choijaewook
adad553a65
Add ThreadedWebsocketManager-based BinanceWSClient for real-time price streaming, NewsClient for CryptoPanic/NewsAPI fetching with coin filtering, and SocialClient for Reddit post retrieval with keyword filtering and simple keyword-based sentiment scoring. Includes unit tests for news and social clients (4/4 passing). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
73 lines
3.0 KiB
Python
73 lines
3.0 KiB
Python
import logging
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from datetime import datetime
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logger = logging.getLogger(__name__)
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POSITIVE_WORDS = {"moon", "bullish", "pump", "rally", "amazing", "great", "buy", "long", "up", "high", "profit", "gain", "surge", "breakout"}
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NEGATIVE_WORDS = {"crash", "bearish", "dump", "sell", "short", "down", "low", "loss", "scam", "drop", "fear", "panic", "rekt"}
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class SocialClient:
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def __init__(self, reddit_client_id: str, reddit_secret: str, reddit_user_agent: str,
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twitter_bearer: str = ""):
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self.reddit_client_id = reddit_client_id
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self.reddit_secret = reddit_secret
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self.reddit_user_agent = reddit_user_agent
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self.twitter_bearer = twitter_bearer
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self._reddit = None
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self._cache: list[dict] = []
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def _get_reddit(self):
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if self._reddit is None:
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import praw
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self._reddit = praw.Reddit(
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client_id=self.reddit_client_id,
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client_secret=self.reddit_secret,
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user_agent=self.reddit_user_agent,
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)
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return self._reddit
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def fetch_reddit(self, subreddits=("cryptocurrency", "binance", "CryptoMarkets"), limit=50) -> list[dict]:
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try:
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reddit = self._get_reddit()
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posts = []
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for sub_name in subreddits:
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sub = reddit.subreddit(sub_name)
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for post in sub.hot(limit=limit):
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posts.append({
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"title": post.title,
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"score": post.score,
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"num_comments": post.num_comments,
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"created_utc": post.created_utc,
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"subreddit": sub_name,
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})
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self._cache = posts
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return posts
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except Exception as e:
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logger.warning(f"Reddit fetch failed: {e}")
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return self._cache
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def filter_posts_by_coin(self, posts: list[dict], coin_symbol: str) -> list[dict]:
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symbol = coin_symbol.replace("USDT", "").upper()
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name_map = {"BTC": ["bitcoin", "btc"], "ETH": ["ethereum", "eth"],
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"SOL": ["solana", "sol"], "BNB": ["bnb", "binance coin"],
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"XRP": ["xrp", "ripple"], "DOGE": ["doge", "dogecoin"],
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"ADA": ["ada", "cardano"], "AVAX": ["avax", "avalanche"]}
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keywords = name_map.get(symbol, [symbol.lower()])
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return [p for p in posts if any(kw in p["title"].lower() for kw in keywords)]
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def simple_sentiment(self, posts: list[dict]) -> dict:
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positive = 0
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negative = 0
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neutral = 0
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for p in posts:
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words = set(p["title"].lower().split())
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pos_count = len(words & POSITIVE_WORDS)
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neg_count = len(words & NEGATIVE_WORDS)
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if pos_count > neg_count:
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positive += 1
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elif neg_count > pos_count:
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negative += 1
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else:
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neutral += 1
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return {"positive": positive, "negative": negative, "neutral": neutral, "total": len(posts)}
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