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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

  1. Download and install Miniconda from https://www.anaconda.com/download/success
  2. Add the miniconda filepath to your ~/.zhrc, e.g. export PATH="/opt/miniconda3/bin:$PATH"
  3. brew install gdal
  4. git clone https://github.com/ChristopherBradley/DAESIM_preprocess.git
  5. cd DAESIM_preprocess
  6. conda env create -f environment.yml
  7. conda activate DAESIM_preprocess
  8. 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

  1. python3 -m build
  2. twine upload dist/*
  3. Enter the API token
  4. Check it out at https://pypi.org/project/DAESIM-preprocess

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