chunks = textwrap.wrap(
text_file.read(),

6
vrt-creator
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@ -94,9 +94,9 @@ def main():
# Parse the given arguments
parser = ArgumentParser(description='Create a vrt from JSON and txt')
parser.add_argument('text', metavar='Path to txt file')
parser.add_argument('stand_off_data', metavar='Path to JSON file')
parser.add_argument('output', metavar='Path to vrt output file')
parser.add_argument('text', help='Path to txt file')
parser.add_argument('stand_off_data', help='Path to JSON file')
parser.add_argument('output', help='Path to vrt output file')
args = parser.parse_args()
with open(args.stand_off_data) as stand_of_data_file:

2
wrapper/nlp
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@ -6,7 +6,7 @@ import os
import subprocess
import sys
CONTAINER_IMAGE = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/nlp:1.0.0'
CONTAINER_IMAGE = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/nlp:1.0.0b'
CONTAINER_INPUT_DIR = '/input'
CONTAINER_OUTPUT_DIR = '/output'
CONTAINER_LOG_DIR = '/logs'