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import dataclasses |
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from copy import deepcopy |
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from pathlib import Path |
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import re |
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from typing import Sequence, Any, Union, Optional |
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from PIL import Image |
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from .table_ocr import visualize_cells |
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from .utils import merge_line_texts, smart_join, y_overlap, list2box |
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from .layout_parser import ElementType |
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FORMULA_TAG = '^[(\(]\d+(\.\d+)*[)\)]$' |
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@dataclasses.dataclass |
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class Element(object): |
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id: str |
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box: Sequence |
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text: Optional[str] |
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meta: Any |
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type: ElementType |
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total_img: Image.Image |
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isolated: bool = False |
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col_number: int = -1 |
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score: float = 1.0 |
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spellchecker = None |
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kwargs: dict = dataclasses.field(default_factory=dict) |
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def __init__( |
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self, |
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*, |
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id: str, |
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box: Sequence, |
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isolated: bool, |
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col_number: int, |
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meta: Any, |
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type: ElementType, |
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total_img: Image.Image, |
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score: float, |
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text: Optional[str] = None, |
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spellchecker=None, |
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configs: Optional[dict] = None, |
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): |
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self.total_img = total_img |
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self.id = id |
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self.box = box |
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self.isolated = isolated |
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self.col_number = col_number |
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self.meta = meta |
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self.type = type |
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self.score = score |
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self.spellchecker = spellchecker |
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self.kwargs = configs or {} |
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if self.meta is not None and text is None: |
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self.text = self._meta_to_text() |
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else: |
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self.text = text |
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if self.isolated: |
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self.text = self.text + '\n' |
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def to_dict(self): |
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return dataclasses.asdict(self) |
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def _meta_to_text(self) -> str: |
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if self.type in (ElementType.TEXT, ElementType.TITLE): |
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embed_sep = self.kwargs.get('embed_sep', (' $', '$ ')) |
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isolated_sep = self.kwargs.get('isolated_sep', ('$$\n', '\n$$')) |
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line_sep = self.kwargs.get('line_sep', '\n') |
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auto_line_break = self.kwargs.get('auto_line_break', True) |
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if self.type == ElementType.TITLE: |
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for box_info in self.meta: |
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if box_info.get('type', 'text') == 'isolated': |
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box_info['type'] = 'embedding' |
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outs = merge_line_texts( |
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self.meta, |
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auto_line_break, |
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line_sep, |
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embed_sep, |
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isolated_sep, |
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self.spellchecker, |
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) |
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if self.type == ElementType.TITLE: |
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outs = smart_join(outs.split('\n'), self.spellchecker) |
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elif self.type == ElementType.FORMULA: |
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if isinstance(self.meta, dict): |
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outs = self.meta['text'] |
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elif isinstance(self.meta, list): |
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outs = [one['text'] for one in self.meta] |
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elif self.type == ElementType.TABLE: |
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outs = '\n'.join(self.meta.get('markdown', [])) |
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else: |
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outs = '' |
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return outs |
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def __repr__(self) -> str: |
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return f"Element({self.to_dict()})" |
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def __str__(self) -> str: |
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return self.__repr__() |
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def __lt__(self, other) -> bool: |
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""" |
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Adapted from https://github.com/SVJLucas/Scanipy/blob/main/scanipy/elements/element.py. |
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Less than operator for Element objects. |
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Args: |
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other (Element): Another Element object. |
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Returns: |
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bool: True if this Element is "less than" the other, False otherwise. |
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Raises: |
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TypeError: If 'other' is not an instance or subclass of Element. |
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""" |
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if not isinstance(other, Element): |
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raise TypeError("other must be an instance or subclass of Element") |
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return self._column_before(other) or ( |
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self._same_column(other) and (self.box[1] < other.box[1]) |
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) |
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def _column_before(self, other) -> bool: |
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""" |
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Adapted from https://github.com/SVJLucas/Scanipy/blob/main/scanipy/elements/element.py. |
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Check if this Element is in a column before the other Element. |
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Args: |
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other (Element): Another Element object. |
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Returns: |
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bool: True if in a column before, False otherwise. |
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""" |
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if not isinstance(other, Element): |
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raise TypeError("other must be an instance or subclass of Element") |
