A tool to automatically generate formatted citations from paper titles
Project description
CiteMaster
CiteMaster is a smart Python package that helps you automatically generate formatted citations from research paper titles or files of titles. No more manual DOI searching or formatting—CiteMaster does it all for you!
Features
- Extracts DOI from paper titles using the CrossRef API
- Fetches corresponding BibTeX data
- Formats citations in APA, MLA, or IEEE
- Supports batch citation generation from
.txtor.csvfiles - Saves formatted citations and BibTeX entries to text files
- NEW: Comprehensive test suite with 39+ unit tests
- NEW: Configurable settings via JSON config file
- NEW: Advanced error handling with automatic retries
- NEW: Custom exceptions with helpful error messages
- NEW: Color-coded output and progress statistics
- Progress tracking for batch processing of large lists of papers
- Detailed logging with configurable verbosity
Installation
Clone and install CiteMaster locally:
git clone https://github.com/mehmoodulhaq570/CiteMaster.git
cd CiteMaster
pip install requirements.txt
OR you can use the:
pip install cite_master
Note: Make sure you’re using Python 3.7 or higher.
How to Use
CiteMaster provides an interactive interface.
Running the Program
from cite_master import main
main()
You'll be prompted to input:
- A paper title or a file path (
.txtor.csv) - A citation format:
apa,mla, orieee - Whether to include BibTeX citations along with formatted ones.
- Whether to save the formatted citations and/or BibTeX entries to output files.
Example 1: Single Paper Title
Input:
Enter a paper title or provide a file path (txt/csv): Deep Learning for Solar Energy Forecasting: A Review
Enter citation format (apa, mla, ieee): apa
Do you want the BibTeX citation as well? (yes/no): yes
Do you want to save formatted citations to outputs/citations_output.txt? (yes/no): yes
Do you want to save BibTeX entries to outputs/bibtex_output.txt? (yes/no): yes
Output:
DOI: 10.1016/j.rser.2020.109984
BibTeX:
@article{DeepLearning2020,
title={Deep Learning for Solar Energy Forecasting: A Review},
author={John Smith and Alice Johnson},
journal={Renewable and Sustainable Energy Reviews},
volume={132},
pages={109984},
year={2020},
publisher={Elsevier}
}
Formatted Citation (APA):
Smith, J., & Johnson, A. (2020). Deep Learning for Solar Energy Forecasting: A Review. *Renewable and Sustainable Energy Reviews*, 132, 109984. https://doi.org/10.1016/j.rser.2020.109984
The formatted citation and BibTeX entry will be saved to outputs/citations_output.txt and outputs/bibtex_output.txt.
Example 2: File of Titles
Input:
Enter a paper title or provide a file path (txt/csv): C:\path\to\your\file\paper_titles.txt
Enter citation format (apa, mla, ieee): mla
Do you want the BibTeX citation as well? (yes/no): no
Do you want to save formatted citations to outputs/citations_output.txt? (yes/no): yes
In this case, BibTeX entries will not be fetched, and the formatted citations will be saved to outputs/citations_output.txt.
Supported Input Formats
- .txt file: One paper title per line
- .csv file: First column should contain the titles
Example paper_titles.txt:
Artificial Intelligence for Smart Grids
Machine Learning in Climate Forecasting
Machine Learning in Solar Forecasting
Output Files
- Formatted Citations: All formatted citations will be saved to
outputs/citations_output.txt. - BibTeX Entries: BibTeX entries will be saved to
outputs/bibtex_output.txtif requested. - Error Logs: Any errors during processing will be logged in
errors.log.
Configuration
CiteMaster now supports custom configuration! Create a config.json file:
python -c "from cite_master.config import Config; Config.create_default_config_file()"
Customize settings like:
- API timeouts and retry attempts
- Output directories
- Log file locations
- Color output preferences
- And more!
Testing
CiteMaster includes a comprehensive test suite:
# Install test dependencies
pip install -r tests/requirements-test.txt
# Run tests
pytest tests/ -v
# Run with coverage
pytest tests/ --cov=cite_master --cov-report=html
What's New in v0.1.2
🎉 Major improvements:
- Comprehensive Testing - 39+ unit tests with mocking
- Configuration System - Flexible JSON-based configuration
- Advanced Error Handling - Retry logic, custom exceptions, helpful messages
- UI Improvements - Color-coded output, processing statistics
- Better Logging - Structured logging with configurable verbosity
See CHANGELOG.md for complete details.
Uninstalling
pip uninstall cite-master
License
This project is licensed under the MIT License. See the LICENSE file for details.
Contributing
Feel free to open issues or submit pull requests. Suggestions and improvements are welcome!
Acknowledgments
- CrossRef API
- BibTeX Format
- Citation styles follow official formatting guidelines.
If you have any suggestion or want to contribute to the project you can reach me out at mehmooulhaq1040@gmail.com
Made ❤️ by [Mehmood Ul Haq]
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cite_master-0.1.2.tar.gz.
File metadata
- Download URL: cite_master-0.1.2.tar.gz
- Upload date:
- Size: 23.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed072030808c084a4113a96908a5b8d425c35543d2fd0221ff46b16fb88e0e72
|
|
| MD5 |
93d9eb8564ee852485262518ef153959
|
|
| BLAKE2b-256 |
9b371dab55e57a99bbca2cab61803af8634961e3577eb98947bc8e006703192f
|
File details
Details for the file cite_master-0.1.2-py3-none-any.whl.
File metadata
- Download URL: cite_master-0.1.2-py3-none-any.whl
- Upload date:
- Size: 24.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
22a59d75c1f37985a93f7599dda426c5db55e06e317042027d462993cb7ef466
|
|
| MD5 |
dffc60217da6edde5b9e17490cc0e2dd
|
|
| BLAKE2b-256 |
491a7864c1de6ee262ea418ad4e204f60a4dd9a87d239f93a41751b82424b5ac
|