"""
Quantum-aware CPU Parallel Driver with Electron-level Integration
Implements true parallel execution with direct integration to electron-based CPU architecture.
"""

from virtual_cpu import (CPU, Core, WORD_SIZE, REGISTER_COUNT, MEMORY_SIZE,
                        OP_ADD, OP_SUB, OP_MUL, OP_DIV, OP_AND, OP_OR, OP_XOR,
                        OP_SHL, OP_SHR, OP_LOAD, OP_STORE, OP_MOV, THREADS_PER_CORE)
from logic_gates import (NANDGate, ANDGate, ORGate, NOTGate, XORGate,
                        ALU1Bit, Register2Bit, VDD, VSS, VTH, GATE_DELAY)
from flip_flops import DFlipFlop, TFlipFlop
import concurrent.futures
import multiprocessing as mp
from multiprocessing import Process, Array, Lock, Queue, Event, Value, Barrier
import numpy as np
import time
import hashlib
import ctypes
from collections import deque
import asyncio
import threading
from typing import Any, Dict, List, Tuple
import queue

class ElectronState:
    """Tracks electron states in quantum-aware execution"""
    def __init__(self):
        self.voltage_level = VDD
        self.gate_delays = []
        self.transition_count = 0
        self.last_flip = time.time()
        
    def apply_gate_delay(self):
        """Simulate realistic gate delay based on electron physics"""
        time.sleep(GATE_DELAY)
        self.transition_count += 1
        
    def flip_state(self):
        """Flip electron state with proper timing"""
        now = time.time()
        if now - self.last_flip < GATE_DELAY:
            time.sleep(GATE_DELAY - (now - self.last_flip))
        self.voltage_level = VDD if self.voltage_level == VSS else VSS
        self.last_flip = now

class QuantumRegister:
    """Enhanced register using electron-aware D flip-flops"""
    def __init__(self, bits=WORD_SIZE):
        self.bits = bits
        self.dffs = [DFlipFlop() for _ in range(bits)]
        self.electron_states = [ElectronState() for _ in range(bits)]
        
    def write(self, data, clk):
        """Write with electron state tracking"""
        outputs = []
        for i in range(self.bits):
            bit = VDD if (data & (1 << i)) else VSS
            if bit != self.electron_states[i].voltage_level:
                self.electron_states[i].flip_state()
            outputs.append(self.dffs[i].update(bit, clk)[0])
        return outputs
        
    def read(self):
        """Read with electron delay simulation"""
        value = 0
        for i in range(self.bits):
            self.electron_states[i].apply_gate_delay()
            if self.dffs[i].sr.q > VTH:
                value |= (1 << i)
        return value

class ElectronAwareCore(Core):
    """Enhanced core with electron-level awareness"""
    def __init__(self, core_id, shared_memory, clock_freq):
        super().__init__(core_id, shared_memory, clock_freq)
        self.registers = [QuantumRegister(WORD_SIZE) for _ in range(REGISTER_COUNT)]
        self.electron_transitions = Value('i', 0)
        self.quantum_barrier = Barrier(THREADS_PER_CORE)
        self.execution_state = ElectronState()

class QuantumWorker:
    """Worker thread with quantum/electron awareness"""
    def __init__(self, worker_id: int, core: ElectronAwareCore, task_queue: Queue):
        self.worker_id = worker_id
        self.core = core
        self.task_queue = task_queue
        self.electron_state = ElectronState()
        self.running = Value('b', True)
        self.stats = {'quantum_transitions': 0, 'gate_delays': 0}
        
    async def run(self):
        """Main worker loop with electron-level timing"""
        print(f"Quantum Worker {self.worker_id} on Core {self.core.core_id} starting")
        
        while self.running.value:
            try:
                task = await self.get_next_task()
                if task:
                    # Synchronize at electron level before execution
                    self.core.quantum_barrier.wait()
                    result = await self.execute_task(task)
                    self.stats['quantum_transitions'] += self.electron_state.transition_count
                    
            except Exception as e:
                print(f"Quantum Worker {self.worker_id} error: {e}")
                continue
                
    async def execute_task(self, task):
        """Execute task with electron-level timing"""
        task_type = task.get('type', '')
        
        # Apply appropriate gate delays
        self.electron_state.apply_gate_delay()
        
        if task_type in ['ADD', 'SUB', 'MUL', 'DIV']:
            return await self.execute_alu_operation(task)
        elif task_type in ['LOAD', 'STORE']:
            return await self.execute_memory_operation(task)
        elif task_type.startswith('V'):
            return await self.execute_vector_operation(task)
        else:
            return await self.execute_quantum_operation(task)
            
    async def execute_alu_operation(self, task):
        """Execute ALU operation with electron-level timing"""
        op_type = task['type']
        src1 = self.core.registers[task['src1']].read()
        src2 = self.core.registers[task['src2']].read()
        
        # Simulate gate delays for ALU
        self.electron_state.apply_gate_delay()
        
        if op_type == 'ADD':
            result = src1 + src2
        elif op_type == 'SUB':
            result = src1 - src2
        elif op_type == 'MUL':
            result = src1 * src2
        elif op_type == 'DIV':
            result = src1 // src2 if src2 != 0 else 0
            
