import json import xml.etree.ElementTree as ET from bs4 import BeautifulSoup import requests import threading import utils def fetch_links(category): links = [] xml_data = utils.fetch_page(f"https://www.sciencedaily.com/rss/top/{category.lower()}.xml") items = ET.fromstring(xml_data).findall('channel/item') for item in items: link = item.find('link').text links.append(link) return links def fetch_all_links(): categories = ["Science", "Health", "Environment", "Technology", "Society"] sd_links_data = {} for category in categories: links = fetch_links(category) sd_links_data[category] = links return json.dumps(sd_links_data, indent=4, ensure_ascii=False) def fetch_dois(): doi_data = {} data = json.loads(fetch_all_links()) for topic, links in data.items(): doi_list = [] for link in links: page_content = utils.fetch_page(link) page_datas = BeautifulSoup(page_content, 'html.parser').find_all("div", id="journal_references") for page_data in page_datas: doi_link = page_data.find("a", href=True) if doi_link: doi = doi_link.text if doi.startswith('10.'): doi_list.append(doi) doi_data[topic] = doi_list return json.dumps(doi_data, indent=4, ensure_ascii=False) def fetch_doi_data(): result = [] def fetch_and_store(): result.append(fetch_dois()) thread = threading.Thread(target=fetch_and_store) thread.start() thread.join() return result[0] if result else {} def doi_to_pmc(): data = json.loads(fetch_doi_data()) pmc_data = {} for topic, dois in data.items(): if not dois: continue doi_list = ",".join(dois) try: url = f"https://www.ncbi.nlm.nih.gov/pmc/utils/idconv/v1.0/?email=raannakasturi@gmail.com&ids={doi_list}&format=json" doi_pmc_data = requests.get(url).json() if doi_pmc_data['status'] == 'ok': pmc_list = [record['pmcid'] for record in doi_pmc_data['records'] if 'pmcid' in record and record.get('live', True)] pmc_data[topic] = pmc_list[:2] except Exception as e: print(f"Error: {str(e)}") return json.dumps(pmc_data, indent=4, ensure_ascii=False) def extract_sd_data(): if not utils.download_datafile('sd.txt'): raise Exception("Failed to download datafile") pmc_data = {} pmcid_data = json.loads(doi_to_pmc()) for topic, pmcids in pmcid_data.items(): pmc_ids = [] for pmcid in pmcids: if len(pmc_ids) >= 2: break if not utils.check_data_in_file(pmcid, 'sd.txt'): utils.write_data_to_file(pmcid, 'sd.txt') pmc_ids.append(pmcid) pmc_data[topic] = {"ids": pmc_ids, "count": len(pmc_ids)} if not utils.upload_datafile('sd.txt'): raise Exception("Failed to upload datafile") return json.dumps(pmc_data, indent=4, ensure_ascii=False) if __name__ == "__main__": data = extract_sd_data() with open('sd_data.json', 'w') as f: f.write(data)