mirror of
https://github.com/hpware/news-analyze.git
synced 2025-06-23 13:04:23 +00:00
吳元皓
edf10adf5a
- Added new dependencies to requirements.txt: psycopg2-binary, pandas, and dotenv for improved functionality. - Enhanced main.css by adding 'scroll-smooth' to the html element for better scrolling experience.
63 lines
2 KiB
Python
63 lines
2 KiB
Python
# Going to love the stupid tab tab tab tab system, instead of using brances.
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import re # Regular expressions
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from urllib.request import urlopen # URL request lib.
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from bs4 import BeautifulSoup # BeautifulSoup lib.
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import json
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import psycopg2
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import pandas as pd
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import dotenv
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import os
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# Load environment variables from .env file
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dotenv.load_dotenv()
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# Connect to PostgresDB
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conn = psycopg2.connect(database=os.getenv("POSTGRES_DB"),
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user=os.getenv("POSTGRES_USER"),
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password=os.getenv("POSTGRES_PASSWORD"),
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host=os.getenv("POSTGRES_HOST"),
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port=os.getenv("POSTGRES_PORT")
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)
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headers = {
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'User-Agent': 'NewsSceraperBot/1.0 (https://github.com/hpware/news-analyze)'
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}
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#url = "https://tw.news.yahoo.com/"
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#url = "https://news.google.com/home?hl=zh-TW&gl=TW&ceid=TW:zh-Hant"
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url = "https://news.google.com/topics/CAAqJQgKIh9DQkFTRVFvSUwyMHZNRFptTXpJU0JYcG9MVlJYS0FBUAE?hl=zh-TW&gl=TW&ceid=TW%3Azh-Hant"
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page = urlopen(url)
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html_bytes = page.read()
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html = html_bytes.decode("utf-8")
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soup = BeautifulSoup(html, "html.parser")
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hotarticles = soup.find_all("article")
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news_data = []
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for article in hotarticles:
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try:
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title_elem = article.find('a', class_='gPFEn')
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title = title_elem.text.strip() if title_elem else ''
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source_elem = article.find('div', class_='vr1PYe')
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source = source_elem.text.strip() if source_elem else ''
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link_elem = article.find('a', class_='WwrzSb')
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orglink = link_elem['href'] if link_elem else ''
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link = re.sub(r'./read/', 'https://news.google.com/read/', orglink)
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article_data = {
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'title': title,
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'source': source,
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'link': link,
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}
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news_data.append(article_data)
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except Exception as e:
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print(f"Error processing article: {e}")
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continue
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with open('news.json', 'w', encoding='utf-8') as f:
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json.dump(news_data, f, ensure_ascii=False, indent=2)
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