# fetch_close_price.py
# This script does ONLY ONE THING: gets the closing price using the stable Ticker.history() method.
import sys
import json
import yfinance as yf
import pandas as pd
import logging

# Suppress verbose yfinance logging in this isolated process
logging.getLogger("yfinance").setLevel(logging.CRITICAL)

if __name__ == "__main__":
    if len(sys.argv) < 2:
        # Exit with an error code if no ticker is provided
        sys.exit(1)
    
    ticker_symbol = sys.argv[1]
    
    try:
        # Instead of the global yf.download(), we use the Ticker object's .history() method.
        # This uses a different internal code path that we have proven is stable.
        ticker = yf.Ticker(ticker_symbol)
        data = ticker.history(period="2d", auto_adjust=False)
        # --- END OF FIX ---
        
        closing_price = None
        if not data.empty:
            last_close_raw = data['Close'].iloc[-1]
            if pd.notna(last_close_raw):
                closing_price = float(last_close_raw)
        
        # On success, print JSON to stdout and exit cleanly
        print(json.dumps({"closing_price": closing_price}))
        sys.exit(0)
    except Exception:
        # If any error occurs, print an empty JSON and exit with an error code
        print(json.dumps({"closing_price": None}))
        sys.exit(1)