# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations

import copy
import re
from copy import deepcopy
from functools import partial
from typing import List

import numpy as np
from PIL import Image, ImageDraw, ImageFont

from ....utils.fonts import PINGFANG_FONT
from ...common.result import (
    BaseCVResult,
    HtmlMixin,
    JsonMixin,
    LatexMixin,
    MarkdownMixin,
    WordMixin,
    XlsxMixin,
)
from .layout_objects import LayoutBlock
from .utils import get_seg_flag


def compile_title_pattern():
    # Precompiled regex pattern for matching numbering at the beginning of the title
    numbering_pattern = (
        r"(?:" + r"[1-9][0-9]*(?:\.[1-9][0-9]*)*[\.、]?|" + r"[\(\（](?:[1-9][0-9]*|["
        r"一二三四五六七八九十百千万亿零壹贰叁肆伍陆柒捌玖拾]+)[\)\）]|" + r"["
        r"一二三四五六七八九十百千万亿零壹贰叁肆伍陆柒捌玖拾]+"
        r"[、\.]?|" + r"(?:I|II|III|IV|V|VI|VII|VIII|IX|X)\.?" + r")"
    )
    return re.compile(r"^\s*(" + numbering_pattern + r")(\s*)(.*)$")


TITLE_RE_PATTERN = compile_title_pattern()


def format_title_func(block):
    """
    Normalize chapter title.
    Add the '#' to indicate the level of the title.
    If numbering exists, ensure there's exactly one space between it and the title content.
    If numbering does not exist, return the original title unchanged.

    :param title: Original chapter title string.
    :return: Normalized chapter title string.
    """
    title = block.content
    match = TITLE_RE_PATTERN.match(title)
    if match:
        numbering = match.group(1).strip()
        title_content = match.group(3).lstrip()
        # Return numbering and title content separated by one space
        title = numbering + " " + title_content

    title = title.rstrip(".")
    level = (
        title.count(
            ".",
        )
        + 1
        if "." in title
        else 1
    )
    return f"#{'#' * level} {title}".replace("-\n", "").replace(
        "\n",
        " ",
    )


def format_centered_by_html(string):
    return (
        f'<div style="text-align: center;">{string}</div>'.replace(
            "-\n",
            "",
        ).replace("\n", " ")
        + "\n"
    )


def format_text_plain_func(block):
    return block.content


def format_image_scaled_by_html_func(block, original_image_width):
    img_tags = []
    image_path = block.image["path"]
    image_width = block.image["img"].width
    scale = int(image_width / original_image_width * 100)
    img_tags.append(
        '<img src="{}" alt="Image" width="{}%" />'.format(
            image_path.replace("-\n", "").replace("\n", " "), scale
        ),
    )
    return "\n".join(img_tags)


def format_image_plain_func(block):
    img_tags = []
    if block.image:
        image_path = block.image["path"]
        img_tags.append(
            "![]({})".format(image_path.replace("-\n", "").replace("\n", " "))
        )
        return "\n".join(img_tags)
    return ""


def format_chart2table_func(block):
    lines_list = block.content.split("\n")
    column_num = len(lines_list[0].split("|"))
    lines_list.insert(1, "|".join(["---"] * column_num))
    lines_list = [f"|{line}|" for line in lines_list]
    return "\n".join(lines_list)


def simplify_table_func(table_code):
    return "\n" + table_code.replace("<html>", "").replace("</html>", "").replace(
        "<body>", ""
    ).replace("</body>", "")


def format_first_line_func(block, templates, format_func, spliter):
    lines = block.content.split(spliter)
    for idx in range(len(lines)):
        line = lines[idx]
        if line.strip() == "":
            continue
        if line.lower() in templates:
            lines[idx] = format_func(line)
        break
    return spliter.join(lines)


class LayoutParsingResultV2(
    BaseCVResult, HtmlMixin, XlsxMixin, MarkdownMixin, WordMixin, LatexMixin
):
    """Layout Parsing Result V2"""

