alanube 1.0.1

Python library to connect with Alanube API

Alanube Python API

A lightweight Python client for connecting to the Alanube e-invoicing API across multiple countries.

📚 Table of Contents

• Installation
• Usage
• Contents
• Developers
• Testing
• Build & Publish
• Credits
• License
• Contribute

Instalation

To install the Alanube library, you can use pip:

pip install alanube

Usage

# Import the Alanube class specific to the country,
# in this case from `alanube.do` for the Dominican Republic
from alanube.do import Alanube

# Connect to the API
Alanube.connect("[TOKEN]")

payload = {...}

data = Alanube.send_document(encf_type=31, payload)

Now you can easily and efficiently use the Alanube API with this Python library!

Contents

• do: Fully implemented for the Dominican Republic (DGII).
• pa, cr, pe, bo: Planned support. Follow the structure of the do module.

For the missing countries, you can use the do directory as a reference to build the required implementations, adapting the logic to meet the specific local requirements of each country.

Links

• Alanube Official Website
• Alanube Documentation

Roadmap

• 🇩🇴 Dominican Republic
• 🇵🇦 Panama
• 🇨🇷 Costa Rica
• 🇵🇪 Peru
• 🇧🇴 Bolivia

Developers

If you're contributing to the development of this library, here are the steps to set up your environment and run the tests:

Setting Up the Environment

1. Clone the repository:

   git clone https://github.com/wilmerm/alanube-python.git
   cd alanube-python
   

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install the required dependencies:

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

4. Install the library in editable mode:

   pip install -e .
   

5. Code Style. We follow PEP 8 for coding standards. Please ensure your code is formatted accordingly before submitting a pull request.

   flake8 alanube
   

Running the Tests

1. Navigate to the project root directory.

2. Execute the tests with unittest:

   python -m unittest discover -s alanube/tests -p "*.py"
   

   • -s: Specifies the directory to look for tests (tests folder).
   • -p: Defines the pattern for test file names (e.g., *.py).

Building and Publishing the Library

To compile and upload the library to PyPI, follow these steps:

1. Ensure you have the necessary dependencies:

   pip install build twine
   

2. Build the package:

   python -m build
   

3. (Optional) Verify the package:

   twine check dist/*
   

4. Upload the package to PyPI:

   python -m twine upload dist/*
   

Credits

Wilmer Martinez Author & Maintainer

Oriku Precious Documentation Contributor

If you contributed to this project and would like to be listed here, feel free to open a pull request adding yourself to the credits section.

Licence

This project is licensed under the MIT License.

Proyect Status

✅ This project is in production and actively maintained.

Contributing

We welcome pull requests and suggestions. Please open an issue or submit a PR.

Support 💗

If you find this useful, consider supporting.

Your generosity helps us to continue improving and maintaining this project. We appreciate every contribution, however small. Thanks for being part of our community!