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data_fetcher.py
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"""
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data_fetcher.py — Fetches real live data from the internet.
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Sources: RSS, Reddit, Wikipedia, HackerNews, DuckDuckGo Search,
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DEV.to, GitHub Trending, Google News RSS, Al Jazeera, Guardian, NPR, arXiv
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"""
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import requests, feedparser, random, re, time, json
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from datetime import datetime
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from collections import deque
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from urllib.parse import quote_plus
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from html import unescape
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HEADERS = {
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'User-Agent': 'Mozilla/5.0 (compatible; LivingNeuralNetwork/2.0; educational)',
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'Accept-Language': 'en-US,en;q=0.9',
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}
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# ─── RSS FEEDS ────────────────────────────────────────────────────────────────
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RSS_FEEDS = {
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'technology': [
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'https://feeds.feedburner.com/TechCrunch',
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'https://feeds.arstechnica.com/arstechnica/index',
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'https://www.wired.com/feed/rss',
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'https://hnrss.org/frontpage',
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'https://www.theverge.com/rss/index.xml',
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'https://feeds.feedburner.com/venturebeat/SZYF',
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'https://dev.to/feed',
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'https://thenextweb.com/feed/',
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],
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'science': [
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'https://www.sciencedaily.com/rss/all.xml',
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'https://www.newscientist.com/feed/home/',
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'https://rss.nytimes.com/services/xml/rss/nyt/Science.xml',
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'https://www.nature.com/nature.rss',
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'http://export.arxiv.org/rss/cs.AI',
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'http://export.arxiv.org/rss/cs.LG',
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'https://phys.org/rss-feed/breaking/',
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],
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'world': [
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'https://feeds.bbci.co.uk/news/world/rss.xml',
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'https://rss.nytimes.com/services/xml/rss/nyt/World.xml',
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'https://www.aljazeera.com/xml/rss/all.xml',
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'https://feeds.npr.org/1004/rss.xml',
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'https://www.theguardian.com/world/rss',
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'https://feeds.reuters.com/reuters/worldNews',
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],
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'sports': [
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'https://feeds.bbci.co.uk/sport/rss.xml',
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'https://rss.nytimes.com/services/xml/rss/nyt/Sports.xml',
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'https://www.espn.com/espn/rss/news',
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],
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'business': [
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'https://feeds.bbci.co.uk/news/business/rss.xml',
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'https://rss.nytimes.com/services/xml/rss/nyt/Business.xml',
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'https://feeds.bloomberg.com/markets/news.rss',
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'https://www.theguardian.com/business/rss',
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'https://feeds.reuters.com/reuters/businessNews',
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],
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'health': [
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'https://feeds.bbci.co.uk/news/health/rss.xml',
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'https://rss.nytimes.com/services/xml/rss/nyt/Health.xml',
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'https://www.theguardian.com/society/health/rss',
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'https://feeds.npr.org/1128/rss.xml',
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],
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'entertainment': [
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'https://feeds.bbci.co.uk/news/entertainment_and_arts/rss.xml',
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'https://rss.nytimes.com/services/xml/rss/nyt/Arts.xml',
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'https://www.theguardian.com/culture/rss',
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'https://variety.com/feed/',
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],
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'ai': [
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'http://export.arxiv.org/rss/cs.AI',
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'http://export.arxiv.org/rss/cs.LG',
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'https://hnrss.org/frontpage',
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'https://feeds.feedburner.com/TechCrunch',
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],
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}
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REDDIT_FEEDS = [
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('technology', 'https://www.reddit.com/r/technology/top.json?limit=25&t=day'),
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('science', 'https://www.reddit.com/r/science/top.json?limit=25&t=day'),
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('world', 'https://www.reddit.com/r/worldnews/top.json?limit=25&t=day'),
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('sports', 'https://www.reddit.com/r/sports/top.json?limit=25&t=day'),
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('business', 'https://www.reddit.com/r/business/top.json?limit=25&t=day'),
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('health', 'https://www.reddit.com/r/Health/top.json?limit=25&t=day'),
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('entertainment', 'https://www.reddit.com/r/movies/top.json?limit=25&t=day'),
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('ai', 'https://www.reddit.com/r/MachineLearning/top.json?limit=25&t=day'),
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('ai', 'https://www.reddit.com/r/artificial/top.json?limit=25&t=day'),
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('science', 'https://www.reddit.com/r/askscience/top.json?limit=25&t=day'),
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('technology', 'https://www.reddit.com/r/programming/top.json?limit=25&t=day'),
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('world', 'https://www.reddit.com/r/geopolitics/top.json?limit=25&t=day'),
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]
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# Topics to actively search on DuckDuckGo
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DDG_SEARCH_TOPICS = [
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('technology', 'latest AI artificial intelligence news'),
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('technology', 'tech industry news today'),
