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pypi Pydantic v2 License

Parse Document Model (Python)

Parse Document Model (Python) provides Pydantic models for representing text documents using a hierarchical model. This library allows you to define documents as a hierarchy of (specialised) nodes where each node can represent a document, page, text, heading, body, and more.

These models aim to preserve the underlying structure of text documents for further processing, such as creating a table of contents or transforming between formats, e.g. converting a parsed PDF to Markdown.

  • Hierarchical structure: The document is modelled as a hierarchy of nodes. Each node can represent a part of the document itself, pages, text.
  • Rich text support: Nodes can represent not only the content but also the formatting (e.g. bold, italic) applied to the text.
  • Attributes: Each node can have attributes that provide additional information such as page number, bounding box, etc.
  • Built-in validation and types: Built with Pydantic, ensuring type safety, validation and effortless creation of complex document structures.

Requirements

  • Python 3.12 or above (Python 3.9, 3.10 and 3.11 are supported on best-effort).

Next steps

Document Model Overview

We want to represent the document structure using a hierarchy so that the inherited structure is preserved when chapters, sections and headings are used. Consider a generic document with two pages, one heading per page and one paragraph of text. The resulting representation might be the following.

Document
 ├─Page
 │  ├─Text (category: heading)
 │  └─Text (category: body)
 └─Page
    ├─Text (category: heading)
    └─Text (category: body)

At a glance you can see the structure, the document is composed of two pages and there are two headings. To do so we defined a hierarchy around the concept of a Node, like a node in a graph.

Node types

classDiagram
    class Node
    Node <|-- StructuredNode
    Node <|-- Text
    StructuredNode <|-- Document
    StructuredNode <|-- Page
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1. Node (Base Class)

This is the abstract class from which all other nodes inherit.

Each node has:

  • category: The type of the node (e.g., doc, page, heading).
  • attributes: Optional field to attach extra data to a node. See Attributes.

2. StructuredNode

This extends the Node. It is used to represent the hierarchy as a node whose content is a list of other nodes, such as like Document and Page.

  • content: List of Node.

3. Document

This is the root node of a document.

  • category: Always set to "doc".
  • attributes: Document-wide attributes can be set here.
  • content: List of Page nodes that form the document.

4. Page

Represents a page in the document:

  • category: Always set to "page".
  • attributes: Can contain metadata like page number.
  • content: List of Text nodes on the page.

5. Text

This node represent a paragraph, a heading or any text within the document.

  • category: The category of the text within the document, e.g. heading, title
  • content: A string representing the textual content.
  • marks: List of marks applied to the text, such as bold, italic, etc.
  • attributes: Can contain metadata like the bounding box representing where this portion of text is located in the page.

Category

Each block of text is assigned a category.

  • abstract: The abstract of the document.
  • acknowledgments: Section acknowledging contributors.
  • affiliation: Author's institutional affiliation.
  • appendix: Text within an appendix.
  • authors: List of authors.
  • body: Main body text of the document.
  • caption: Caption associated with a figure or table.
  • categories: Categories or topics listed in the document.
  • figure: Represents a figure or an image.
  • footer: Represents the footer of the page.
  • footnote: Text at the bottom of the page providing additional information.
  • formula: Mathematical formula or equation.
  • general-terms: General terms section.
  • heading: Any heading within the document.
  • keywords: List of keywords.
  • itemize-item: Item in a list or bullet point.
  • other: Any other unclassified text.
  • page-header: Represents the header of the page.
  • reference: References or citations within the document.
  • table: Represents a table.
  • title: The title of the document.
  • toc: Table of contents.

Marks

Marks are used to add style or functionality to the text within a Text node. For example, bold text, italic text, links and custom styles such as font or colour.

Mark Types

  • Bold: Represents bold text.
  • Italic: Represents italic text.
  • TextStyle: Allows customization of font and color.
  • Link: Represents a hyperlink.

Marks are validated and enforced with the help of Pydantic model validators.

Attributes

Attributes are optional fields that can store additional information for each node. Some predefined attributes are:

  • DocumentAttributes: General attributes for the document (currently reserved for the future).
  • PageAttributes: Specific page related attributes, such as the page number.
  • TextAttributes: Text related attributes, such as bounding boxes or level.
  • BoundingBox: A box that specifies the position of a text in the page.
  • Level: The specific level of the text within a document, for example, for headings.

Getting started

Installation

Parse Document Model is distributed with PyPI. You can install it with pip.

pip install parse-document-model

Quick Example

Here’s how you can represent a simple document with one page and some text:

from document_model_python.document import Document, Page, Text

doc = Document(
    category="doc",
    content=[
        Page(
            category="page",
            content=[
                Text(
                    category="heading",
                    content="Welcome to parse-document-model",
                    marks=["bold"]
                ),
                Text(
                    category="body",
                    content="This is an example text using the document model."
                )
            ]
        )
    ]
)

Testing

Parse Document Model is tested using pytest. Tests run for each commit and pull request.

Install the dependencies.

pip install -r requirements.txt -r requirements-dev.txt

Execute the test suite.

pytest

Contributing

Thank you for considering contributing to the Parse Document Model! The contribution guide can be found in the CONTRIBUTING.md file.

[NOTE] Consider opening a discussion before submitting a pull request with changes to the model structures.

Security Vulnerabilities

Please review our security policy on how to report security vulnerabilities.

Credits

Supporters

The project is provided and supported by OneOff-Tech (UG).

Aknowledgements

The format and structure takes inspiration from ProseMirror.

License

The MIT License (MIT). Please see License File for more information.