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serializer.py
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serializer.py
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import argparse
import json
import stanza
from tqdm import tqdm
import pathlib
def parse_args() -> argparse.Namespace:
"""
Parse the command line arguments and return the parsed arguments.
Returns:
args (Namespace): The parsed command line arguments.
"""
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", type=pathlib.Path, required=True,
help="Path to input json file")
parser.add_argument("-o", "--output", type=pathlib.Path, required=True,
help="Path to output json file")
args = parser.parse_args()
return args
if __name__ == '__main__':
args = parse_args()
with open(args.input, 'r') as f:
data = json.load(f)
urls = data['urls']
documents = data['documents']
nlp = stanza.Pipeline(lang='nb', processors='tokenize,pos,lemma')
parsed_documents = []
for i, (url, document) in tqdm(enumerate(zip(urls, documents))):
document = document.replace('\n', '')
doc = nlp(document)
if len(doc.sentences) < 5:
continue
stanza_objects = []
for sentence in doc.sentences:
stanza_object = {
'tokens': [word.text for word in sentence.words if len(sentence.words) > 1],
'lemma': [word.lemma for word in sentence.words if len(sentence.words) > 1],
'pos': [word.upos for word in sentence.words if len(sentence.words) > 1],
}
stanza_objects.append(stanza_object)
parsed_document = {
'url': url,
'stanza': stanza_objects
}
parsed_documents.append(parsed_document)
if i % 10000 == 0:
print(f"Processed {i} urls..., saving...")
with open(args.output + f"_{i}" + ".json", 'w', encoding='utf-8') as f:
json.dump(parsed_documents, f, ensure_ascii=False, indent=4)
print(f"Done serializing {len(parsed_documents)} documents... Saving to path: {args.output}")
with open(args.output, 'w', encoding='utf-8') as f:
json.dump(parsed_documents, f, ensure_ascii=False, indent=4)