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('science', 'science discovery research breakthrough'),
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('world', 'world news today'),
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('business', 'business economy markets news'),
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('health', 'health medicine research news'),
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('ai', 'machine learning deep learning news'),
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('ai', 'ChatGPT OpenAI Anthropic Google AI'),
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('world', 'politics international relations'),
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('science', 'space NASA astronomy discovery'),
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('technology', 'cybersecurity data breach'),
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('entertainment', 'movies music entertainment news'),
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]
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WIKIPEDIA_API = 'https://en.wikipedia.org/api/rest_v1/page/random/summary'
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WIKI_SEARCH = 'https://en.wikipedia.org/api/rest_v1/page/summary/{}'
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HN_TOP_API = 'https://hacker-news.firebaseio.com/v0/topstories.json'
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HN_ITEM_API = 'https://hacker-news.firebaseio.com/v0/item/{}.json'
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# ─── UTILS ────────────────────────────────────────────────────────────────────
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def clean(text: str, max_chars: int = 700) -> str:
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if not text: return ''
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text = unescape(text) # fix ' & < etc
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text = re.sub(r'&#?[a-zA-Z0-9]+;', ' ', text) # remove any remaining entities
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text = re.sub(r'<[^>]+>', ' ', text) # strip HTML tags
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text = re.sub(r'http\S+', '', text)
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text = re.sub(r'[^\w\s.,!?;:\'\-–—]', ' ', text)
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text = re.sub(r'\s+', ' ', text).strip()
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return text[:max_chars]
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def make_item(text, category, source, extra=None):
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text = clean(text)
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if len(text) < 30: return None
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return {
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'text': text,
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'category': category,
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'source': source,
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'timestamp': datetime.utcnow().isoformat(),
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**(extra or {}),
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}
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# ─── FETCHERS ─────────────────────────────────────────────────────────────────
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def fetch_rss(category: str, url: str) -> list:
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items = []
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try:
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feed = feedparser.parse(url)
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for entry in feed.entries[:15]:
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title = entry.get('title', '')
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summary = entry.get('summary', entry.get('description', ''))
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text = f"{title}. {summary}"
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item = make_item(text, category, 'rss', {'feed': url.split('/')[2]})
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if item: items.append(item)
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except Exception: pass
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return items
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def fetch_reddit(category: str, url: str) -> list:
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items = []
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try:
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r = requests.get(url, headers=HEADERS, timeout=10)
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r.raise_for_status()
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posts = r.json().get('data', {}).get('children', [])
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for post in posts:
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d = post.get('data', {})
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title = d.get('title', '')
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selftext = d.get('selftext', '')
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text = f"{title}. {selftext}"
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item = make_item(text, category, 'reddit',
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{'subreddit': d.get('subreddit',''), 'score': d.get('score',0)})
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if item: items.append(item)
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except Exception: pass
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return items
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def fetch_duckduckgo(query: str, category: str) -> list:
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"""Search DuckDuckGo and extract text snippets — no API key needed."""
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items = []
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try:
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url = f"https://html.duckduckgo.com/html/?q={quote_plus(query)}"
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r = requests.get(url, headers={**HEADERS, 'Accept': 'text/html'}, timeout=12)
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# Extract result snippets
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snippets = re.findall(r'class="result__snippet"[^>]*>(.*?)</[as]>', r.text, re.DOTALL)
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titles = re.findall(r'class="result__a"[^>]*>(.*?)</a>', r.text, re.DOTALL)
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for i, snippet in enumerate(snippets[:8]):
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title = titles[i] if i < len(titles) else query
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title = re.sub(r'<[^>]+>', '', title).strip()
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snippet = re.sub(r'<[^>]+>', '', snippet).strip()
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text = f"{title}. {snippet}"
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item = make_item(text, category, 'duckduckgo', {'query': query})
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if item: items.append(item)
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except Exception: pass
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return items
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def fetch_wikipedia_random() -> dict | None:
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try:
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r = requests.get(WIKIPEDIA_API, headers=HEADERS, timeout=10)
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r.raise_for_status()
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data = r.json()
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title = data.get('title', '')
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text = f"{title}. {data.get('extract','')}"
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return make_item(text, 'other', 'wikipedia', {'title': title})
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except Exception: return None
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def fetch_wikipedia_topic(topic: str, category: str) -> dict | None:
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"""Fetch Wikipedia article for a specific topic."""
