import ctypes
import glob
import importlib.metadata
import json
import platform

import torch

packages = ["torch", "torchvision", "mmcv", "mmengine", "mmdet", "mmpose", "numpy",
            "opencv-python-headless", "cyndilib", "fastapi", "uvicorn", "websockets", "psutil", "nvidia-ml-py"]
ndi_path = glob.glob("/opt/conda/lib/python3.10/site-packages/cyndilib/wrapper/bin/*/libndi.so")[0]
ndi = ctypes.CDLL(ndi_path)
ndi.NDIlib_version.restype = ctypes.c_char_p
print(json.dumps({
    "python": platform.python_version(), "packages": {p: importlib.metadata.version(p) for p in packages},
    "torch_cuda_build": torch.version.cuda, "cudnn": torch.backends.cudnn.version(),
    "cuda_available": torch.cuda.is_available(), "cuda_device": torch.cuda.get_device_name(0),
    "ndi_runtime_version": ndi.NDIlib_version().decode(), "ndi_runtime_path": ndi_path,
}, indent=2))