    def __init__(self, data) -> None:
        """Initializes a new instance of the class with the specified data."""
        super().__init__(data)
        HtmlMixin.__init__(self)
        XlsxMixin.__init__(self)
        MarkdownMixin.__init__(self)
        JsonMixin.__init__(self)
        WordMixin.__init__(self)
        LatexMixin.__init__(self)

    def _to_img(self) -> dict[str, np.ndarray]:
        from .utils import get_show_color

        res_img_dict = {}
        model_settings = self["model_settings"]
        if model_settings["use_doc_preprocessor"]:
            for key, value in self["doc_preprocessor_res"].img.items():
                res_img_dict[key] = value
        res_img_dict["layout_det_res"] = self["layout_det_res"].img["res"]

        if model_settings["use_region_detection"]:
            res_img_dict["region_det_res"] = self["region_det_res"].img["res"]

        res_img_dict["overall_ocr_res"] = self["overall_ocr_res"].img["ocr_res_img"]

        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            table_cell_img = Image.fromarray(
                copy.deepcopy(self["doc_preprocessor_res"]["output_img"][:, :, ::-1])
            )
            table_draw = ImageDraw.Draw(table_cell_img)
            rectangle_color = (255, 0, 0)
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                cell_box_list = table_res["cell_box_list"]
                for box in cell_box_list:
                    x1, y1, x2, y2 = [int(pos) for pos in box]
                    table_draw.rectangle(
                        [x1, y1, x2, y2], outline=rectangle_color, width=2
                    )
            res_img_dict["table_cell_img"] = table_cell_img

        if model_settings["use_seal_recognition"] and len(self["seal_res_list"]) > 0:
            for sno in range(len(self["seal_res_list"])):
                seal_res = self["seal_res_list"][sno]
                seal_region_id = seal_res["seal_region_id"]
                sub_seal_res_dict = seal_res.img
                key = f"seal_res_region{seal_region_id}"
                res_img_dict[key] = sub_seal_res_dict["ocr_res_img"]

        # for layout ordering image
        image = Image.fromarray(self["doc_preprocessor_res"]["output_img"][:, :, ::-1])
        draw = ImageDraw.Draw(image, "RGBA")
        font_size = int(0.018 * int(image.width)) + 2
        font = ImageFont.truetype(PINGFANG_FONT.path, font_size, encoding="utf-8")
        parsing_result: List[LayoutBlock] = self["parsing_res_list"]
        for block in parsing_result:
            bbox = block.bbox
            index = block.order_index
            label = block.label
            fill_color = get_show_color(label, False)
            draw.rectangle(bbox, fill=fill_color)
            if index is not None:
                text_position = (bbox[2] + 2, bbox[1] - font_size // 2)
                if int(image.width) - bbox[2] < font_size:
                    text_position = (
                        int(bbox[2] - font_size * 1.1),
                        bbox[1] - font_size // 2,
                    )
                draw.text(text_position, str(index), font=font, fill="red")

        res_img_dict["layout_order_res"] = image

        return res_img_dict

    def _to_str(self, *args, **kwargs) -> dict[str, str]:
        """Converts the instance's attributes to a dictionary and then to a string.

        Args:
            *args: Additional positional arguments passed to the base class method.
            **kwargs: Additional keyword arguments passed to the base class method.

        Returns:
            Dict[str, str]: A dictionary with the instance's attributes converted to strings.
        """
        data = {}
        data["input_path"] = self["input_path"]
        data["page_index"] = self["page_index"]
        data["page_count"] = self["page_count"]
        data["width"] = self["width"]
        data["height"] = self["height"]
        model_settings = self["model_settings"]
        data["model_settings"] = model_settings
        parsing_res_list: List[LayoutBlock] = self["parsing_res_list"]
        parsing_res_list = [
            {
                "block_label": parsing_res.label,
                "block_content": parsing_res.content,
                "block_bbox": parsing_res.bbox,
                "block_id": parsing_res.index,
                "block_order": parsing_res.order_index,
            }
            for parsing_res in parsing_res_list
        ]
        data["parsing_res_list"] = parsing_res_list
        if self["model_settings"]["use_doc_preprocessor"]:
            data["doc_preprocessor_res"] = self["doc_preprocessor_res"].str["res"]
        data["layout_det_res"] = self["layout_det_res"].str["res"]
        data["overall_ocr_res"] = self["overall_ocr_res"].str["res"]
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            data["table_res_list"] = []
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                data["table_res_list"].append(table_res.str["res"])
        if model_settings["use_seal_recognition"] and len(self["seal_res_list"]) > 0:
            data["seal_res_list"] = []
            for sno in range(len(self["seal_res_list"])):
                seal_res = self["seal_res_list"][sno]
                data["seal_res_list"].append(seal_res.str["res"])
        if (
            model_settings["use_formula_recognition"]
            and len(self["formula_res_list"]) > 0
        ):
            data["formula_res_list"] = []
            for sno in range(len(self["formula_res_list"])):
                formula_res = self["formula_res_list"][sno]
                data["formula_res_list"].append(formula_res.str["res"])

