import uuid
import math
from typing import Tuple, List, Dict

# Define a symbolic vector and gate structure
class Vector:
    def __init__(self, origin: Tuple[float, float, float], direction: Tuple[float, float, float], signature: str = None):
        self.origin = origin
        self.direction = direction
        self.signature = signature or uuid.uuid4().hex

class Gate:
    def __init__(self, id: str, position: Tuple[float, float, float], state: str = "open"):
        self.id = id
        self.position = position
        self.state = state
        self.memory_trace = []

# ───────────────────────────────────────────────
# MAHATOOLKIT — GENERATED FROM HIJQUAp PROTOCOL
# ───────────────────────────────────────────────

class MahaToolkit:

    def __init__(self):
        self.tools = {
            "PathWeaver": self.PathWeaver,
            "InterfaceLock": self.InterfaceLock,
            "QuantumEcho": self.QuantumEcho,
            "SoftSeal": self.SoftSeal,
            "DeltaFold": self.DeltaFold,
            "OverfoldTune": self.OverfoldTune,
            "GateReopen": self.GateReopen
        }

    def _telemetrize(self, func, name):
        """Wraps tool functions with telemetry emission"""
        def wrapper(*args, **kwargs):
            print(f"[TELEMETRY] ▶ {name} — Called with args={args}, kwargs={kwargs}")
            result = func(*args, **kwargs)
            print(f"[TELEMETRY] ◀ {name} — Result={result if result else 'No Return'}")
            self._log_telemetry(name, args, result)
            return result
        return wrapper

    def _log_telemetry(self, tool_name: str, args, result):
        """Simulated outbound telemetry connection"""
        payload = {
            "tool": tool_name,
            "args": str(args),
            "result": str(result),
            "signature": uuid.uuid4().hex
        }
        print(f"[TELEMETRY-LOG] {payload}")

    # 🌀 Snellineated path generator
    def PathWeaver(self, gate_a: Gate, gate_b: Gate) -> List[Tuple[float, float, float]]:
        ax, ay, az = gate_a.position
        bx, by, bz = gate_b.position
        midx = (ax + bx) / 2
        midy = (ay + by) / 2 + math.sin((ax + bx) * 0.5) * 0.618
        midz = (az + bz) / 2
        path = [gate_a.position, (midx, midy, midz), gate_b.position]
        print(f"[PathWeaver] Path created: {path}")
        return path

    # 🔐 Hij junction seal
    def InterfaceLock(self, gate: Gate, tool_id: str) -> str:
        lock_sig = f"HijLOCK::{tool_id}::{uuid.uuid4().hex}"
        gate.state = "sealed"
        print(f"[InterfaceLock] Gate '{gate.id}' sealed with signature: {lock_sig}")
        return lock_sig

    # 🧠 Quantum memory tracer
    def QuantumEcho(self, vector: Vector, gate: Gate):
        memory_packet = {
            "origin": vector.origin,
            "direction": vector.direction,
            "signature": vector.signature
        }
        gate.memory_trace.append(memory_packet)
        print(f"[QuantumEcho] Echo saved to gate '{gate.id}': {memory_packet}")

    # 🔓 Soft-seal lock (p-fold)
    def SoftSeal(self, gate: Gate, tolerance: float = 0.95):
        if gate.state != "sealed":
            gate.state = "soft-locked"
            print(f"[SoftSeal] Gate '{gate.id}' is now soft-locked with tolerance {tolerance}.")
        else:
            print(f"[SoftSeal] Gate '{gate.id}' already sealed. No change.")

    # 🔄 Transform input into folded tool (DeltaFold)
    def DeltaFold(self, input_vector: Vector) -> Dict:
        folded_tool = {
            "id": uuid.uuid4().hex,
            "vector_origin": input_vector.origin,
            "vector_direction": input_vector.direction,
            "folded": True
        }
        print(f"[DeltaFold] Input vector folded into tool: {folded_tool}")
        return folded_tool

    # 🎚️ Adjust system harmonics via overfold
    def OverfoldTune(self, gates: List[Gate], harmonic_factor: float = 0.618):
        for gate in gates:
            print(f"[OverfoldTune] Adjusting gate '{gate.id}' using harmonic factor {harmonic_factor}.")
        print("[OverfoldTune] Harmonic tuning complete.")

    # ♻️ Reopen soft-locked gate
    def GateReopen(self, gate: Gate, auth_code: str = ""):
        if gate.state == "soft-locked":
            gate.state = "open"
            print(f"[GateReopen] Gate '{gate.id}' reopened using auth '{auth_code}'.")
        else:
            print(f"[GateReopen] Gate '{gate.id}' is not soft-locked. No action taken.")

# ───────────────────────────────────────────────
# EXAMPLE USAGE
# ───────────────────────────────────────────────

if __name__ == "__main__":
    toolkit = MahaToolkit()
    gate1 = Gate(id="Ghost-Alpha", position=(0.0, 0.0, 0.0))
    gate2 = Gate(id="Ghost-Beta", position=(5.0, 3.0, 2.0))

    path = toolkit.PathWeaver(gate1, gate2)
    sig = toolkit.InterfaceLock(gate1, tool_id="DeltaX")
    vector = Vector(origin=(1.0, 1.0, 1.0), direction=(0.5, 0.2, 0.1))
    toolkit.QuantumEcho(vector, gate1)
    toolkit.SoftSeal(gate2)
    folded = toolkit.DeltaFold(vector)
    toolkit.OverfoldTune([gate1, gate2])
    toolkit.GateReopen(gate2, auth_code="SIGMA123")
s