        # Write result with proper electron timing
        self.core.registers[task['dest']].write(result, VDD)
        return {'status': 'completed', 'result': result}
        
    async def execute_memory_operation(self, task):
        """Execute memory operation with electron-level timing"""
        if task['type'] == 'LOAD':
            addr = self.core.registers[task['src']].read()
            self.electron_state.apply_gate_delay()
            value = self.core.memory.read_word(addr)
            self.core.registers[task['dest']].write(value, VDD)
        else:  # STORE
            addr = self.core.registers[task['dest']].read()
            value = self.core.registers[task['src']].read()
            self.electron_state.apply_gate_delay()
            self.core.memory.write_word(addr, value)
        return {'status': 'completed'}
        
    async def execute_vector_operation(self, task):
        """Execute SIMD operation with electron-level timing"""
        vector = np.frombuffer(
            self.core.memory.get_obj(),
            dtype=np.float32
        )[task['vector_offset']:task['vector_offset'] + task['size']]
        
        self.electron_state.apply_gate_delay()
        
        if task['type'] == 'VADD':
            result = np.add.reduce(vector)
        elif task['type'] == 'VMUL':
            result = np.multiply.reduce(vector)
        elif task['type'] == 'VDOT':
            result = np.dot(vector[:vector.size//2], vector[vector.size//2:])
            
        return {'status': 'completed', 'result': float(result)}
        
    async def execute_quantum_operation(self, task):
        """Execute quantum-aware operation"""
        # Implementation for quantum operations
        return {'status': 'completed'}
        
    async def get_next_task(self):
        """Get next task with electron-aware timing"""
        try:
            task = self.task_queue.get(timeout=0.1)
            self.electron_state.apply_gate_delay()
            return task
        except queue.Empty:
            return None

class QuantumManager:
    """Manager for quantum-aware workers"""
    def __init__(self, core: ElectronAwareCore, num_workers: int):
        self.core = core
        self.num_workers = num_workers
        self.task_queues = [Queue() for _ in range(num_workers)]
        self.workers = []
        self.running = Value('b', True)
        
    async def start(self):
        """Start quantum-aware workers"""
        for i in range(self.num_workers):
            worker = QuantumWorker(i, self.core, self.task_queues[i])
            self.workers.append(worker)
            asyncio.create_task(worker.run())
            
        while self.running.value:
            await self.monitor_quantum_state()
            await asyncio.sleep(GATE_DELAY)
            
    async def monitor_quantum_state(self):
        """Monitor quantum state transitions"""
        total_transitions = sum(w.stats['quantum_transitions'] for w in self.workers)
        self.core.electron_transitions.value = total_transitions

class QuantumParallelDriver:
    """Advanced parallel driver with quantum/electron-level integration"""
    def __init__(self, num_cores=4):
        self.cpu = CPU(num_cores)  # Use the electron-based CPU
        self.managers = []
        
        # Initialize quantum-aware cores and managers
        for i in range(num_cores):
            core = ElectronAwareCore(i, self.cpu.memory, self.cpu.clock.current_frequency)
            manager = QuantumManager(core, THREADS_PER_CORE)
            self.managers.append(manager)
            
        self.loop = asyncio.new_event_loop()
        asyncio.set_event_loop(self.loop)
        
    async def start(self):
        """Start all quantum managers"""
        tasks = [manager.start() for manager in self.managers]
        await asyncio.gather(*tasks)
        
    def execute(self, program: Any):
        """Execute program with quantum-aware parallelization"""
        if isinstance(program, List):
            return self.execute_instructions(program)
        else:
            raise ValueError("Unsupported program type")
            
    def execute_instructions(self, instructions: List[Dict]):
        """Execute instructions with electron-level timing"""
        # Distribute tasks across cores and workers
        for i, instruction in enumerate(instructions):
            core_id = i % len(self.managers)
            worker_id = (i // len(self.managers)) % THREADS_PER_CORE
            self.managers[core_id].task_queues[worker_id].put(instruction)
            
        # Run quantum execution loop
        self.loop.run_until_complete(self.start())
        
        # Collect quantum statistics
        stats = {
            'total_transitions': sum(m.core.electron_transitions.value for m in self.managers),
            'gate_delays': sum(sum(w.stats['gate_delays'] for w in m.workers) for m in self.managers)
        }
        
        return {'status': 'completed', 'stats': stats}
        
    def stop(self):
        """Stop all quantum managers and workers"""
        for manager in self.managers:
            manager.running.value = False
            for worker in manager.workers:
                worker.running.value = False
        self.loop.stop()
        
if __name__ == "__main__":
    # Example usage
    driver = QuantumParallelDriver(num_cores=4)
    
    # Example instructions
    instructions = [
        {'type': 'ADD', 'src1': 0, 'src2': 1, 'dest': 2},
        {'type': 'VADD', 'vector_offset': 0, 'size': 1000},
        {'type': 'LOAD', 'src': 0, 'dest': 3},
    ]
    
    result = driver.execute(instructions)
    print(f"Execution completed with stats: {result['stats']}")
    
    driver.stop()