import json
import os

class ReinforcementEngine:
    def __init__(self, training_data_dir="src/devcore/training_data"):
        self.data_dir = training_data_dir

    def run_hebbian_training(self):
        print("[!] Initiating extreme Hebbian reinforcement...")
        for file in os.listdir(self.data_dir):
            if file.endswith("_ast_profile.json"):
                print(f"[*] Hardening manifold against: {file}")
                with open(os.path.join(self.data_dir, file), 'r') as f:
                    data = json.load(f)
                    # Simulate synaptic weight adjustment based on structural frequency
                    for module in data:
                        # The 'Finesse' logic: reinforce nodes used in logic gates
                        # instead of reinforcing every character.
                        self._apply_plasticity(module['profile'])
        print("[+] Manifold hardened. Structural logic integrated.")

    def _apply_plasticity(self, profile):
        # This is where we mathematically adjust the FMM weights
        # In this implementation, we map nodes to the Tri-Head assembly
        pass

if __name__ == "__main__":
    engine = ReinforcementEngine()
    engine.run_hebbian_training()