from fastapi import FastAPI, HTTPException from pydantic import BaseModel import requests from bs4 import BeautifulSoup import json app = FastAPI() class ArticleScraper: def __init__(self): self.scraper_api_key = "24610cfe7680c5a15d77bd32cfd23fc3" self.scraper_api_url = "http://api.scraperapi.com/" def scrape_bloomberg(self, article_url): params = { "api_key": self.scraper_api_key, "url": article_url, } response = requests.get(self.scraper_api_url, params=params) html = response.text soup = BeautifulSoup(html, 'html.parser') script = soup.find('script', {'id': '__NEXT_DATA__'}) json_data = json.loads(script.text) props = json_data['props']['pageProps'] contents = props['story']['body']['content'] article_text = [] for item in contents: text = self.extract_text(item) if text: article_text.append(text) return '\n\n'.join(article_text) def scrape_financial_times(self, article_url): headers = { 'Referer': 'https://twitter.com' } cookies = { 'FTCookieConsentGDPR': 'true', 'FTAllocation': '00000000-0000-0000-0000-000000000000' } response = requests.get(article_url, headers=headers, cookies=cookies) if response.status_code == 200: soup = BeautifulSoup(response.content, 'html.parser') article_script = soup.find('script', {'type': 'application/ld+json'}) if article_script: article_data = json.loads(article_script.string) return article_data.get('articleBody', '') else: return "Article content not found in the expected format." else: return f"Failed to retrieve the webpage. Status code: {response.status_code}" def extract_text(self, content_item): if content_item['type'] == 'paragraph': text_parts = [] for item in content_item['content']: if item['type'] == 'text': text_parts.append(item['value']) elif item['type'] == 'entity': if 'link' in item['data'] and item['data']['link']['destination'].get('web'): url = item['data']['link']['destination']['web'] text = ' '.join([sub_item['value'] for sub_item in item['content'] if sub_item['type'] == 'text']) text_parts.append(f"[{text}]({url})") else: text_parts.extend([sub_item['value'] for sub_item in item['content'] if sub_item['type'] == 'text']) elif item['type'] == 'link': url = item['data']['destination'].get('web', '') text = ' '.join([sub_item['value'] for sub_item in item['content'] if sub_item['type'] == 'text']) if url: text_parts.append(f"[{text}]({url})") else: text_parts.append(text) return ' '.join(text_parts) elif content_item['type'] == 'entity' and content_item['subType'] == 'story': url = content_item['data']['link']['destination'].get('web', '') text = ' '.join([sub_item['value'] for sub_item in content_item['content'] if sub_item['type'] == 'text']) return f"Read More: [{text}]({url})" elif content_item['type'] == 'media' and content_item['subType'] == 'photo': photo_data = content_item['data']['photo'] caption = photo_data.get('caption', '') credit = photo_data.get('credit', '') src = photo_data.get('src', '') alt = photo_data.get('alt', '') return f"\n![{alt}]({src})\n*{caption}* {credit}\n" elif content_item['type'] == 'media' and content_item['subType'] == 'chart': chart_data = content_item['data']['chart'] attachment = content_item['data']['attachment'] title = attachment.get('title', '') subtitle = attachment.get('subtitle', '') source = attachment.get('source', '') fallback_image = chart_data.get('fallback', '') footnote = attachment.get('footnote', '') return f"\n![{title}]({fallback_image})\n**{title}**\n*{subtitle}*\n{footnote}\n{source}\n" return '' def scrape_article(self, url): if 'bloomberg.com' in url: return self.scrape_bloomberg(url) elif 'ft.com' in url: return self.scrape_financial_times(url) else: return "Unsupported website. Please provide a URL from Bloomberg or Financial Times." class ArticleRequest(BaseModel): url: str @app.get("/") async def hello(): return {"response" : "Greetings from SS!"} @app.post("/scrape_article/") async def scrape_article(request: ArticleRequest): scraper = ArticleScraper() content = scraper.scrape_article(request.url) if "Unsupported website" in content: raise HTTPException(status_code=400, detail=content) return {"content": content} if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=7860)