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85 lines
2.2 KiB
Python
85 lines
2.2 KiB
Python
import pandas as pd
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import re
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def read_tsv(tsv_file):
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tsv = pd.read_csv(tsv_file, sep='\t', comment='#', quoting=3).rename(columns={'GND-ID': 'ID'})
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parts = extract_doc_links(tsv_file)
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urls = [part['url'] for part in parts]
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return tsv, urls
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def write_tsv(tsv, urls, tsv_out_file):
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out_columns = ['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'ID', 'url_id', 'left', 'right', 'top', 'bottom']
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if len(urls) == 0:
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print('Writing to {}...'.format(tsv_out_file))
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tsv.to_csv(tsv_out_file, sep="\t", quoting=3, index=False)
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else:
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pd.DataFrame([], columns=out_columns).to_csv(tsv_out_file, sep="\t", quoting=3, index=False)
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for url_id, part in tsv.groupby('url_id'):
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with open(tsv_out_file, 'a') as f:
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f.write('# ' + urls[url_id] + '\n')
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part.to_csv(tsv_out_file, sep="\t", quoting=3, index=False, mode='a', header=False)
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def extract_doc_links(tsv_file):
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parts = []
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header = None
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with open(tsv_file, 'r') as f:
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text = []
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url = None
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for line in f:
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if header is None:
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header = "\t".join(line.split()) + '\n'
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continue
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urls = [url for url in
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re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', line)]
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if len(urls) > 0:
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if url is not None:
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parts.append({"url": url, 'header': header, 'text': "".join(text)})
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text = []
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url = urls[-1]
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else:
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if url is None:
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continue
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line = '\t'.join(line.split())
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if line.count('\t') == 2:
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line = "\t" + line
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if line.count('\t') >= 3:
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text.append(line + '\n')
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continue
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if line.startswith('#'):
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continue
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if len(line) == 0:
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continue
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print('Line error: |', line, '|Number of Tabs: ', line.count('\t'))
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if url is not None:
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parts.append({"url": url, 'header': header, 'text': "".join(text)})
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return parts
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