"""
WellNuo Voice Agent - Julia AI
LiveKit Agents Cloud deployment
Uses WellNuo voice_ask API for LLM responses, Deepgram for STT/TTS
"""

import logging
import os
import random
import aiohttp

from livekit.agents import (
    Agent,
    AgentSession,
    JobContext,
    JobProcess,
    RoomInputOptions,
    WorkerOptions,
    cli,
    llm,
)
from livekit.plugins import deepgram, silero, noise_cancellation

logger = logging.getLogger("julia-ai")

# WellNuo API Configuration
WELLNUO_API_URL = "https://eluxnetworks.net/function/well-api/api"
WELLNUO_USER = os.getenv("WELLNUO_USER", "anandk")
WELLNUO_PASSWORD = os.getenv("WELLNUO_PASSWORD", "anandk_8")
# Hardcoded Ferdinand's deployment_id for testing
DEPLOYMENT_ID = os.getenv("DEPLOYMENT_ID", "21")

# Julia's personality for voice synthesis
JULIA_GREETING = "Hello! I'm Julia, your AI care assistant. How can I help you today?"


class WellNuoLLM(llm.LLM):
    """Custom LLM that uses WellNuo voice_ask API."""

    def __init__(self):
        super().__init__()
        self._token = None
        self._session = None

    async def _ensure_token(self):
        """Get authentication token from WellNuo API."""
        if self._token:
            return self._token

        async with aiohttp.ClientSession() as session:
            # Generate random nonce for request
            nonce = str(random.randint(0, 999999))
            data = {
                "function": "credentials",
                "clientId": "001",
                "user_name": WELLNUO_USER,
                "ps": WELLNUO_PASSWORD,  # API expects 'ps' not 'password'
                "nonce": nonce,
            }
            async with session.post(WELLNUO_API_URL, data=data) as resp:
                result = await resp.json()
                if result.get("status") == "200 OK":
                    self._token = result.get("access_token")
                    logger.info("WellNuo token obtained successfully")
                    return self._token
                else:
                    logger.error(f"Failed to get WellNuo token: {result}")
                    raise Exception("Failed to authenticate with WellNuo API")

    async def chat(
        self,
        *,
        chat_ctx: llm.ChatContext,
        tools: list[llm.FunctionTool] | None = None,
        tool_choice: llm.ToolChoice | None = None,
        parallel_tool_calls: bool | None = None,
        extra_body: dict | None = None,
    ) -> llm.LLMStream:
        """Send user question to WellNuo voice_ask API."""
        # Get the last user message
        user_message = ""
        for msg in reversed(chat_ctx.items):
            if hasattr(msg, 'role') and msg.role == "user":
                if hasattr(msg, 'content'):
                    user_message = msg.content
                    break

        if not user_message:
            # Return a default response if no user message
            return WellNuoLLMStream("I'm here to help. What would you like to know?")

        logger.info(f"User question: {user_message}")

        # Get response from WellNuo API
        try:
            token = await self._ensure_token()

            async with aiohttp.ClientSession() as session:
                data = {
                    "function": "voice_ask",
                    "clientId": "001",
                    "user_name": WELLNUO_USER,
                    "token": token,
                    "question": user_message,
                    "deployment_id": DEPLOYMENT_ID,
                }
                async with session.post(WELLNUO_API_URL, data=data) as resp:
                    result = await resp.json()

                    if result.get("ok"):
                        response_body = result.get("response", {}).get("body", "")
                        logger.info(f"WellNuo response: {response_body}")
                        return WellNuoLLMStream(response_body)
                    else:
                        logger.error(f"WellNuo API error: {result}")
                        return WellNuoLLMStream("I'm sorry, I couldn't get that information right now.")
        except Exception as e:
            logger.error(f"Error calling WellNuo API: {e}")
            return WellNuoLLMStream("I'm having trouble connecting. Please try again.")


class WellNuoLLMStream(llm.LLMStream):
    """Stream wrapper for WellNuo API response."""

    def __init__(self, response_text: str):
        super().__init__(
            llm=None,
            chat_ctx=llm.ChatContext(),
            tools=[],
            tool_choice=None,
            parallel_tool_calls=None,
            extra_body=None,
        )
        self._response_text = response_text
        self._sent = False

    async def _run(self):
        """Yield the response as a single chunk."""
        pass

    async def __anext__(self) -> llm.ChatChunk:
        if self._sent:
            raise StopAsyncIteration

        self._sent = True
        return llm.ChatChunk(
            id="wellnuo-response",
            delta=llm.ChoiceDelta(
                role="assistant",
                content=self._response_text,
            ),
        )

    def __aiter__(self):
        return self


def prewarm(proc: JobProcess):
    """Preload VAD model for faster startup."""
    proc.userdata["vad"] = silero.VAD.load()


async def entrypoint(ctx: JobContext):
    """Main Julia AI voice session handler."""

    logger.info(f"Starting Julia AI session in room {ctx.room.name}")
    logger.info(f"Using WellNuo voice_ask API with deployment_id: {DEPLOYMENT_ID}")

    session = AgentSession(
        # Deepgram Nova-2 for accurate speech-to-text
        stt=deepgram.STT(model="nova-2"),
        # WellNuo voice_ask API for LLM
        llm=WellNuoLLM(),
        # Deepgram Aura Asteria for natural female voice
        tts=deepgram.TTS(model="aura-asteria-en"),
        # Silero VAD for voice activity detection
        vad=ctx.proc.userdata["vad"],
    )

    # Start the session with Julia assistant
    await session.start(
        agent=Agent(instructions="You are Julia, a helpful AI care assistant."),
        room=ctx.room,
        room_input_options=RoomInputOptions(
            # Enable noise cancellation
            noise_cancellation=noise_cancellation.BVC(),
        ),
    )

    # Generate initial greeting
    await session.generate_reply(
        instructions="Greet the user warmly as Julia. Briefly introduce yourself as their AI care assistant and ask how you can help them today."
    )


if __name__ == "__main__":
    cli.run_app(
        WorkerOptions(
            entrypoint_fnc=entrypoint,
            prewarm_fnc=prewarm,
        )
    )