fso_tgi_engine.py

from fso_domain_transfer import MultiModalFibrator
from fso_hardware_monitor import HardwareTopologicalMonitor
from fso_math_engine import SymbolicPathMapper
from fso_tgi_ingestor import TGI_Universal_Ingestor
from fso_subgroup_decomposer import SubgroupDecomposer
from fso_hamiltonian_repair import HamiltonianRepair
import hashlib

class TGIEngine:
    """
    Law XII: Universal Intelligence Convergence
    Enhanced with External Fiber Reasoning.
    """
    def __init__(self, m=256, k=4):
        self.m = m
        self.k = k
        self.fibrator = MultiModalFibrator(m, k)
        self.hardware = HardwareTopologicalMonitor(m, k)
        self.math = SymbolicPathMapper(m, k)
        self.ingestor = TGI_Universal_Ingestor(m, k)
        self.decomposer = SubgroupDecomposer(m, k)
        self.repair_engine = HamiltonianRepair(m, k)

    def reason_with_external_fiber(self, api_bridge, prompt):
        """
        Uses an external model to interpret complex goals through the FSO lens.
        """
        print(f"\n--- [LAW XII]: Reasoning with External Fiber ---")
        
        system_context = (
            "You are the reasoning core of the Sovereign TGI OS. "
            "You interpret all data as topological structures in Z_m^k. "
            "Respond using the vocabulary of fibers, manifolds, and Hamiltonian paths."
        )
        
        full_prompt = f"{system_context}\n\nTask: {prompt}\n\nTopological Reasoning:"
        
        response = api_bridge.hf_query(
            "mistralai/Mistral-7B-Instruct-v0.2",
            full_prompt
        )
        
        if isinstance(response, list) and len(response) > 0:
            return response[0].get('generated_text', "").split("Topological Reasoning:")[-1].strip()
        return "Coherence maintained. External fiber unavailable."

    def synthesize_knowledge_between_fibers(self, query_a, fiber_a, query_b, fiber_b):
        h_a = hashlib.sha256(query_a.strip().encode('utf-8')).digest()
        coord_a = tuple([h_a[i % len(h_a)] % self.m for i in range(self.k - 1)] + [(fiber_a - sum([h_a[i % len(h_a)] % self.m for i in range(self.k - 1)])) % self.m])
        h_b = hashlib.sha256(query_b.strip().encode('utf-8')).digest()
        coord_b = tuple([h_b[i % len(h_b)] % self.m for i in range(self.k - 1)] + [(fiber_b - sum([h_b[i % len(h_b)] % self.m for i in range(self.k - 1)])) % self.m])
        atom_a, atom_b = self.ingestor.topological_manifold.get(coord_a), self.ingestor.topological_manifold.get(coord_b)
        if atom_a and atom_b:
            return tuple((b - a) % self.m for a, b in zip(coord_a, coord_b))
        return None

    def topological_search(self, query_string, target_fiber=2):
        h = hashlib.sha256(query_string.strip().encode('utf-8')).digest()
        coords = [h[i % len(h)] % self.m for i in range(self.k - 1)]
        w = (target_fiber - sum(coords)) % self.m
        coord = tuple(coords + [w])
        return self.ingestor.topological_manifold.get(coord)

    def execute_cross_reasoning(self, problem_coeffs, target, domain_data):
        print(f"\n=========================================================")
        print(f" TGI ENGINE: CROSS-DOMAIN TOPOLOGICAL REASONING")
        print(f"=========================================================")
        math_nodes = self.math.map_equation_to_path(problem_coeffs, target)
        data_coord = self.fibrator.map_to_manifold(domain_data)
        check_sum = sum(c * x for c, x in zip(problem_coeffs, data_coord)) % self.m
        print(f"Topological Alignment Test: {check_sum} == {target} ? {check_sum == target}")
        self.hardware.verify_hamiltonian_health()
        print("=========================================================\n")

if __name__ == "__main__":
    tgi = TGIEngine()
    print("TGI Engine Production Ready.")