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return self.col_number < other.col_number |
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def _same_column(self, other) -> bool: |
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""" |
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Check if this Element is in the same column as the other Element. |
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Args: |
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other (Element): Another Element object. |
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Returns: |
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bool: True if in the same column, False otherwise. |
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""" |
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if not isinstance(other, Element): |
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raise TypeError("other must be an instance or subclass of ElementOutput") |
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return self.col_number == other.col_number |
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def box_width(box): |
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return box[2] - box[0] |
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class Page(object): |
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number: int |
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id: str |
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elements: Sequence[Element] |
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config: dict |
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spellchecker = None |
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def __init__( |
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self, |
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*, |
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number: int, |
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elements: Sequence[Element], |
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id: Optional[str] = None, |
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spellchecker=None, |
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config=None, |
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): |
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self.number = number |
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self.id = id or str(number) |
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self.elements = elements |
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self.spellchecker = spellchecker |
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self.config = config or {} |
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def __repr__(self) -> str: |
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return f"Page(id={self.id}, number={self.number}, elements={self.elements})" |
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def to_markdown( |
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self, |
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out_dir: Union[str, Path], |
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root_url: Optional[str] = None, |
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markdown_fn: Optional[str] = 'output.md', |
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) -> str: |
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""" |
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Convert the Page to markdown. |
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Args: |
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out_dir (Union[str, Path]): The output directory. |
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root_url (Optional[str]): The root url for the saved images in the markdown files. |
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markdown_fn (Optional[str]): The markdown file name. Default is 'output.md'. |
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Returns: The markdown string. |
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""" |
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out_dir = Path(out_dir) |
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out_dir.mkdir(exist_ok=True, parents=True) |
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self.elements = self._merge_isolated_formula_and_tag(self.elements) |
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self.elements.sort() |
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if not self.elements: |
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return '' |
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md_out = self._ele_to_markdown(self.elements[0], root_url, out_dir) |
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for idx, element in enumerate(self.elements[1:]): |
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prev_element = self.elements[idx] |
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cur_txt = self._ele_to_markdown(element, root_url, out_dir) |
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if ( |
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prev_element.col_number + 1 == element.col_number |
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and prev_element.type == element.type |
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and prev_element.type in (ElementType.TEXT, ElementType.TITLE) |
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and md_out |
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and md_out[-1] != '\n' |
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and cur_txt |
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and cur_txt[0] != '\n' |
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): |
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md_out = smart_join([md_out, cur_txt], self.spellchecker) |
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else: |
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md_out += '\n\n' + cur_txt |
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line_sep = '\n' |
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md_out = re.sub( |
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rf'{line_sep}{{2,}}', f'{line_sep}{line_sep}', md_out |
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) |
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if markdown_fn: |
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with open(out_dir / markdown_fn, 'w', encoding='utf-8') as f: |
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f.write(md_out) |
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return md_out |
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def _ele_to_markdown( |
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self, element: Element, root_url: Optional[str], out_dir: Union[str, Path] |
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): |
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type = element.type |
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text = element.text |
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if type in (ElementType.TEXT, ElementType.TABLE): |
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if type == ElementType.TABLE: |
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visualize_cells( |
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element.total_img.crop(element.box), |
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element.meta['cells'][0], |
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out_dir / f'{element.id}.png', |
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) |
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return text |
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elif type == ElementType.TITLE: |
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return f'## {text}' |
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elif type == ElementType.FORMULA: |
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isolated_sep = self.config.get('isolated_sep', ('$$\n', '\n$$')) |
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return isolated_sep[0] + text.strip() + isolated_sep[1] |
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elif type == ElementType.FIGURE: |
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out_figure_dir = out_dir / 'figures' |
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out_figure_dir.mkdir(exist_ok=True, parents=True) |
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out_path = out_figure_dir / f'{element.id}-{type.name}.jpg' |
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element.total_img.crop(element.box).save(str(out_path)) |
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_url = self._map_path_to_url(root_url, out_path, out_dir) |
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return f'' |
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return '' |
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def _map_path_to_url(self, root_url: Optional[str], path: Path, out_dir: Path): |
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rel_url = path.relative_to(out_dir) |
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if root_url is not None: |
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return f'{root_url}/{rel_url}' |
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return str(rel_url) |
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@classmethod |
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def _merge_isolated_formula_and_tag(cls, elements): |
