import numpy as np
import json
import os

class EvolutionaryLoRA:
    def __init__(self, brain, evaluation_set=None):
        self.brain = brain
        self.eval_set = evaluation_set

    def run_generation(self):
        out_path = os.path.expanduser("~/vitalis_core/storage/lora_delta_evo.json")
        os.makedirs(os.path.dirname(out_path), exist_ok=True)
        mock_delta = {
            "layer_delta_A": np.random.randn(4, 4).tolist(), 
            "layer_delta_B": np.random.randn(4, 4).tolist()
        }
        with open(out_path, "w") as f:
            json.dump(mock_delta, f, indent=2)
        print(f"[+] Synaptic optimization trace exported to {out_path}")