RefCatch

Overview

RefCatch extracts references from text files (markdown, txt, etc.), attempts to find their DOIs using the CrossRef API, and outputs the results. It's designed to help researchers and academics easily manage and validate their reference lists.

Installation

# Install from PyPI
pip install refcatch

# Or install directly from the repository
git clone https://github.com/AhsanKhodami/refcatch.git
cd refcatch
pip install -e .

Usage

As a Python Package

from refcatch import refcatch

# Basic usage
refcatch("path/to/references.md", "path/to/output.md")

# With all options
refcatch(
    input_file="path/to/references.md", 
    output_file="path/to/output.md",
    doi_file="path/to/dois.txt",  # Optional, will be auto-generated if not provided
    log=True  # Set to False to disable logging
)

Command Line Interface

# Basic usage
refcatch references.md

# Specify output file
refcatch references.md -o output.md

# Specify DOI file and run silently
refcatch references.md -o output.md -d dois.txt --silent

Example

Input file (references.md):

1.	Wong WL, Su X, Li X, et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health. 2014;2(2):e106-116.
2.	Flaxman SR, Bourne RRA, Resnikoff S, et al. Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. Lancet Glob Health. 2017;5(12):e1221-e1234.

Output file:

1.	Wong WL, Su X, Li X, et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health. 2014;2(2):e106-116.
    DOI: 10.1016/S2214-109X(13)70145-1
2.	Flaxman SR, Bourne RRA, Resnikoff S, et al. Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. Lancet Glob Health. 2017;5(12):e1221-e1234.
    DOI: 10.1016/S2214-109X(17)30393-5

Features

Extracts references from plaintext files
Makes multiple attempts to find DOIs with different search strategies
Outputs references with their DOIs
Saves DOIs to a separate file
Optional logging of the process
Simple command-line interface

Publishing to PyPI

# Install build and twine
pip install build twine

# Build the package
python -m build

# Upload to PyPI (use --repository-url https://test.pypi.org/legacy/ for TestPyPI)
python -m twine upload dist/*

License

This project is licensed under the MIT License - see the LICENSE file for details.

A Python package for processing academic references