cleanbib 0.1.1

A tool for parsing and cleaning BibTex and BibLaTex files for better LaTex bibliography formatting.

BibCleaner

BibCleaner is a Python package designed to parse, clean, and format .bib files for better LaTeX bibliography management. It ensures consistency in formatting, validates DOIs, and helps detect missing or incorrect fields. It facilitates integrations between citation management tools such as zotero and latex editor.

Features

Parses .bib files and structures them properly Cleans and formats author names (handles capitalization, prefixes like "van", "de", etc.) Ensures proper title capitalization (preserving LaTeX commands) Customize fields and remove duplicate authors Detects and fixes formatting issues in pages, DOIs, dates, etc.
Validates DOIs and warns if they are broken
Auto-generates citation keys based on author, title, and year
Categorizes warnings:

• Critical Issues: Missing author, title, year, etc.
• Soft Warnings: Broken DOI, minor inconsistencies

Installation

Install the package using pip:

pip install bibcleaner

Or, clone the repository and install it manually:

git clone https://github.com/harryziyuhe/bibcleaner.git
cd bibcleaner
pip install .

Usage

Basic Usage (CLI)

from bibcleaner import BibCleaner

cleaner = BibCleaner("references.bib")
cleaner.process()
cleaner.save_as_bib("cleaned_references.bib")

Example Input & Output

Example .bib File (Before Cleaning)

@article{einstein1923,
  author = "albert einstein",
  title = "the theory of relativity",
  journal = "journal of physics",
  year = "1923",
  doi = "10.1000/xyz123"
}

Cleaned Output

@article{Einstein_Theory_1923,
  author = {Albert Einstein},
  title = {The Theory of Relativity},
  journal = {Journal of Physics},
  year = {1923},
  doi = {10.1000/xyz123}
}

Warning Output

Critical Issues Found:
  Missing required field 'author' in @article{sample2024}

Soft Warnings:
  DOI '10.1000/broken' in @article{sample2023} may be broken (HTTP 404).

Advanced Features

Cleaning Options

You can specify which fields to keep when cleaning. Example:

keep_fields = {
    "article": ["author", "title", "journal", "year"],
    "book": ["author", "title", "publisher", "year"]
}
cleaner = BibCleaner("references.bib", keep_fields)
cleaner.process()

Export to JSON

cleaner.save_as_json("cleaned_references.json")

License

This project is licensed under the MIT License.
See LICENSE for details.

Contact

For suggestions or issues, feel free to open an issue on GitHub or contact [e-mail]