"""Simple deterministic backtester for MVP"""
from __future__ import annotations

from typing import Dict, List, Any
from .core import LocalProblem


class Backtester:
    @staticmethod
    def run(lp: LocalProblem, prices: Dict[str, float] | None = None) -> Dict[str, Any]:
        if prices is None:
            prices = {a: 100.0 for a in lp.assets}
        # Very small deterministic scoring: equal-weight returns based on price changes (simulated)
        total = 0.0
        for a in lp.assets:
            p = prices.get(a, 100.0)
            total += max(0.0, p - 100.0)
        # Simple metrics
        result = {
            "assets": lp.assets,
            "score": total,
            "iterations": 1,
            "timestamp": "2026-01-01T00:00:00Z",
        }
        return result