Change the data structure
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commit
1602d03e9d
@ -7,13 +7,13 @@ import ejde_save
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from retrying import retry
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from datetime import datetime
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from bs4 import BeautifulSoup
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from concurrent.futures import ThreadPoolExecutor, as_completed, wait
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from concurrent.futures import ThreadPoolExecutor, as_completed
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'''
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爬取网站:'ejde.math.txstate.edu'
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Total number of papers: 2023/08/08 - 4300
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Total Time via VPN w/119ms-delay: 441.80s
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Total Time via VPN w/100ms-delay: 254.04s
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==========运行顺序==========
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1、ejde_main 获取各年份的期刊链接 -> 抓取各篇论文的信息和作者信息 -> 调用ejde_save -> 存入小文件(json)暂存
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@ -152,9 +152,17 @@ def process_article(title, article_url):
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article_soup = BeautifulSoup(html, 'html.parser')
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article_text = article_soup.get_text()
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# Extract title if title == None
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if not title:
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title_match = re.search(r"<h3>(.*?)<p>", article_text)
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title = str(re.sub(r'<[^>]+>', '', title_match.group(1)).strip()) if title_match else None
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# Extract volume
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volume_match = re.search(r'Vol\. (\d+) \((\d+)\)', article_text)
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volume = str(volume_match.group(1)) if volume_match else None
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if not volume:
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volume_match = re.search(r'Vol\. (\d+)', article_text)
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volume = str(volume_match.group(1)) if volume_match else None
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# Extract pp
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pp_match = re.search(r'pp\. (\d+-\d+)', article_text)
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@ -181,17 +189,18 @@ def process_article(title, article_url):
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if not msc_match:
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msc_match = re.search(r'Math Subject Classifications:(.*?)\.', html)
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if msc_match:
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msc = msc_match.group(1).strip().strip('.').strip()
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msc = re.sub(r'<[^>]+>', '', msc_match.group(1).strip())
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msc = msc.strip('.').strip()
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msc = re.split(r', |;', msc)
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else:
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msc = []
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# Extract KeyWords
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keywords_match = re.search(r'Key Words: (.*?)(?=<)', html, re.DOTALL)
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keywords_match = re.search(r'Key Words: (.*?)(?:<br>|<p>|$)', html, re.DOTALL)
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if not keywords_match:
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keywords_match = re.search(r'Key Words: (.*?)<br>', html, re.DOTALL)
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keywords_match = re.search(r'Key Words: (.*?)(?=<)', html, re.DOTALL)
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if keywords_match:
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keywords = keywords_match.group(1).strip().replace('\n', '')
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keywords = re.sub(r'<[^>]+>', '', keywords_match.group(1).strip()).replace('\n', '')
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keywords = re.split(r', |;', keywords)
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keywords = [re.sub(r'\s+', ' ', keyword.strip().strip('.')).strip() for keyword in keywords]
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else:
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@ -213,72 +222,89 @@ def process_article(title, article_url):
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for row in table.find_all('tr'):
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cells = [cell.text.strip() for cell in row.find_all('td')]
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for cell in cells:
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cell = cell.split("\n")
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cell = [element.replace('email: ', '') for element in cell]
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cell = [c.strip() for c in cell]
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cell = re.split(r'[\r\n]+', cell)
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cell = [c.replace('email: ', '').replace('\\newline', '') for c in cell]
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cell = [re.sub(r'\s+', ' ', c).strip() for c in cell]
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# Data processing
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authors.append(cell[0])
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name = cell[0].split(" ")
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middle_name = ''.join(name[1:-1]) if name[1:-1] else None
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affiliation = ', '.join(cell[1:-1])
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affiliation = re.sub(r'^[^a-zA-Z]*', '', re.sub(r'\s+', ' ', re.sub(r',+', ',', affiliation))).strip()
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email_match = re.search(r'[\w.-]+@[\w.-]+', cell[-1])
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email = email_match.group() if email_match else None
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if cell[0]:
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authors.append(cell[0])
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name = re.split(r'[ .]', cell[0])
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affiliation = ', '.join(cell[1:-1])
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affiliation = re.sub(r'^[^a-zA-Z]*', '', re.sub(r'\s+', ' ', re.sub(r',+', ',', affiliation))).strip()
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email_match = re.search(r'[\w.-]+@[\w.-]+', cell[-1])
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email = email_match.group() if email_match else None
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author_data = {
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"author_id": str(uuid.uuid4()),
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"from_article": [article_id],
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"first_name": name[0],
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"last_name": name[-1],
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"middle_name": middle_name,
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"affiliation": [{
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"year": volume,
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"affiliation": affiliation,
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"email": email
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}]
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}
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authorData.append(author_data)
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author_data = {
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"author_id": str(uuid.uuid4()),
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"from_article": article_id,
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"first_name": name[0],
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"last_name": name[-1],
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"middle_name": ''.join(name[1:-1]) if name[1:-1] else None,
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"affiliation": [{
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"year": volume,
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"affiliation": affiliation,
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"email": email
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}]
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}
