Harvesting environmental forcing data for running the Dynamic Agro-Ecosystem Simulator (DAESIM)
Project description
DAESIM_preprocess
Harvesting environmental forcing data for running the Dynamic Agro-Ecosystem Simulator (DAESIM)
Setup locally
- Download and install Miniconda from https://www.anaconda.com/download/success
- Add the miniconda filepath to your ~/.zhrc, e.g. export PATH="/opt/miniconda3/bin:$PATH"
- brew install gdal
- git clone https://github.com/ChristopherBradley/DAESIM_preprocess.git
- cd DAESIM_preprocess
- conda env create -f environment.yml
- conda activate DAESIM_preprocess
- pytest
- If in future there is an issue with dependency conflicts, then try creating a new python environment in 3.11 and using the requirements.txt which has fixed versions (instead of just using the latest version with pyproject.toml).
- conda create --name DAESIM_preprocess_3.11 python=3.11
- conda activate DAESIM_preprocess_3.11
- pip install -r requirements.txt
Uploading to pypi
- python3 -m build
- twine upload dist/*
- Enter the API token
- Check it out at https://pypi.org/project/DAESIM-preprocess
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