#
# Copyright (c) 2024–2025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#


import asyncio
import os
import sys

import aiohttp
from dotenv import load_dotenv
from loguru import logger

from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.services.daily import DailyParams, DailyTransport
from pipecat.transports.services.helpers.daily_rest import (
    DailyMeetingTokenParams,
    DailyMeetingTokenProperties,
    DailyRESTHelper,
    DailyRoomParams,
)

load_dotenv(override=True)
logger.remove(0)
logger.add(sys.stderr, level="DEBUG")


async def main():
    """Main bot execution function."""
    async with aiohttp.ClientSession() as session:
        daily_rest_helper = DailyRESTHelper(
            daily_api_key=os.getenv("DAILY_API_KEY"),
            daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
            aiohttp_session=session,
        )

        room = await daily_rest_helper.create_room(
            DailyRoomParams(properties={"enable_prejoin_ui": False})
        )

        token_params = DailyMeetingTokenParams(
            properties=DailyMeetingTokenProperties(
                is_owner=True,
                permissions={
                    "hasPresence": False,  # Example: join as a hidden participant
                },
                start_video_off=True,
                start_audio_off=True,
            )
        )

        token = await daily_rest_helper.get_token(room_url=room.url, params=token_params)

        # Set up Daily transport with video/audio parameters
        transport = DailyTransport(
            room.url,
            token,
            "Chatbot",
            DailyParams(
                audio_in_enabled=True,
                vad_analyzer=SileroVADAnalyzer(),
                transcription_enabled=True,
            ),
        )

        # Initialize LLM service
        llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))

        messages = [
            {
                "role": "system",
                "content": "Summerize the conversation so far in a single sentence.",
            },
        ]

        # Set up conversation context and management
        # The context_aggregator will automatically collect conversation context
        context = OpenAILLMContext(messages)
        context_aggregator = llm.create_context_aggregator(context)

        #
        # RTVI events for Pipecat client UI
        #
        rtvi = RTVIProcessor(config=RTVIConfig(config=[]))

        pipeline = Pipeline(
            [
                transport.input(),
                rtvi,
                context_aggregator.user(),
                llm,
                transport.output(),
                context_aggregator.assistant(),
            ]
        )

        task = PipelineTask(
            pipeline,
            params=PipelineParams(
                enable_metrics=True,
                enable_usage_metrics=True,
            ),
            observers=[RTVIObserver(rtvi)],
        )

        @rtvi.event_handler("on_client_ready")
        async def on_client_ready(rtvi):
            await rtvi.set_bot_ready()
            # Kick off the conversation
            await task.queue_frames([context_aggregator.user().get_context_frame()])

        @transport.event_handler("on_first_participant_joined")
        async def on_first_participant_joined(transport, participant):
            print(f"Participant joined: {participant}")
            await transport.capture_participant_transcription(participant["id"])

        @transport.event_handler("on_participant_left")
        async def on_participant_left(transport, participant, reason):
            print(f"Participant left: {participant}")
            await task.cancel()

        runner = PipelineRunner()

        await runner.run(task)


if __name__ == "__main__":
    asyncio.run(main())