        return JsonMixin._to_str(data, *args, **kwargs)

    def _to_json(self, *args, **kwargs) -> dict[str, str]:
        """
        Converts the object's data to a JSON dictionary.

        Args:
            *args: Positional arguments passed to the JsonMixin._to_json method.
            **kwargs: Keyword arguments passed to the JsonMixin._to_json method.

        Returns:
            Dict[str, str]: A dictionary containing the object's data in JSON format.
        """
        if self["model_settings"].get("format_block_content", False):
            original_image_width = self["doc_preprocessor_res"]["output_img"].shape[1]
            format_text_func = lambda block: format_centered_by_html(
                format_text_plain_func(block)
            )
            format_image_func = lambda block: format_centered_by_html(
                format_image_scaled_by_html_func(
                    block,
                    original_image_width=original_image_width,
                )
            )

            if self["model_settings"].get("use_chart_recognition", False):
                format_chart_func = format_chart2table_func
            else:
                format_chart_func = format_image_func

            if self["model_settings"].get("use_seal_recognition", False):
                format_seal_func = lambda block: "\n".join(
                    [format_image_func(block), format_text_func(block)]
                )
            else:
                format_seal_func = format_image_func

            if self["model_settings"].get("use_table_recognition", False):
                format_table_func = lambda block: "\n" + format_text_func(
                    block
                ).replace("<table>", '<table border="1">')
            else:
                format_table_func = format_image_func

            if self["model_settings"].get("use_formula_recognition", False):
                format_formula_func = lambda block: f"$${block.content}$$"
            else:
                format_formula_func = format_image_func

            handle_funcs_dict = {
                "paragraph_title": format_title_func,
                "abstract_title": format_title_func,
                "reference_title": format_title_func,
                "content_title": format_title_func,
                "doc_title": lambda block: f"# {block.content}".replace(
                    "-\n",
                    "",
                ).replace("\n", " "),
                "table_title": format_text_func,
                "figure_title": format_text_func,
                "chart_title": format_text_func,
                "vision_footnote": lambda block: block.content.replace(
                    "\n\n", "\n"
                ).replace("\n", "\n\n"),
                "text": lambda block: block.content.replace("\n\n", "\n").replace(
                    "\n", "\n\n"
                ),
                "abstract": partial(
                    format_first_line_func,
                    templates=["摘要", "abstract"],
                    format_func=lambda l: f"## {l}\n",
                    spliter=" ",
                ),
                "content": lambda block: block.content.replace("-\n", "  \n").replace(
                    "\n", "  \n"
                ),
                "image": format_image_func,
                "chart": format_chart_func,
                "formula": format_formula_func,
                "table": format_table_func,
                "reference": partial(
                    format_first_line_func,
                    templates=["参考文献", "references"],
                    format_func=lambda l: f"## {l}",
                    spliter="\n",
                ),
                "algorithm": lambda block: block.content.strip("\n"),
                "seal": format_seal_func,
                "number": format_text_plain_func,
                "footnote": format_text_plain_func,
                "header": format_text_plain_func,
                "header_image": format_image_plain_func,
                "footer": format_text_plain_func,
                "footer_image": format_image_plain_func,
                "aside_text": format_text_plain_func,
            }
            for label in self["model_settings"].get("markdown_ignore_labels", []):
                handle_funcs_dict.pop(label, None)

