# rstat_tool/main.py import argparse import json import os import time import praw import yfinance as yf from dotenv import load_dotenv from . import database from .ticker_extractor import extract_tickers from .sentiment_analyzer import get_sentiment_score load_dotenv() MARKET_CAP_REFRESH_INTERVAL = 86400 POST_AGE_LIMIT = 86400 def load_subreddits(filepath): try: with open(filepath, 'r') as f: return json.load(f).get("subreddits", []) except (FileNotFoundError, json.JSONDecodeError) as e: print(f"Error loading config file '{filepath}': {e}") return None def get_financial_data(ticker_symbol): try: ticker = yf.Ticker(ticker_symbol) data = { "market_cap": ticker.fast_info.get('marketCap'), "closing_price": ticker.fast_info.get('previousClose') } return data except Exception: return {"market_cap": None, "closing_price": None} def get_reddit_instance(): client_id = os.getenv("REDDIT_CLIENT_ID") client_secret = os.getenv("REDDIT_CLIENT_SECRET") user_agent = os.getenv("REDDIT_USER_AGENT") if not all([client_id, client_secret, user_agent]): print("Error: Reddit API credentials not found in .env file.") return None return praw.Reddit(client_id=client_id, client_secret=client_secret, user_agent=user_agent) def scan_subreddits(reddit, subreddits_list, post_limit=100, comment_limit=100, days_to_scan=1): conn = database.get_db_connection() post_age_limit = days_to_scan * 86400 current_time = time.time() print(f"\nScanning {len(subreddits_list)} subreddit(s) for NEW posts in the last {days_to_scan} day(s)...") for subreddit_name in subreddits_list: try: subreddit_id = database.get_or_create_entity(conn, 'subreddits', 'name', subreddit_name) subreddit = reddit.subreddit(subreddit_name) print(f"Scanning r/{subreddit_name}...") for submission in subreddit.new(limit=post_limit): if (current_time - submission.created_utc) > post_age_limit: print(f" -> Reached posts older than the {days_to_scan}-day limit. Moving to next subreddit.") break post_text = submission.title + " " + submission.selftext tickers_in_post = extract_tickers(post_text) if tickers_in_post: post_sentiment = get_sentiment_score(submission.title) for ticker_symbol in set(tickers_in_post): ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol) database.add_mention(conn, ticker_id, subreddit_id, submission.id, 'post', int(submission.created_utc), post_sentiment) ticker_info = database.get_ticker_info(conn, ticker_id) if not ticker_info['last_updated'] or (current_time - ticker_info['last_updated'] > MARKET_CAP_REFRESH_INTERVAL): print(f" -> Fetching financial data for {ticker_symbol}...") financials = get_financial_data(ticker_symbol) database.update_ticker_financials( conn, ticker_id, financials['market_cap'] or ticker_info['market_cap'], financials['closing_price'] or ticker_info['closing_price'] ) submission.comments.replace_more(limit=0) all_comment_sentiments = [] for comment in submission.comments.list()[:comment_limit]: all_comment_sentiments.append(get_sentiment_score(comment.body)) tickers_in_comment = extract_tickers(comment.body) if tickers_in_comment: comment_sentiment = get_sentiment_score(comment.body) for ticker_symbol in set(tickers_in_comment): ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol) database.add_mention(conn, ticker_id, subreddit_id, submission.id, 'comment', int(comment.created_utc), comment_sentiment) avg_sentiment = sum(all_comment_sentiments) / len(all_comment_sentiments) if all_comment_sentiments else 0 post_analysis_data = { "post_id": submission.id, "title": submission.title, "post_url": f"https://reddit.com{submission.permalink}", "subreddit_id": subreddit_id, "post_timestamp": int(submission.created_utc), "comment_count": len(all_comment_sentiments), "avg_comment_sentiment": avg_sentiment } database.add_or_update_post_analysis(conn, post_analysis_data) except Exception as e: print(f"Could not scan r/{subreddit_name}. Error: {e}") conn.close() print("\n--- Scan Complete ---") def main(): """Main function to run the Reddit stock analysis tool.""" parser = argparse.ArgumentParser(description="Analyze stock ticker mentions on Reddit.", formatter_class=argparse.RawTextHelpFormatter) parser.add_argument("--config", default="subreddits.json", help="Path to the JSON file containing subreddits.\n(Default: subreddits.json)") parser.add_argument("--subreddit", help="Scan a single subreddit, ignoring the config file.") parser.add_argument("--days", type=int, default=1, help="Number of past days to scan for new posts.\n(Default: 1 for last 24 hours)") parser.add_argument("-p", "--posts", type=int, default=200, help="Max posts to check per subreddit.\n(Default: 200)") parser.add_argument("-c", "--comments", type=int, default=100, help="Number of comments to scan per post.\n(Default: 100)") parser.add_argument("-l", "--limit", type=int, default=20, help="Number of tickers to show in the CLI report.\n(Default: 20)") args = parser.parse_args() # --- THIS IS THE CORRECTED LOGIC BLOCK --- if args.subreddit: # If --subreddit is used, create a list with just that one. subreddits_to_scan = [args.subreddit] print(f"Targeted Scan Mode: Focusing on r/{args.subreddit}") else: # Otherwise, load from the config file. print(f"Config Scan Mode: Loading subreddits from {args.config}") # Use the correct argument name: args.config subreddits_to_scan = load_subreddits(args.config) if not subreddits_to_scan: print("Error: No subreddits to scan. Please check your config file or --subreddit argument.") return # --- Initialize and Run --- database.initialize_db() database.clean_stale_tickers() reddit = get_reddit_instance() if not reddit: return scan_subreddits( reddit, subreddits_to_scan, post_limit=args.posts, comment_limit=args.comments, days_to_scan=args.days ) database.generate_summary_report(limit=args.limit) if __name__ == "__main__": main()