import ray
from ray.util.queue import Queue
from ray.actor import ActorHandle
import torch
import numpy as np


@ray.remote
class AppInterfaceActor:
    def __init__(self):
        self.audio_input_queue = Queue(maxsize=3000)  # Adjust the size as needed
        self.video_input_queue = Queue(maxsize=10)  # Adjust the size as needed
        self.audio_output_queue = Queue(maxsize=3000)  # Adjust the size as needed
        self.video_output_queue = Queue(maxsize=10)  # Adjust the size as needed
        self.debug_str = ""
        self.state = "Initializing"

    @staticmethod
    def get_singleton():
        return AppInterfaceActor.options(
            name="AppInterfaceActor",
            get_if_exists=True,
        ).remote()

# functions for UI to enqueue input, dequeue output
    async def enqueue_video_input_frame(self, shared_tensor_ref):
        if self.video_input_queue.full():
            evicted_item = await self.video_input_queue.get_async()
            del evicted_item
        await self.video_input_queue.put_async(shared_tensor_ref)

    async def enqueue_audio_input_frame(self, shared_buffer_ref):
        if self.audio_input_queue.full():
            evicted_item = await self.audio_input_queue.get_async()
            del evicted_item
        await self.audio_input_queue.put_async(shared_buffer_ref)

    async def dequeue_audio_output_frame_async(self):
        if self.audio_output_queue.empty():
            return None
        frame = await self.audio_output_queue.get_async()
        return frame

    async def dequeue_video_output_frames_async(self):
        video_frames = []
        if self.video_output_queue.empty():
            return video_frames
        while not self.video_output_queue.empty():
            shared_tensor = await self.video_output_queue.get_async()
            video_frames.append(shared_tensor)
        return video_frames

# functions for application to dequeue input, enqueue output    
    def get_audio_output_queue(self)->Queue:
        return self.audio_output_queue
    
    async def enqueue_video_output_frame(self, shared_tensor_ref):
        if self.video_output_queue.full():
            evicted_item = await self.video_output_queue.get_async()
            del evicted_item
        await self.video_output_queue.put_async(shared_tensor_ref)
    
    async def dequeue_audio_input_frames_async(self):
        audio_frames = []
        if self.audio_input_queue.empty():
            return audio_frames
        while not self.audio_input_queue.empty():
            shared_tensor = await self.audio_input_queue.get_async()
            audio_frames.append(shared_tensor)
        return audio_frames

    async def dequeue_video_input_frames_async(self):
        video_frames = []
        if self.video_input_queue.empty():
            return video_frames
        while not self.video_input_queue.empty():
            shared_tensor = await self.video_input_queue.get_async()
            video_frames.append(shared_tensor)
        return video_frames
    
# debug helpers
    async def get_debug_output(self)->str:
        return self.debug_str
    
    async def set_debug_output(self, debug_str:str):
        self.debug_str = debug_str

    async def get_state(self)->str:
        return self.state
    
    async def set_state(self, state:str):
        self.state = state