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page2tsv/tsvtools/tsv.py

88 lines
2.4 KiB
Python

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