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authorData.append(author_data)
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# If no author table
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else:
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pattern = r'<hr>(.*?)<hr>'
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match_type = 0
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hr_count = len(article_soup.find_all('hr'))
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if hr_count < 3:
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pattern = r'<hr>(.*?)<hr>'
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else:
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pattern = r'<hr>(?:.*<hr>)(.*)(?=<hr>)'
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matches = str(re.findall(pattern, html, re.DOTALL))
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if len(matches) < 5:
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match_type = 1
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last_p_tag = str(article_soup.find_all('p')[-1])
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pattern = r'<p>(.*?)<hr/>'
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matches = re.search(pattern, str(last_p_tag), re.DOTALL).group(1).strip()
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if matches:
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matches = matches.replace('["', '').replace('"]', '').replace('[\'', '').replace('\']', '')
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matches = matches.split("<p>")
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for match in matches:
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match = re.sub(r'<[^>]+>', '', match)
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match = match.lstrip("\\n ").rstrip("\\n ").strip()
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match = match.split("\\n")
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match = [element.replace('email: ', '') for element in match]
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match = [m.strip() for m in match]
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match = match.lstrip("\\n ").lstrip("\n ").rstrip("\\n ").rstrip("\n ").strip()
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if match_type == 0:
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match = match.split("\\n")
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else:
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match = match.split("\n")
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match = [m.replace('email: ', '').replace('\\newline', '') for m in match]
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match = [re.sub(r'\s+', ' ', m).strip() for m in match]
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# Data processing
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authors.append(match[0])
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name = match[0].split(" ")
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middle_name = ''.join(name[1:-1]) if name[1:-1] else None
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affiliation = ''.join(match[1:-1]).lstrip(",").rstrip(",").strip()
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affiliation = re.sub(r'^[^a-zA-Z]*', '', re.sub(r'\s+', ' ', re.sub(r',+', ',', affiliation))).strip()
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email_match = re.search(r'[\w.-]+@[\w.-]+', match[-1])
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email = email_match.group() if email_match else None
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if match[0]:
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authors.append(match[0])
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name = re.split(r'[ .]', match[0])
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affiliation = ''.join(match[1:-1]).lstrip(",").rstrip(",").strip()
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affiliation = re.sub(r'^[^a-zA-Z]*', '', re.sub(r'\s+', ' ', re.sub(r',+', ',', affiliation))).strip()
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email_match = re.search(r'[\w.-]+@[\w.-]+', match[-1])
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email = email_match.group() if email_match else None
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author_data = {
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"author_id": str(uuid.uuid4()),
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"from_article": [article_id],
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"first_name": name[0],
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"last_name": name[-1],
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"middle_name": middle_name,
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"affiliation": [{
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"year": volume,
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"affiliation": affiliation,
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"email": email
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}]
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}
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authorData.append(author_data)
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author_data = {
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"author_id": str(uuid.uuid4()),
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"from_article": article_id,
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"first_name": name[0],
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"last_name": name[-1],
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"middle_name": ''.join(name[1:-1]) if name[1:-1] else None,
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"affiliation": [{
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"year": volume,
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"affiliation": affiliation,
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"email": email
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}]
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}
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authorData.append(author_data)
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else:
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print("AUTHOR SEARCHING ERROR:", article_url)
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return
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fail = {
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"title": title,
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"URL": article_url
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}
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failedFormatData.append(fail)
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# Article info
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article_data = {
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@ -347,8 +373,6 @@ for future in as_completed(futures):
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except Exception as vol_err:
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print("VOLUME PROCESSING ERROR:", str(vol_err))
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wait(futures)
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# Retry failed processing paper
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print("START RETRYING:", len(failedData))
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while failedData:
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@ -378,15 +402,15 @@ if len(authorData) > 0:
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# Save error record
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if len(totallyFailedData) > 0:
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ejde_save.save_data(failedData, "", "Failed_article_record.json")
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ejde_save.save_data(totallyFailedData, "Error", "Failed_article_record.json")
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print("Total failed processing paper:", len(totallyFailedData))
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if len(failedVolData) > 0:
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ejde_save.save_data(failedVolData, "", "Failed_volume_record.json")
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ejde_save.save_data(failedVolData, "Error", "Failed_volume_record.json")
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print("Total failed fetching volume:", len(failedVolData))
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if len(failedFormatData) > 0:
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ejde_save.save_data(failedFormatData, "", "Failed_format_record.json")
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ejde_save.save_data(failedFormatData, "Error", "Failed_format_record.json")
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print("Total failed searching article:", len(failedFormatData))
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# Total running time
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