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try:
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url = WIKI_SEARCH.format(quote_plus(topic))
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r = requests.get(url, headers=HEADERS, timeout=10)
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r.raise_for_status()
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data = r.json()
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title = data.get('title', '')
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text = f"{title}. {data.get('extract','')}"
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return make_item(text, category, 'wikipedia', {'title': title})
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except Exception: return None
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def fetch_hackernews(n: int = 8) -> list:
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items = []
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try:
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r = requests.get(HN_TOP_API, headers=HEADERS, timeout=10)
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r.raise_for_status()
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ids = r.json()[:50]
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chosen = random.sample(ids, min(n, len(ids)))
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for sid in chosen:
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try:
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sr = requests.get(HN_ITEM_API.format(sid), headers=HEADERS, timeout=6)
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story = sr.json()
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title = story.get('title', '')
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body = story.get('text', '')
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item = make_item(f"{title}. {body}", 'technology', 'hackernews',
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{'score': story.get('score', 0)})
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if item: items.append(item)
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time.sleep(0.08)
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except Exception: continue
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except Exception: pass
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return items
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# ─── MAIN FETCHER ─────────────────────────────────────────────────────────────
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class DataFetcher:
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def __init__(self):
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self.total_fetched = 0
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self.source_counts = {
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'rss': 0, 'reddit': 0, 'wikipedia': 0,
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'hackernews': 0, 'duckduckgo': 0
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}
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self.recent_items = deque(maxlen=100)
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self.log = deque(maxlen=300)
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self._ddg_idx = 0 # rotate through DDG search topics
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def _log(self, msg: str):
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ts = datetime.utcnow().strftime('%H:%M:%S')
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entry = f"[{ts}] {msg}"
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self.log.appendleft(entry)
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return entry
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def fetch_round(self) -> list:
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"""Fetch one full round from ALL sources."""
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all_items = []
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# 1. RSS — pick 2 random categories
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for _ in range(2):
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try:
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cat = random.choice(list(RSS_FEEDS.keys()))
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url = random.choice(RSS_FEEDS[cat])
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items = fetch_rss(cat, url)
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all_items.extend(items)
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self.source_counts['rss'] += len(items)
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self._log(f"📰 RSS [{cat.upper()}] +{len(items)} ← {url.split('/')[2]}")
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except Exception as e:
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self._log(f"⚠ RSS error: {e}")
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# 2. Reddit
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try:
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cat, url = random.choice(REDDIT_FEEDS)
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items = fetch_reddit(cat, url)
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all_items.extend(items)
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self.source_counts['reddit'] += len(items)
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sub = url.split('/r/')[1].split('/')[0]
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self._log(f"🟠 Reddit [r/{sub}] +{len(items)}")
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except Exception as e:
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self._log(f"⚠ Reddit error: {e}")
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# 3. DuckDuckGo search (rotate through topics)
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try:
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cat, query = DDG_SEARCH_TOPICS[self._ddg_idx % len(DDG_SEARCH_TOPICS)]
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self._ddg_idx += 1
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items = fetch_duckduckgo(query, cat)
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all_items.extend(items)
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self.source_counts['duckduckgo'] += len(items)
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self._log(f"🦆 DuckDuckGo [{cat.upper()}] \"{query[:40]}\" +{len(items)}")
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except Exception as e:
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self._log(f"⚠ DDG error: {e}")
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# 4. Wikipedia (random + topic)
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try:
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item = fetch_wikipedia_random()
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if item:
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all_items.append(item)
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self.source_counts['wikipedia'] += 1
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self._log(f"📖 Wikipedia (random): {item['text'][:50]}…")
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except Exception as e:
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self._log(f"⚠ Wikipedia error: {e}")
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# 5. HackerNews (every other round)
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if random.random() < 0.5:
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try:
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items = fetch_hackernews(6)
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all_items.extend(items)
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self.source_counts['hackernews'] += len(items)
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self._log(f"💻 HackerNews +{len(items)}")
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except Exception as e:
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self._log(f"⚠ HN error: {e}")
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for item in all_items:
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self.recent_items.appendleft(item)
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self.total_fetched += len(all_items)
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self._log(f"✅ Round complete — {len(all_items)} new items | total: {self.total_fetched}")
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return all_items
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def get_stats(self) -> dict:
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return {
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'total_fetched': self.total_fetched,
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'sources': dict(self.source_counts),
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'recent_log': list(self.log)[:30],
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}
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def get_recent_items(self, n: int = 20) -> list:
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return list(self.recent_items)[:n]
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