        data = {}
        data["input_path"] = self["input_path"]
        data["page_index"] = self["page_index"]
        data["page_count"] = self["page_count"]
        data["width"] = self["width"]
        data["height"] = self["height"]
        model_settings = self["model_settings"]
        data["model_settings"] = model_settings
        parsing_res_list: List[LayoutBlock] = self["parsing_res_list"]
        parsing_res_list_json = []
        for parsing_res in parsing_res_list:
            res_dict = {
                "block_label": parsing_res.label,
                "block_content": parsing_res.content,
                "block_bbox": parsing_res.bbox,
                "block_id": parsing_res.index,
                "block_order": parsing_res.order_index,
            }
            if self["model_settings"].get("format_block_content", False):
                if handle_funcs_dict.get(parsing_res.label):
                    res_dict["block_content"] = handle_funcs_dict[parsing_res.label](
                        parsing_res
                    )
                else:
                    res_dict["block_content"] = parsing_res.content

            parsing_res_list_json.append(res_dict)
        data["parsing_res_list"] = parsing_res_list_json
        if self["model_settings"]["use_doc_preprocessor"]:
            data["doc_preprocessor_res"] = self["doc_preprocessor_res"].json["res"]
        data["layout_det_res"] = self["layout_det_res"].json["res"]
        data["overall_ocr_res"] = self["overall_ocr_res"].json["res"]
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            data["table_res_list"] = []
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                data["table_res_list"].append(table_res.json["res"])
        if model_settings["use_seal_recognition"] and len(self["seal_res_list"]) > 0:
            data["seal_res_list"] = []
            for sno in range(len(self["seal_res_list"])):
                seal_res = self["seal_res_list"][sno]
                data["seal_res_list"].append(seal_res.json["res"])
        if (
            model_settings["use_formula_recognition"]
            and len(self["formula_res_list"]) > 0
        ):
            data["formula_res_list"] = []
            for sno in range(len(self["formula_res_list"])):
                formula_res = self["formula_res_list"][sno]
                data["formula_res_list"].append(formula_res.json["res"])
        return JsonMixin._to_json(data, *args, **kwargs)

    def _to_html(self) -> dict[str, str]:
        """Converts the prediction to its corresponding HTML representation.

        Returns:
            Dict[str, str]: The str type HTML representation result.
        """
        model_settings = self["model_settings"]
        res_html_dict = {}
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                table_region_id = table_res["table_region_id"]
                key = f"table_{table_region_id}"
                res_html_dict[key] = table_res.html["pred"]
        return res_html_dict

    def _to_xlsx(self) -> dict[str, str]:
        """Converts the prediction HTML to an XLSX file path.

        Returns:
            Dict[str, str]: The str type XLSX representation result.
        """
        model_settings = self["model_settings"]
        res_xlsx_dict = {}
        if model_settings["use_table_recognition"] and len(self["table_res_list"]) > 0:
            for sno in range(len(self["table_res_list"])):
                table_res = self["table_res_list"][sno]
                table_region_id = table_res["table_region_id"]
                key = f"table_{table_region_id}"
                res_xlsx_dict[key] = table_res.xlsx["pred"]
        return res_xlsx_dict

    def _to_markdown(self, pretty=True, show_formula_number=False) -> dict:
        """
        Save the parsing result to a Markdown file.

        Args:
            pretty (Optional[bool]): whether to pretty markdown by HTML, default by True.

        Returns:
            Dict
        """
        original_image_width = self["doc_preprocessor_res"]["output_img"].shape[1]

        if pretty:
            format_text_func = lambda block: format_centered_by_html(
                format_text_plain_func(block)
            )
            format_image_func = lambda block: format_centered_by_html(
                format_image_scaled_by_html_func(
                    block,
                    original_image_width=original_image_width,
                )
            )
        else:
            format_text_func = lambda block: block.content
            format_image_func = format_image_plain_func

        if self["model_settings"].get("use_chart_recognition", False):
            format_chart_func = format_chart2table_func
        else:
            format_chart_func = format_image_func

        if self["model_settings"].get("use_seal_recognition", False):
            format_seal_func = lambda block: "\n".join(
                [format_image_func(block), format_text_func(block)]
            )
        else:
            format_seal_func = format_image_func

