#
# Copyright (c) 2024-2026, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#


import asyncio
import os

import aiohttp
from dotenv import load_dotenv
from loguru import logger

from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.evals.transport import EvalTransportParams
from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.worker import PipelineParams, PipelineWorker, ProcessorUnusablePolicy
from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import (
    LLMContextAggregatorPair,
    LLMUserAggregatorParams,
)
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.services.speechify.tts import SpeechifyHttpTTSService
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
from pipecat.workers.runner import WorkerRunner

load_dotenv(override=True)


transport_params = {
    "eval": lambda: EvalTransportParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
    ),
    "daily": lambda: DailyParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
    ),
    "twilio": lambda: FastAPIWebsocketParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
    ),
    "webrtc": lambda: TransportParams(
        audio_in_enabled=True,
        audio_out_enabled=True,
    ),
}


async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
    logger.info("Starting bot")

    async with aiohttp.ClientSession() as session:
        stt = DeepgramSTTService(api_key=os.environ["DEEPGRAM_API_KEY"])

        tts = SpeechifyHttpTTSService(
            api_key=os.environ["SPEECHIFY_API_KEY"], aiohttp_session=session
        )

        llm = OpenAILLMService(
            api_key=os.environ["OPENAI_API_KEY"],
            settings=OpenAILLMService.Settings(
                system_instruction="You are a helpful assistant in a voice conversation. Your responses will be spoken aloud, so avoid emojis, bullet points, or other formatting that can't be spoken. Respond to what the user said in a creative, helpful, and brief way.",
            ),
        )

        context = LLMContext()
        user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
            context,
            user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
        )

        pipeline = Pipeline(
            [
                transport.input(),
                stt,
                user_aggregator,
                llm,
                tts,
                transport.output(),
                assistant_aggregator,
            ]
        )

        worker = PipelineWorker(
            pipeline,
            params=PipelineParams(
                enable_metrics=True,
                enable_usage_metrics=True,
            ),
            idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
            processor_unusable_policy=ProcessorUnusablePolicy.END,
        )

        @transport.event_handler("on_client_connected")
        async def on_client_connected(transport, client):
            logger.info("Client connected")
            context.add_message(
                {"role": "developer", "content": "Please introduce yourself to the user."}
            )
            await worker.queue_frames([LLMRunFrame()])

            await asyncio.sleep(10)
            logger.info("Updating Speechify TTS settings: voice=beatrice_32")
            await worker.queue_frame(
                TTSUpdateSettingsFrame(delta=SpeechifyHttpTTSService.Settings(voice="beatrice_32"))
            )

        @transport.event_handler("on_client_disconnected")
        async def on_client_disconnected(transport, client):
            logger.info("Client disconnected")
            await worker.cancel()

        runner = WorkerRunner(handle_sigint=runner_args.handle_sigint)

        await runner.add_workers(worker)
        await runner.run()


async def bot(runner_args: RunnerArguments):
    """Main bot entry point compatible with Pipecat Cloud."""
    transport = await create_transport(runner_args, transport_params)
    await run_bot(transport, runner_args)


if __name__ == "__main__":
    from pipecat.runner.run import main

    main()