Allagash

A spatial optimization library for covering problems. Full documentation is available here

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Installing with conda

To install with geopandas run:

conda install -c conda-forge allagash geopandas

To install with arcgis run:

conda install -c conda-forge -c esri allagash arcgis

To install without a spatial library run:

conda install -c conda-forge allagash

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Installing with pip

To install with geopandas run:

pip install allagash[geopandas]

To install with arcgis run:

pip install allagash[arcgis]

To install without a spatial library run:

pip install allagash

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Running Locally

1. Clone the repo git clone [email protected]:apulverizer/allagash.git
2. Create the conda environment conda env create --file environment.yml
3. Activate the new environment conda activate allagash
4. Install pre-commit hooks pre-commit install
5. Install allagash locally pip install -e . --no-deps
6. Launch jupyter notebook jupyter notebook

You should now be able to run the example notebooks.

You can choose to install and use another solver that is supported by Pulp:

• GLPK (included in conda environment)
• COIN-OR CBC
• CPLEX
• Gurobi

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Running Tests Locally

1. Run tests pytest --nbval

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Building Documentation

1. From the repo directory run sphinx-build -b html ./src-doc ./docs -a

This will deploy html documentation to the docs folder.

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Running with Docker

You can build the local docker image that includes Allagash, Python, Jupyter, GLPK, and COIN-OR CBC.

1. Builder the docker image docker build . -t apulverizer/allagash:latest
2. Launch Jupyter notebook docker run -i -t --user=allagash -p 8888:8888 apulverizer/allagash:latest /bin/bash -c "jupyter notebook --ip='*' --port=8888 --no-browser"

You should now be able to run the example notebooks.

You can test the notebooks as well by running docker run --user=allagash apulverizer/allagash:latest /bin/bash -c "py.test --nbval"

If you'd like to mount a directory of local data/files into the container, you can add -v <your-local-dir>:/home/allagash/<dir-name> when running docker run

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Running Tests with Docker

You can build a docker container that will run the tests (mounted into the container)

1. docker build . --file build.Dockerfile --tag apulverizer/allagash:build
2. docker run --user=allagash -v $PWD/tests:/home/allagash/tests -v $PWD/src-doc:/home/allagash/src-doc apulverizer/allagash:build /bin/bash -c "py.test --nbval"