from comfy.cldm.control_types import UNION_CONTROLNET_TYPES
import comfy.utils
from comfy_api.v3 import io


class ControlNetApplyAdvanced_V3(io.ComfyNodeV3):
    @classmethod
    def DEFINE_SCHEMA(cls):
        return io.SchemaV3(
            node_id="ControlNetApplyAdvanced_V3",
            display_name="Apply ControlNet _V3",
            category="conditioning/controlnet",
            inputs=[
                io.Conditioning.Input(
                    "positive",
                    display_name="positive",
                ),
                io.Conditioning.Input(
                    "negative",
                    display_name="negative",
                ),
                io.ControlNet.Input(
                    "control_net",
                    display_name="control_net",
                ),
                io.Image.Input(
                    "image",
                    display_name="image",
                ),
                io.Float.Input(
                    "strength",
                    display_name="strength",
                    default=1.0,
                    min=0.0,
                    max=10.0,
                    step=0.01,
                ),
                io.Float.Input(
                    "start_percent",
                    display_name="start percent",
                    default=0.0,
                    min=0.0,
                    max=1.0,
                    step=0.001,
                ),
                io.Float.Input(
                    "end_percent",
                    display_name="end percent",
                    default=1.0,
                    min=0.0,
                    max=1.0,
                    step=0.001,
                ),
                io.Vae.Input(
                    "vae",
                    optional=True,
                ),
            ],
            outputs=[
                io.Conditioning.Output(
                    "positive_out",
                    display_name="positive",
                ),
                io.Conditioning.Output(
                    "negative_out",
                    display_name="negative",
                ),
            ],
        )

    @classmethod
    def execute(cls, positive, negative, control_net, image, strength, start_percent, end_percent, vae=None, extra_concat=[]):
        if strength == 0:
            return (positive, negative)

        control_hint = image.movedim(-1,1)
        cnets = {}

        out = []
        for conditioning in [positive, negative]:
            c = []
            for t in conditioning:
                d = t[1].copy()

                prev_cnet = d.get('control', None)
                if prev_cnet in cnets:
                    c_net = cnets[prev_cnet]
                else:
                    c_net = control_net.copy().set_cond_hint(control_hint, strength, (start_percent, end_percent), vae=vae, extra_concat=extra_concat)
                    c_net.set_previous_controlnet(prev_cnet)
                    cnets[prev_cnet] = c_net

                d['control'] = c_net
                d['control_apply_to_uncond'] = False
                n = [t[0], d]
                c.append(n)
            out.append(c)
        return (out[0], out[1])


class SetUnionControlNetType_V3(io.ComfyNodeV3):
    @classmethod
    def DEFINE_SCHEMA(cls):
        return io.SchemaV3(
            node_id="SetUnionControlNetType_V3",
            category="conditioning/controlnet",
            inputs=[
                io.ControlNet.Input(
                    "control_net",
                    display_name="control_net",
                ),
                io.Combo.Input(
                    "type",
                    options=["auto"] + list(UNION_CONTROLNET_TYPES.keys()),
                ),
            ],
            outputs=[
                io.ControlNet.Output(
                    "control_net_out",
                    display_name="control_net",
                ),
            ],
        )

    @classmethod
    def execute(cls, control_net, type):
        control_net = control_net.copy()
        type_number = UNION_CONTROLNET_TYPES.get(type, -1)
        if type_number >= 0:
            control_net.set_extra_arg("control_type", [type_number])
        else:
            control_net.set_extra_arg("control_type", [])

        return (control_net,)


class ControlNetInpaintingAliMamaApply_V3(ControlNetApplyAdvanced_V3):
    @classmethod
    def DEFINE_SCHEMA(cls):
        return io.SchemaV3(
            node_id="ControlNetInpaintingAliMamaApply_V3",
            category="conditioning/controlnet",
            inputs=[
                io.Conditioning.Input(
                    "positive",
                    display_name="positive",
                ),
                io.Conditioning.Input(
                    "negative",
                    display_name="negative",
                ),
                io.ControlNet.Input(
                    "control_net",
                    display_name="control_net",
                ),
                io.Vae.Input(
                    "vae",
                    display_name="vae",
                ),
                io.Image.Input(
                    "image",
                    display_name="image",
                ),
                io.Mask.Input(
                    "mask",
                    display_name="mask",
                ),
                io.Float.Input(
                    "strength",
                    display_name="strength",
                    default=1.0,
                    min=0.0,
                    max=10.0,
                    step=0.01,
                ),
                io.Float.Input(
                    "start_percent",
                    display_name="start percent",
                    default=0.0,
                    min=0.0,
                    max=1.0,
                    step=0.001,
                ),
                io.Float.Input(
                    "end_percent",
                    display_name="end percent",
                    default=1.0,
                    min=0.0,
                    max=1.0,
                    step=0.001,
                ),

            ],
            outputs=[
                io.Conditioning.Output(
                    "positive_out",
                    display_name="positive",
                ),
                io.Conditioning.Output(
                    "negative_out",
                    display_name="negative",
                ),
            ],
        )

    @classmethod
    def execute(cls, positive, negative, control_net, vae, image, mask, strength, start_percent, end_percent):
        extra_concat = []
        if control_net.concat_mask:
            mask = 1.0 - mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1]))
            mask_apply = comfy.utils.common_upscale(mask, image.shape[2], image.shape[1], "bilinear", "center").round()
            image = image * mask_apply.movedim(1, -1).repeat(1, 1, 1, image.shape[3])
            extra_concat = [mask]

        return super().execute(positive, negative, control_net, image, strength, start_percent, end_percent, vae=vae, extra_concat=extra_concat)


NODES_LIST: list[type[io.ComfyNodeV3]] = [
    ControlNetApplyAdvanced_V3,
    SetUnionControlNetType_V3,
    ControlNetInpaintingAliMamaApply_V3,
]