import json

from src.utils import OpenAIClient
from src.config import logger

from ._bot_actions_service import BotActionService


class WebRTCService:
    def __init__(self):
        self.openai_client = OpenAIClient
        self.bot_action_service = BotActionService()

    async def __aenter__(self):
        return self

    async def __aexit__(self, *args):
        pass

    async def handle_voice_conversion(
        self, websocket, conversation_id, user_id, conversation_history, redis_client
    ):
        while True:
            data = await websocket.receive_text()
            message = json.loads(data)

            # user_status = await redis_client.get(f"session:{conversation_id}")
            # if not user_status:
            #     logger.error("User session has ended")
            #     raise Exception("A max 25 minute session has ended")

            openai_server_events = {
                "session_created": message["type"] == "session.created",
                "function_call": (
                    message["type"] == "response.function_call_arguments.done"
                ),
                "input_transcription": (
                    message["type"]
                    == "conversation.item.input_audio_transcription.completed"
                ),
                "output_transcription": (
                    message["type"] == "response.done"
                    and message["response"]["status"] == "completed"
                    and message["response"]["output"][0]["type"] == "message"
                ),
            }

            if openai_server_events["session_created"]:
                create_conversation_event = {
                    "type": "conversation.item.create",
                    "previous_item_id": None,
                    "item": {
                        "type": "message",
                        "role": "user",
                        "content": [
                            {
                                "type": "input_text",
                                "text": f"Conversation History: {conversation_history}\n\n",
                            }
                        ],
                    },
                }
                await websocket.send_text(json.dumps(create_conversation_event))
                await websocket.send_text(json.dumps({"type": "response.create"}))

            if openai_server_events["function_call"]:
                response = await self.bot_action_service.handle_ai_function_call(
                    data=message, user_id=user_id
                )
                event_response = {
                    "type": "conversation.item.create",
                    "previous_item_id": None,
                    "item": {
                        "type": "message",
                        "role": "user",
                        "content": [
                            {
                                "type": "input_text",
                                "text": response,
                            }
                        ],
                    },
                }
                await websocket.send_text(json.dumps(event_response))
                event_response_2 = {"type": "response.create"}
                await websocket.send_text(json.dumps(event_response_2))

            elif openai_server_events["input_transcription"]:
                user_message = message["transcript"]
                await self.bot_action_service.handle_user_message(
                    message_content=user_message, conversation_id=conversation_id
                )

            elif openai_server_events["output_transcription"]:
                ai_response = message["response"]["output"][0]["content"][0][
                    "transcript"
                ]
                await self.bot_action_service.handle_ai_message(
                    message_content=ai_response, conversation_id=conversation_id
                )

            elif message["type"] == "error":
                logger.error(f"Error: {message['error']}")