#
# 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 runner import configure

from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams
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.services.cartesia import CartesiaTTSService
from pipecat.services.gemini_multimodal_live.gemini import (
    GeminiMultimodalLiveLLMService,
    GeminiMultimodalModalities,
    InputParams,
)
from pipecat.transports.services.daily import DailyParams, DailyTransport

load_dotenv(override=True)

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

SYSTEM_INSTRUCTION = f"""
"You are Gemini Chatbot, a friendly, helpful robot.

Your goal is to demonstrate your capabilities in a succinct way.

Your output will be converted to audio so don't include special characters in your answers.

Respond to what the user said in a creative and helpful way. Keep your responses brief. One or two sentences at most.
"""


async def main():
    async with aiohttp.ClientSession() as session:
        (room_url, token) = await configure(session)

        transport = DailyTransport(
            room_url,
            token,
            "Respond bot",
            DailyParams(
                audio_out_enabled=True,
                vad_enabled=True,
                vad_audio_passthrough=True,
                # set stop_secs to something roughly similar to the internal setting
                # of the Multimodal Live api, just to align events. This doesn't really
                # matter because we can only use the Multimodal Live API's phrase
                # endpointing, for now.
                vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
            ),
        )

        llm = GeminiMultimodalLiveLLMService(
            api_key=os.getenv("GOOGLE_API_KEY"),
            transcribe_user_audio=True,
            transcribe_model_audio=True,
            system_instruction=SYSTEM_INSTRUCTION,
            tools=[{"google_search": {}}, {"code_execution": {}}],
            params=InputParams(modalities=GeminiMultimodalModalities.TEXT),
        )

        # Optionally, you can set the response modalities via a function
        # llm.set_model_modalities(
        #     GeminiMultimodalModalities.TEXT
        # )

        tts = CartesiaTTSService(
            api_key=os.getenv("CARTESIA_API_KEY"), voice_id="71a7ad14-091c-4e8e-a314-022ece01c121"
        )

        messages = [
            {
                "role": "user",
                "content": 'Start by saying "Hello, I\'m Gemini".',
            },
        ]

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

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

        task = PipelineTask(
            pipeline,
            params=PipelineParams(
                allow_interruptions=True,
                enable_metrics=True,
                enable_usage_metrics=True,
            ),
        )

        @transport.event_handler("on_first_participant_joined")
        async def on_first_participant_joined(transport, participant):
            await transport.capture_participant_transcription(participant["id"])
            await task.queue_frames([context_aggregator.user().get_context_frame()])

        @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())