⦿ __root__

File Name	Summary
core_requirements.in	- Defines essential dependencies for the project, ensuring a robust environment for document processing and testing - By incorporating libraries such as loguru for logging, PyMuPDF and pypdf for PDF manipulation, and python-docx for Word document handling, it streamlines development and enhances functionality - Additionally, it includes testing frameworks like pytest to facilitate effective testing practices, contributing to overall code quality and reliability.
core_requirements.txt	- Defines essential dependencies for the project, ensuring that all necessary libraries are available for seamless functionality and testing - By managing package versions, it facilitates a consistent development environment, supporting various components like logging, document processing, and testing frameworks - This contributes to the overall stability and reliability of the codebase architecture, enabling efficient development and maintenance processes.
dev_requirements.in	- Defines development dependencies for the project, ensuring a consistent environment for contributors - By referencing core requirements and including essential tools like black for code formatting and ruff for linting, it streamlines the setup process - This facilitates collaboration and enhances code quality across the codebase, ultimately supporting efficient development practices within the overall architecture.
dev_requirements.txt	- Facilitates the management of development dependencies for the project by specifying required packages and their versions - This ensures a consistent environment for developers, enhancing collaboration and reducing setup issues - By automating the generation of this requirements file, it streamlines the process of maintaining and updating dependencies, ultimately supporting the overall architecture of the codebase focused on Jupyter-related functionalities.
LICENSE	- MIT License facilitates the free use, modification, and distribution of the software, ensuring that users can leverage the codebase without restrictions - It establishes the legal framework that protects both the authors and users, promoting collaboration and innovation within the project - By providing this license, the project encourages community engagement while limiting liability for the authors.
pyproject.toml	- Configuration settings streamline the linting, formatting, and packaging processes for the text-extraction application, TextSpitter - By defining rules for code quality and style, it ensures consistency and maintainability across the codebase - Additionally, it specifies project metadata, dependencies, and development tools, facilitating a smooth development experience and enhancing collaboration among contributors.
requirements.txt	- Manages project dependencies for a Python application by specifying required libraries and their versions - Ensures compatibility and stability within the codebase, facilitating the installation of essential packages such as lxml, pymupdf, pypdf2, and python-docx - This structure supports document processing and manipulation functionalities, contributing to the overall architectures efficiency and reliability.
_config.yml	- Configures the Jekyll site to utilize the Cayman theme, enhancing the visual presentation and user experience of the project - This setup plays a crucial role in defining the overall aesthetic and layout of the website, ensuring a cohesive and appealing design that aligns with the projects branding and purpose within the broader codebase architecture.

⦿ TextSpitter

File Name	Summary
core.py	- FileExtractor serves as a core component for extracting and processing content from various file types, including text, CSV, DOCX, and PDF formats - It standardizes file handling by providing methods to read and decode file contents while managing different input types - This functionality enhances the overall architecture by enabling seamless integration of file processing capabilities within the broader application ecosystem.
logger.py	- Enhancing application reliability through robust logging capabilities, the logger module facilitates a transition from basic print statements to a more sophisticated error capturing mechanism - By integrating the loguru library, it ensures that error tracking is efficient and organized, ultimately contributing to improved debugging and maintenance across the entire codebase architecture.
main.py	- WordLoader serves as a central component in the application, facilitating the loading and processing of various file types through its integration with the FileExtractor - By determining the appropriate extraction method based on file extensions and MIME types, it enhances the systems capability to handle diverse text formats, ensuring a seamless user experience while adhering to object-oriented design principles for future scalability.

⦿ .github

workflows

⦿ .github.workflows

File Name	Summary
python-publish.yml	- Automates the process of publishing a Python package to a package registry upon the creation of a release - By leveraging GitHub Actions, it ensures that the package is built and uploaded seamlessly, enhancing the overall workflow efficiency within the project - This integration supports continuous delivery practices, allowing for streamlined updates and distribution of the software.