from typing import Literal, Union

from pydantic import Field

from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin

from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig
from .image import ImageOutput


class RestoreFaceInvocation(BaseInvocation):
    """Restores faces in an image."""

    # fmt: off
    type:  Literal["restore_face"] = "restore_face"

    # Inputs
    image: Union[ImageField, None] = Field(description="The input image")
    strength:                float = Field(default=0.75, gt=0, le=1, description="The strength of the restoration"  )
    # fmt: on

    # Schema customisation
    class Config(InvocationConfig):
        schema_extra = {
            "ui": {
                "tags": ["restoration", "image"],
            },
        }

    def invoke(self, context: InvocationContext) -> ImageOutput:
        image = context.services.images.get_pil_image(self.image.image_name)
        results = context.services.restoration.upscale_and_reconstruct(
            image_list=[[image, 0]],
            upscale=None,
            strength=self.strength,  # GFPGAN strength
            save_original=False,
            image_callback=None,
        )

        # Results are image and seed, unwrap for now
        # TODO: can this return multiple results?
        image_dto = context.services.images.create(
            image=results[0][0],
            image_origin=ResourceOrigin.INTERNAL,
            image_category=ImageCategory.GENERAL,
            node_id=self.id,
            session_id=context.graph_execution_state_id,
            is_intermediate=self.is_intermediate,
        )

        return ImageOutput(
            image=ImageField(image_name=image_dto.image_name),
            width=image_dto.width,
            height=image_dto.height,
        )