from .utils import runwareUtils as rwUtils


class threeDInferenceInputs:
    """3D Inference Inputs node for configuring 3D generation inputs"""

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {},
            "optional": {
                "image": ("IMAGE", {
                    "tooltip": "Input image for 3D inference. This image will be used as the source for generating the 3D model."
                }),
                "mask": ("IMAGE", {
                    "tooltip": "Optional mask image to specify a region of interest in the input image for 3D generation."
                }),
                "meshFile": ("STRING", {
                    "default": "",
                    "tooltip": "Base64 data URI of mesh file (.glb or .ply) from Runware Load Mesh, or media UUID from Runware Media Upload.",
                }),
            }
        }

    DESCRIPTION = "Configure custom inputs for Runware 3D Inference, including image and mask inputs."
    FUNCTION = "createInputs"
    RETURN_TYPES = ("RUNWARE3DINFERENCEINPUTS",)
    RETURN_NAMES = ("Inputs",)
    CATEGORY = "Runware"

    def createInputs(self, **kwargs):
        """Create 3D inference inputs from provided parameters"""
        image = kwargs.get("image", None)
        mask = kwargs.get("mask", None)
        mesh_file = kwargs.get("meshFile", "")

        inputs = {}

        if image is not None:
            inputs["image"] = rwUtils.convertTensor2IMG(image)

        if mask is not None:
            inputs["mask"] = rwUtils.convertTensor2IMG(mask)

        if mesh_file and isinstance(mesh_file, str) and mesh_file.strip():
            inputs["meshFile"] = mesh_file.strip()

        return (inputs,)


NODE_CLASS_MAPPINGS = {
    "Runware3DInferenceInputs": threeDInferenceInputs,
}

NODE_DISPLAY_NAME_MAPPINGS = {
    "Runware3DInferenceInputs": "Runware 3D Inference Inputs",
}