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72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
import os, json, requests, re
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from bs4 import BeautifulSoup
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def get_username(author_url):
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if '@' in author_url:
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pattern = r"medium\.com/@([\w-]+)"
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match = re.search(pattern, author_url)
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return match.group(1) if match else None
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else:
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# Given subdomain
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pattern = r"([\w-]+).medium\.com"
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match = re.search(pattern, author_url)
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return match.group(1) if match else None
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def get_docid(medium_docpath):
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pattern = r"medium\.com/p/([\w-]+)"
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match = re.search(pattern, medium_docpath)
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return match.group(1) if match else None
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def fetch_recent_publications(handle):
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rss_link = f"https://medium.com/feed/@{handle}"
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response = requests.get(rss_link)
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if(response.ok == False):
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print(f"Could not fetch RSS results for author.")
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return []
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xml = response.content
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soup = BeautifulSoup(xml, 'xml')
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items = soup.find_all('item')
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publications = []
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if os.path.isdir("./outputs/medium-logs") == False:
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os.makedirs("./outputs/medium-logs")
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file_path = f"./outputs/medium-logs/medium-{handle}.json"
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if os.path.exists(file_path):
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with open(file_path, "r") as file:
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print(f"Returning cached data for Author {handle}. If you do not wish to use stored data then delete the file for this author to allow refetching.")
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return json.load(file)
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for item in items:
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tags = []
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for tag in item.find_all('category'): tags.append(tag.text)
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content = BeautifulSoup(item.find('content:encoded').text, 'html.parser')
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data = {
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'id': get_docid(item.find('guid').text),
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'title': item.find('title').text,
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'url': item.find('link').text.split('?')[0],
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'tags': ','.join(tags),
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'published': item.find('pubDate').text,
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'pageContent': content.get_text()
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}
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publications.append(data)
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with open(file_path, 'w+', encoding='utf-8') as json_file:
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json.dump(publications, json_file, ensure_ascii=True, indent=2)
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print(f"{len(publications)} articles found for author medium.com/@{handle}. Saved to medium-logs/medium-{handle}.json")
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return publications
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def append_meta(publication, text):
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meta = {
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'url': publication.get('url'),
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'tags': publication.get('tags'),
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'title': publication.get('title'),
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'createdAt': publication.get('published'),
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'wordCount': len(text.split(' '))
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}
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return "Article Metadata:\n"+json.dumps(meta)+"\n\nArticle Content:\n" + text
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