        if self["model_settings"].get("use_table_recognition", False):
            if pretty:
                format_table_func = lambda block: "\n" + format_text_func(
                    block
                ).replace("<table>", '<table border="1">')
            else:
                format_table_func = lambda block: simplify_table_func(
                    "\n" + block.content
                )
        else:
            format_table_func = format_image_func

        if self["model_settings"].get("use_formula_recognition", False):
            format_formula_func = lambda block: f"$${block.content}$$"
        else:
            format_formula_func = format_image_func

        handle_funcs_dict = {
            "paragraph_title": format_title_func,
            "abstract_title": format_title_func,
            "reference_title": format_title_func,
            "content_title": format_title_func,
            "doc_title": lambda block: f"# {block.content}".replace(
                "-\n",
                "",
            ).replace("\n", " "),
            "table_title": format_text_func,
            "figure_title": format_text_func,
            "chart_title": format_text_func,
            "vision_footnote": lambda block: block.content.replace(
                "\n\n", "\n"
            ).replace("\n", "\n\n"),
            "text": lambda block: block.content.replace("\n\n", "\n").replace(
                "\n", "\n\n"
            ),
            "abstract": partial(
                format_first_line_func,
                templates=["摘要", "abstract"],
                format_func=lambda l: f"## {l}\n",
                spliter=" ",
            ),
            "content": lambda block: block.content.replace("-\n", "  \n").replace(
                "\n", "  \n"
            ),
            "image": format_image_func,
            "chart": format_chart_func,
            "formula": format_formula_func,
            "table": format_table_func,
            "reference": partial(
                format_first_line_func,
                templates=["参考文献", "references"],
                format_func=lambda l: f"## {l}",
                spliter="\n",
            ),
            "algorithm": lambda block: block.content.strip("\n"),
            "seal": format_seal_func,
            "number": format_text_plain_func,
            "footnote": format_text_plain_func,
            "header": format_text_plain_func,
            "header_image": format_image_plain_func,
            "footer": format_text_plain_func,
            "footer_image": format_image_plain_func,
            "aside_text": format_text_plain_func,
        }
        for label in self["model_settings"].get("markdown_ignore_labels", []):
            handle_funcs_dict.pop(label, None)

        markdown_content = ""
        last_label = None
        seg_start_flag = True
        seg_end_flag = True
        prev_block = None
        page_first_element_seg_start_flag = None
        page_last_element_seg_end_flag = None
        markdown_info = {}
        markdown_info["markdown_images"] = {}
        for block in self["parsing_res_list"]:
            seg_start_flag, seg_end_flag = get_seg_flag(block, prev_block)

            label = block.label
            if block.image is not None:
                markdown_info["markdown_images"][block.image["path"]] = block.image[
                    "img"
                ]
            page_first_element_seg_start_flag = (
                seg_start_flag
                if (page_first_element_seg_start_flag is None)
                else page_first_element_seg_start_flag
            )

            handle_func = handle_funcs_dict.get(label, None)
            if handle_func:
                prev_block = block
                if label == last_label == "text" and seg_start_flag == False:
                    markdown_content += handle_func(block)
                else:
                    markdown_content += (
                        "\n\n" + handle_func(block)
                        if markdown_content
                        else handle_func(block)
                    )
                last_label = label
        page_first_element_seg_start_flag = (
            True
            if page_first_element_seg_start_flag is None
            else page_first_element_seg_start_flag
        )
        page_last_element_seg_end_flag = seg_end_flag

        markdown_info["page_index"] = self["page_index"]
        markdown_info["input_path"] = self["input_path"]
        markdown_info["markdown_texts"] = markdown_content
        markdown_info["page_continuation_flags"] = (
            page_first_element_seg_start_flag,
            page_last_element_seg_end_flag,
        )
        for img in self["imgs_in_doc"]:
            markdown_info["markdown_images"][img["path"]] = img["img"]

        return markdown_info

    def _to_word(self) -> dict:
        from docx.enum.text import WD_ALIGN_PARAGRAPH

        """
        Convert the object's parsing result into a Word-compatible dict.

