import numpy as np
import pyarrow as pa
from dora import DoraStatus
from utils import ask_vlm, speak

COUCH = np.array([[0.5, 0], [0.5, 0.5]]).ravel()
KITCHEN = np.array([[0.5, 0.0], [1.0, -1.0]]).ravel()
HOME = np.array([[0.5, 0.0], [0.0, 0.0]]).ravel()


## Policy Operator
class Operator:
    def speak(self, text: str):
        speak(text)

    def ask_model(self, image, text: str) -> bool:
        text = ask_vlm(image, text)
        return "Yes, " in text

    def on_event(self, dora_event: dict, send_output) -> DoraStatus:
        if dora_event["type"] == "INPUT":
            id = dora_event["id"]
            if id == "init":
                send_output("go_to", pa.array(COUCH))
            elif id == "goal_reached":
                print("goal reached", flush=True)
                image = dora_event["value"].to_numpy().reshape((540, 960, 3))
                if self.ask_model(image, "Is there anyone with a bruise shirt?"):
                    self.speak("I'm gonna go get coffee.")
                    send_output("go_to", pa.array(KITCHEN))
                    self.speak("I'm going to the kitchen.")
                else:
                    self.speak("There's no one with a bruise shirt.")
                    send_output("go_to", pa.array(COUCH))
                    self.speak("I'm going to the couch.")

        return DoraStatus.CONTINUE