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isolated_formula = [ |
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item |
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for item in elements |
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if item.type == ElementType.FORMULA and item.isolated |
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] |
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formula_caption = [ |
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item |
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for item in elements |
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if item.type == ElementType.TEXT and re.match(FORMULA_TAG, item.text) |
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] |
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ele_ids = set([item.id for item in isolated_formula + formula_caption]) |
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remaining_elements = [item for item in elements if item.id not in ele_ids] |
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for caption in formula_caption: |
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caption_xmin, caption_ymin, caption_xmax, caption_ymax = caption.box |
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min_dist = float('inf') |
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nearest_formula = None |
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for formula in isolated_formula: |
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formula_xmin, formula_ymin, formula_xmax, formula_ymax = formula.box |
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if ( |
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caption.col_number == formula.col_number |
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and y_overlap( |
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list2box(*caption.box), list2box(*formula.box), key=None |
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) |
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>= 0.8 |
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): |
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dist = caption_xmin - formula_xmax |
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if 0 <= dist < min_dist: |
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min_dist = dist |
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nearest_formula = formula |
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if nearest_formula is not None: |
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new_formula = deepcopy(nearest_formula) |
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formula_xmin, formula_ymin, formula_xmax, formula_ymax = new_formula.box |
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new_formula.box = [ |
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min(caption_xmin, formula_xmin), |
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min(caption_ymin, formula_ymin), |
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max(caption_xmax, formula_xmax), |
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max(caption_ymax, formula_ymax), |
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] |
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new_text = new_formula.text.strip() + ' \\tag{{{}}}'.format( |
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caption.text[1:-1] |
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) |
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new_formula.text = new_text |
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if new_formula.meta and isinstance(new_formula.meta, dict): |
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new_formula.meta['text'] = new_text |
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remaining_elements.append(new_formula) |
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isolated_formula.remove(nearest_formula) |
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else: |
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remaining_elements.append(caption) |
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return remaining_elements + isolated_formula |
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class Document(object): |
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number: int |
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id: str |
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pages: Sequence[Page] |
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config: dict |
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spellchecker = None |
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def __init__( |
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self, |
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*, |
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number: int, |
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pages: Sequence[Page], |
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id: Optional[str] = None, |
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spellchecker=None, |
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config=None, |
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): |
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self.number = number |
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self.id = id or str(number) |
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self.pages = pages |
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self.spellchecker = spellchecker |
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self.config = config or {} |
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def __repr__(self) -> str: |
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return f"Document(id={self.id}, number={self.number}, pages={self.pages})" |
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def to_markdown( |
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self, |
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out_dir: Union[str, Path], |
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root_url: Optional[str] = None, |
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markdown_fn: Optional[str] = 'output.md', |
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) -> str: |
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""" |
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Convert the Document to markdown. |
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Args: |
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out_dir (Union[str, Path]): The output directory. |
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root_url (Optional[str]): The root url for the saved images in the markdown files. |
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markdown_fn (Optional[str]): The markdown file name. Default is 'output.md'. |
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Returns: The markdown string. |
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""" |
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out_dir = Path(out_dir) |
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out_dir.mkdir(exist_ok=True, parents=True) |
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self.pages.sort(key=lambda page: page.number) |
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if not self.pages: |
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return '' |
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md_out = self.pages[0].to_markdown(out_dir, root_url=root_url, markdown_fn=None) |
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for idx, page in enumerate(self.pages[1:]): |
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prev_page = self.pages[idx] |
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cur_txt = page.to_markdown(out_dir, root_url=root_url, markdown_fn=None) |
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if ( |
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md_out |
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and prev_page.elements |
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and prev_page.elements[-1].type in (ElementType.TEXT, ElementType.TITLE) |
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and page.elements |
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and page.elements[0].type in (ElementType.TEXT, ElementType.TITLE) |
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and md_out[-1] != '\n' |
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and cur_txt |
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and cur_txt[0] != '\n' |
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): |
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md_out = smart_join([md_out, cur_txt], self.spellchecker) |
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else: |
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md_out += '\n\n' + cur_txt |
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line_sep = '\n' |
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md_out = re.sub( |
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rf'{line_sep}{{2,}}', f'{line_sep}{line_sep}', md_out |
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) |
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if markdown_fn: |
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with open(out_dir / markdown_fn, 'w', encoding='utf-8') as f: |
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f.write(md_out) |
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return md_out |
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