import json
import os
from pathlib import Path
from typing import Literal
import gradio as gr
import numpy as np
from dotenv import load_dotenv
from fastapi import FastAPI, HTTPException
from fastapi.responses import HTMLResponse, StreamingResponse, FileResponse
from fastrtc import (
    AdditionalOutputs,
    ReplyOnPause,
    Stream,
    get_stt_model,
)
import soundfile as sf
from gradio.utils import get_space
from pydantic import BaseModel
import httpx

load_dotenv()


curr_dir = Path(__file__).parent

stt_model = get_stt_model()

conversations = {}

barks = {
    "chiahuahua-short": sf.read(curr_dir / "chiahuahua-short.mp3"),
    "chiahuahua-long": sf.read(curr_dir / "chiahuahua-long.mp3"),
    "dachshund-short": sf.read(curr_dir / "dachshund-short.mp3"),
    "dachshund-long": sf.read(curr_dir / "dachshund-long.mp3"),
    "golden-retriever-short": sf.read(curr_dir / "golden-retriever-short.mp3"),
    "golden-retriever-long": sf.read(curr_dir / "golden-retriever-long.mp3"),
}
for k, v in barks.items():
    # Convert to mono if stereo by averaging channels, otherwise just use as is
    audio_data = v[0]
    if len(audio_data.shape) > 1 and audio_data.shape[1] > 1:
        # Convert stereo to mono by averaging channels
        audio_data = np.mean(audio_data, axis=1)
    barks[k] = (v[1], audio_data.astype(np.float32))


def response(
    audio: tuple[int, np.ndarray],
    breed: Literal["chiahuahua", "dachshund", "golden-retriever"],
):
    response = []
    prompt = stt_model.stt(audio)
    response.append({"role": "user", "content": prompt})
    length = "long" if len(prompt.split(" ")) > 10 else "short"
    file_name = f"{breed}-{length}"
    response.append(
        {
            "role": "assistant",
            "content": f"/files/{file_name}.mp3",
        }
    )
    audio_ = barks[file_name]
    yield audio_, AdditionalOutputs(response)


stream = Stream(
    modality="audio",
    mode="send-receive",
    handler=ReplyOnPause(response),
    additional_outputs_handler=lambda a, b: b,
    additional_inputs=[
        gr.Dropdown(choices=["chiahuahua", "dachshund", "golden-retriever"])
    ],
    additional_outputs=[gr.JSON()],
    rtc_configuration={"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]},
    concurrency_limit=20 if get_space() else None,
    time_limit=600 if get_space() else None,
)


class InputData(BaseModel):
    webrtc_id: str
    breed: Literal["chiahuahua", "dachshund", "golden-retriever"]


client = httpx.AsyncClient()
app = FastAPI()
stream.mount(app)


@app.get("/")
async def _():
    turn_key_id = os.environ.get("TURN_TOKEN_ID")
    turn_key_api_token = os.environ.get("TURN_API_TOKEN")
    ttl = 600

    response = await client.post(
        f"https://rtc.live.cloudflare.com/v1/turn/keys/{turn_key_id}/credentials/generate-ice-servers",
        headers={
            "Authorization": f"Bearer {turn_key_api_token}",
            "Content-Type": "application/json",
        },
        json={"ttl": ttl},
    )
    if response.is_success:
        rtc_config = response.json()
    else:
        raise Exception(
            f"Failed to get TURN credentials: {response.status_code} {response.text}"
        )
    html_content = (curr_dir / "index.html").read_text()
    html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
    return HTMLResponse(content=html_content, status_code=200)


@app.get("/files/{file_name}")
async def _(file_name: str):
    print("file_name", file_name)
    if Path(file_name).name.replace(".mp3", "") not in barks:
        raise HTTPException(status_code=404, detail="File not found")
    return FileResponse(curr_dir / file_name)


@app.post("/input_hook")
async def _(body: InputData):
    stream.set_input(body.webrtc_id, body.breed)
    return {"status": "ok"}


@app.get("/outputs")
def _(webrtc_id: str):
    async def output_stream():
        async for output in stream.output_stream(webrtc_id):
            messages = output.args[0]
            for msg in messages:
                yield f"event: output\ndata: {json.dumps(msg)}\n\n"

    return StreamingResponse(output_stream(), media_type="text/event-stream")


if __name__ == "__main__":
    import os

    if (mode := os.getenv("MODE")) == "UI":
        stream.ui.launch(server_port=7860)
    elif mode == "PHONE":
        stream.fastphone(host="0.0.0.0", port=7860)
    else:
        import uvicorn

        uvicorn.run(app, host="0.0.0.0" if get_space() else "127.0.0.1", port=7860)