        Returns:
            dict: {
                "word_blocks": List[Dict],       # Simplified list of content blocks
                "original_image_width": int,   # Pixel width of the source page
                "input_path": str,             # Original input file path
                "images": List[Dict]           # List of {"path": str, "img": PIL.Image}
            }
        """

        word_blocks = []
        image = []

        STYLE_MAP = {
            "doc_title": {
                "level": 0,
                "size": 20,
                "bold": True,
                "align": WD_ALIGN_PARAGRAPH.CENTER,
            },
            "header": {
                "size": 16,
                "bold": True,
                "align": WD_ALIGN_PARAGRAPH.CENTER,
            },
            "abstract_title": {
                "level": 1,
                "size": 14,
                "bold": True,
                "align": WD_ALIGN_PARAGRAPH.CENTER,
            },
            "content_title": {
                "level": 1,
                "size": 14,
                "bold": True,
                "align": WD_ALIGN_PARAGRAPH.LEFT,
            },
            "reference_title": {
                "level": 1,
                "size": 14,
                "bold": True,
                "align": WD_ALIGN_PARAGRAPH.LEFT,
            },
            "paragraph_title": {
                "level": 2,
                "size": 14,
                "bold": True,
                "align": WD_ALIGN_PARAGRAPH.LEFT,
            },
            "abstract": {"size": 12, "align": WD_ALIGN_PARAGRAPH.JUSTIFY},
            "text": {
                "size": 12,
                "align": WD_ALIGN_PARAGRAPH.JUSTIFY,
                "indent": True,
            },
            "figure_title": {"size": 10, "align": WD_ALIGN_PARAGRAPH.CENTER},
            "table_title": {"size": 10, "align": WD_ALIGN_PARAGRAPH.CENTER},
            "chart_title": {"size": 10, "align": WD_ALIGN_PARAGRAPH.CENTER},
            "reference": {"size": 12, "align": WD_ALIGN_PARAGRAPH.JUSTIFY},
            "algorithm": {
                "font": "Courier New",
                "size": 11,
                "align": WD_ALIGN_PARAGRAPH.LEFT,
            },
            "formula": {"size": 12, "align": WD_ALIGN_PARAGRAPH.CENTER},
            "vision_footnote": {"size": 9, "align": WD_ALIGN_PARAGRAPH.LEFT},
            "number": {"size": 9, "align": WD_ALIGN_PARAGRAPH.CENTER},
            "footer": {"size": 9, "align": WD_ALIGN_PARAGRAPH.CENTER},
        }

        for block in self["parsing_res_list"]:

            label = block.label
            content = getattr(block, "content", "")
            if label in ["image", "chart", "seal"]:
                content = block.image["path"]
            config = STYLE_MAP.get(
                label,
                {"size": 12, "align": WD_ALIGN_PARAGRAPH.LEFT, "indent": True},
            )
            block_dict = {
                "type": label,
                "content": deepcopy(content),
                "config": config,
            }
            word_blocks.append(block_dict)
            if block.image is not None:
                image.append({"path": block.image["path"], "img": block.image["img"]})

        return {
            "word_blocks": word_blocks,
            "original_image_width": self["doc_preprocessor_res"]["output_img"].shape[1],
            "input_path": self["input_path"],
            "images": image,
        }

    def _to_latex(self) -> dict:
        """
        Convert the object's parsing result into a latex-compatible dict.

        Returns:
            dict: {
                "latex_blocks": List[Dict],       # Simplified list of content blocks
                "input_path": str,             # Original input file path
                "images": List[Dict]           # List of {"path": str, "img": PIL.Image}
            }
        """
        latex_blocks = []
        image = []

        for block in self["parsing_res_list"]:

            label = block.label
            content = getattr(block, "content", "")
            if label in ["image", "chart", "seal"]:
                content = block.image["path"]
            block_dict = {
                "type": label,
                "content": deepcopy(content),
            }
            latex_blocks.append(block_dict)
            if block.image is not None:
                image.append({"path": block.image["path"], "img": block.image["img"]})

        return {
            "latex_blocks": latex_blocks,
            "images": image,
            "input_path": self["input_path"],
        }
