"""
Fundamental Features — Value, growth, quality scores from yfinance data.
"""
import logging

from backend.data.fundamentals import compute_fundamental_score, fetch_fundamentals
from backend.data.store import get_store

logger = logging.getLogger(__name__)


def compute_fundamental_features(ticker: str) -> dict:
    """
    Fetch fundamentals and compute a composite score.
    Uses SQLite cache to avoid refetching within 24 hours.

    Returns:
        dict with all fundamental metrics + composite score
    """
    store = get_store()

    # Check cache (24h TTL for fundamentals)
    cached = store.load_features(ticker, "fundamentals", max_age_hours=24)
    if cached:
        logger.debug(f"{ticker}: Using cached fundamentals")
        return cached

    # Fetch fresh
    fundamentals = fetch_fundamentals(ticker)
    if "error" in fundamentals:
        return {"ticker": ticker, "fundamental_score": 50.0, "error": fundamentals["error"]}

    # Compute composite score
    fundamentals["fundamental_score"] = compute_fundamental_score(fundamentals)

    # Cache
    store.save_features(ticker, "fundamentals", fundamentals)
    logger.info(f"{ticker}: Fundamental score = {fundamentals['fundamental_score']:.1f}")

    return fundamentals