Rangekeeper 0.8.4

A Python library assisting financial modelling in real estate asset & development planning, decision-making, cashflow forecasting, and scenario analysis.

Rangekeeper Source

This directory holds the source code for the Rangekeeper Library

Installation

The library is offered through PyPI, and so its installation in other projects can be performed by: pip install rangekeeper, poetry add rangekeeper, or uv add rangekeeper, depending on your virtual environment manager.

Development

If you wish to contribute to its development, it is recommended to use uv for environment and dependency management:

Environment Setup

1. Install uv, if you haven't yet: https://docs.astral.sh/uv/
2. Clone this repo.
3. Create a virtual environment: uv venv .venv
4. Activate the virtual environment: source .venv/bin/activate
5. Install dependencies: uv pip install -r <(uv pip compile pyproject.toml)
6. Some tests require API access to Speckle. It is recommended to use Python-Dotenv, and add a .env file in the project's root directory with your SPECKLE_TOKEN environment variable.

Publishing

1. First, remove any previously built packages: rm -rf dist/
2. Build the package: uv build
3. Then, publish it to PyPI with your UV_PUBLISH_TOKEN recorded in the .env file: export $(grep -v '^#' .env | xargs) && uv publish --token $UV_PUBLISH_TOKEN