from pathlib import Path
from typing import Iterable, Optional

from PIL import ImageDraw
from pydantic import BaseModel

from docling.datamodel.base_models import Page
from docling.datamodel.document import ConversionResult
from docling.datamodel.settings import settings
from docling.models.base_model import BasePageModel
from docling.utils.profiling import TimeRecorder


class PagePreprocessingOptions(BaseModel):
    images_scale: Optional[float]
    create_parsed_page: bool


class PagePreprocessingModel(BasePageModel):
    def __init__(self, options: PagePreprocessingOptions):
        self.options = options

    def __call__(
        self, conv_res: ConversionResult, page_batch: Iterable[Page]
    ) -> Iterable[Page]:
        for page in page_batch:
            assert page._backend is not None
            if not page._backend.is_valid():
                yield page
            else:
                with TimeRecorder(conv_res, "page_parse"):
                    page = self._populate_page_images(page)
                    page = self._parse_page_cells(conv_res, page)
                yield page

    # Generate the page image and store it in the page object
    def _populate_page_images(self, page: Page) -> Page:
        # default scale
        page.get_image(
            scale=1.0
        )  # puts the page image on the image cache at default scale

        images_scale = self.options.images_scale
        # user requested scales
        if images_scale is not None:
            page._default_image_scale = images_scale
            page.get_image(
                scale=images_scale
            )  # this will trigger storing the image in the internal cache

        return page

    # Extract and populate the page cells and store it in the page object
    def _parse_page_cells(self, conv_res: ConversionResult, page: Page) -> Page:
        assert page._backend is not None

        page.cells = list(page._backend.get_text_cells())

        if self.options.create_parsed_page:
            page.parsed_page = page._backend.get_segmented_page()

        # DEBUG code:
        def draw_text_boxes(image, cells, show: bool = False):
            draw = ImageDraw.Draw(image)
            for c in cells:
                x0, y0, x1, y1 = c.bbox.as_tuple()
                draw.rectangle([(x0, y0), (x1, y1)], outline="red")
            if show:
                image.show()
            else:
                out_path: Path = (
                    Path(settings.debug.debug_output_path)
                    / f"debug_{conv_res.input.file.stem}"
                )
                out_path.mkdir(parents=True, exist_ok=True)

                out_file = out_path / f"cells_page_{page.page_no:05}.png"
                image.save(str(out_file), format="png")

        if settings.debug.visualize_cells:
            draw_text_boxes(page.get_image(scale=1.0), page.cells)

        return page