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crypto_news_trading/data/social_client.py

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import logging
from datetime import datetime
logger = logging.getLogger(__name__)
POSITIVE_WORDS = {"moon", "bullish", "pump", "rally", "amazing", "great", "buy", "long", "up", "high", "profit", "gain", "surge", "breakout"}
NEGATIVE_WORDS = {"crash", "bearish", "dump", "sell", "short", "down", "low", "loss", "scam", "drop", "fear", "panic", "rekt"}
class SocialClient:
def __init__(self, reddit_client_id: str, reddit_secret: str, reddit_user_agent: str,
twitter_bearer: str = ""):
self.reddit_client_id = reddit_client_id
self.reddit_secret = reddit_secret
self.reddit_user_agent = reddit_user_agent
self.twitter_bearer = twitter_bearer
self._reddit = None
self._cache: list[dict] = []
def _get_reddit(self):
if self._reddit is None:
import praw
self._reddit = praw.Reddit(
client_id=self.reddit_client_id,
client_secret=self.reddit_secret,
user_agent=self.reddit_user_agent,
)
return self._reddit
def fetch_reddit(self, subreddits=("cryptocurrency", "binance", "CryptoMarkets"), limit=50) -> list[dict]:
try:
reddit = self._get_reddit()
posts = []
for sub_name in subreddits:
sub = reddit.subreddit(sub_name)
for post in sub.hot(limit=limit):
posts.append({
"title": post.title,
"score": post.score,
"num_comments": post.num_comments,
"created_utc": post.created_utc,
"subreddit": sub_name,
})
self._cache = posts
return posts
except Exception as e:
logger.warning(f"Reddit fetch failed: {e}")
return self._cache
def filter_posts_by_coin(self, posts: list[dict], coin_symbol: str) -> list[dict]:
symbol = coin_symbol.replace("USDT", "").upper()
name_map = {"BTC": ["bitcoin", "btc"], "ETH": ["ethereum", "eth"],
"SOL": ["solana", "sol"], "BNB": ["bnb", "binance coin"],
"XRP": ["xrp", "ripple"], "DOGE": ["doge", "dogecoin"],
"ADA": ["ada", "cardano"], "AVAX": ["avax", "avalanche"]}
keywords = name_map.get(symbol, [symbol.lower()])
return [p for p in posts if any(kw in p["title"].lower() for kw in keywords)]
def simple_sentiment(self, posts: list[dict]) -> dict:
positive = 0
negative = 0
neutral = 0
for p in posts:
words = set(p["title"].lower().split())
pos_count = len(words & POSITIVE_WORDS)
neg_count = len(words & NEGATIVE_WORDS)
if pos_count > neg_count:
positive += 1
elif neg_count > pos_count:
negative += 1
else:
neutral += 1
return {"positive": positive, "negative": negative, "neutral": neutral, "total": len(posts)}