import json
from typing import Dict, List

# Constants (kept for backwards compatibility)
DEFAULT_ELO = 1200  # Starting ELO for new models
K_FACTOR = 32  # Standard chess K-factor

# Load static leaderboard data
def load_static_leaderboard():
    """Load the static leaderboard from JSON file."""
    try:
        with open("data/leaderboard_static.json", "r") as f:
            return json.load(f)
    except FileNotFoundError:
        print("Warning: leaderboard_static.json not found")
        return {"leaderboard": [], "total_models": 0, "total_votes": 0, "last_updated": "Unknown"}

_static_data = load_static_leaderboard()

def get_leaderboard(model_data: Dict = None, voting_data: List = None, show_preliminary=True):
    """Return the static leaderboard data.
    
    Note: model_data and voting_data parameters are kept for backwards compatibility
    but are no longer used. The leaderboard is now loaded from static data.
    """
    leaderboard = _static_data.get("leaderboard", [])
    
    # Ensure ELO Score is string format for consistency
    for entry in leaderboard:
        if isinstance(entry.get("ELO Score"), (int, float)):
            entry["ELO Score"] = str(int(entry["ELO Score"]))
    
    if not show_preliminary:
        # Filter out models with less than 300 votes
        leaderboard = [entry for entry in leaderboard if entry.get("# Votes", 0) >= 300]
    
    return leaderboard

def get_leaderboard_stats(model_data: Dict = None, voting_data: List = None) -> str:
    """Get summary statistics for the leaderboard.
    
    Note: model_data and voting_data parameters are kept for backwards compatibility
    but are no longer used. Stats are now loaded from static data.
    """
    total_models = _static_data.get("total_models", 0)
    total_votes = _static_data.get("total_votes", 0)
    last_updated = _static_data.get("last_updated", "Unknown")

    return f"""
### Leaderboard Stats
- **Total Models**: {total_models}
- **Total Votes**: {total_votes}
- **Last Updated**: {last_updated}

*Note: Voting has been sunset. This leaderboard reflects the final standings.*
"""

def get_model_rankings(leaderboard: List[Dict]) -> Dict[str, int]:
    """Get current rankings of all models from leaderboard data."""
    return {entry["Model"]: idx + 1 for idx, entry in enumerate(leaderboard)}