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): 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[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