import argparse
import uvicorn
from fastapi_sherpa import app

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--model_dir", type=str, default="/model", required=True, help="model directory")
    parser.add_argument("--model_type", type=str, default=None, help="model type, e.g. sensevoice")
    parser.add_argument("--use_gpu", action="store_true", default=True)
    parser.add_argument("--warmup", action="store_true", help="whether do warmup when first initializing model")
    parser.add_argument("--model_name", type=str, default=None, help="model's full name(optional) to determine model type")
    parser.add_argument("--num_threads", type=int, default=2, help="number of threads with model inference")
    parser.add_argument("--offline_model", action="store_true", help="indicating a non-streaming model when this flag is set")
    parser.add_argument("--port", type=int, default=8000, help="service port")

    args = parser.parse_args()

    # 将参数加到 app.state 中
    app.state.config = {
        "model_dir": args.model_dir,
        "model_type": args.model_type,
        "model_name": args.model_name,
        "num_threads": args.num_threads,
        "offline_model": args.offline_model,
        "use_gpu": args.use_gpu, # True
        "warmup": args.warmup,
    }

    uvicorn.run("fastapi_sherpa:app",
        host="0.0.0.0",
        port=args.port,
        workers=1
    )