from typing import TypedDict
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
from comfy_api.latest import _io



class SwitchNode(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        template = io.MatchType.Template("switch")
        return io.Schema(
            node_id="ComfySwitchNode",
            display_name="Switch",
            category="logic",
            is_experimental=True,
            inputs=[
                io.Boolean.Input("switch"),
                io.MatchType.Input("on_false", template=template, lazy=True, optional=True),
                io.MatchType.Input("on_true", template=template, lazy=True, optional=True),
            ],
            outputs=[
                io.MatchType.Output(template=template, display_name="output"),
            ],
        )

    @classmethod
    def check_lazy_status(cls, switch, on_false=..., on_true=...):
        # We use ... instead of None, as None is passed for connected-but-unevaluated inputs.
        # This trick allows us to ignore the value of the switch and still be able to run execute().

        # One of the inputs may be missing, in which case we need to evaluate the other input
        if on_false is ...:
            return ["on_true"]
        if on_true is ...:
            return ["on_false"]
        # Normal lazy switch operation
        if switch and on_true is None:
            return ["on_true"]
        if not switch and on_false is None:
            return ["on_false"]

    @classmethod
    def validate_inputs(cls, switch, on_false=..., on_true=...):
        # This check happens before check_lazy_status(), so we can eliminate the case where
        # both inputs are missing.
        if on_false is ... and on_true is ...:
            return "At least one of on_false or on_true must be connected to Switch node"
        return True

    @classmethod
    def execute(cls, switch, on_true=..., on_false=...) -> io.NodeOutput:
        if on_true is ...:
            return io.NodeOutput(on_false)
        if on_false is ...:
            return io.NodeOutput(on_true)
        return io.NodeOutput(on_true if switch else on_false)


class DCTestNode(io.ComfyNode):
    class DCValues(TypedDict):
        combo: str
        string: str
        integer: int
        image: io.Image.Type
        subcombo: dict[str]

    @classmethod
    def define_schema(cls):
        return io.Schema(
            node_id="DCTestNode",
            display_name="DCTest",
            category="logic",
            is_output_node=True,
            inputs=[_io.DynamicCombo.Input("combo", options=[
                _io.DynamicCombo.Option("option1", [io.String.Input("string")]),
                _io.DynamicCombo.Option("option2", [io.Int.Input("integer")]),
                _io.DynamicCombo.Option("option3", [io.Image.Input("image")]),
                _io.DynamicCombo.Option("option4", [
                    _io.DynamicCombo.Input("subcombo", options=[
                        _io.DynamicCombo.Option("opt1", [io.Float.Input("float_x"), io.Float.Input("float_y")]),
                        _io.DynamicCombo.Option("opt2", [io.Mask.Input("mask1", optional=True)]),
                    ])
                ])]
            )],
            outputs=[io.AnyType.Output()],
        )

    @classmethod
    def execute(cls, combo: DCValues) -> io.NodeOutput:
        combo_val = combo["combo"]
        if combo_val == "option1":
            return io.NodeOutput(combo["string"])
        elif combo_val == "option2":
            return io.NodeOutput(combo["integer"])
        elif combo_val == "option3":
            return io.NodeOutput(combo["image"])
        elif combo_val == "option4":
            return io.NodeOutput(f"{combo['subcombo']}")
        else:
            raise ValueError(f"Invalid combo: {combo_val}")


class AutogrowNamesTestNode(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        template = _io.Autogrow.TemplateNames(input=io.Float.Input("float"), names=["a", "b", "c"])
        return io.Schema(
            node_id="AutogrowNamesTestNode",
            display_name="AutogrowNamesTest",
            category="logic",
            inputs=[
                _io.Autogrow.Input("autogrow", template=template)
            ],
            outputs=[io.String.Output()],
        )

    @classmethod
    def execute(cls, autogrow: _io.Autogrow.Type) -> io.NodeOutput:
        vals = list(autogrow.values())
        combined = ",".join([str(x) for x in vals])
        return io.NodeOutput(combined)

class AutogrowPrefixTestNode(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        template = _io.Autogrow.TemplatePrefix(input=io.Float.Input("float"), prefix="float", min=1, max=10)
        return io.Schema(
            node_id="AutogrowPrefixTestNode",
            display_name="AutogrowPrefixTest",
            category="logic",
            inputs=[
                _io.Autogrow.Input("autogrow", template=template)
            ],
            outputs=[io.String.Output()],
        )

    @classmethod
    def execute(cls, autogrow: _io.Autogrow.Type) -> io.NodeOutput:
        vals = list(autogrow.values())
        combined = ",".join([str(x) for x in vals])
        return io.NodeOutput(combined)

class LogicExtension(ComfyExtension):
    @override
    async def get_node_list(self) -> list[type[io.ComfyNode]]:
        return [
            # SwitchNode,
            # DCTestNode,
            # AutogrowNamesTestNode,
            # AutogrowPrefixTestNode,
        ]

async def comfy_entrypoint() -> LogicExtension:
    return LogicExtension()