Gregory Halverson, Jet Propulsion Laboratory, gregory.h.halverson@jpl.nasa.gov
Mony Sea, California State University Northridge
Holland Hatch, Chapman University
Annalise Jensen, Chapman University
Zoe von Allmen, Chapman University
This repository contains the code for the ET Toolbox 7-day hindcast and 7-day forecast data production system.
Copyright 2022, by the California Institute of Technology. ALL RIGHTS RESERVED. United States Government Sponsorship acknowledged. Any commercial use must be negotiated with the Office of Technology Transfer at the California Institute of Technology.
This software may be subject to U.S. export control laws. By accepting this software, the user agrees to comply with all applicable U.S. export laws and regulations. User has the responsibility to obtain export licenses, or other export authority as may be required before exporting such information to foreign countries or providing access to foreign persons.
This system was designed to work in a Linux-like environment and macOS using a conda environment.
condaThe Water Rights Visualizer is designed to run in a Python 3 conda environment using Miniconda To use this environment, download and install Miniconda. Make sure that your shell has been initialized for conda.
You should see the base environment name (base) when running a shell with conda active.
These are the instructions for setting up an Amazon Linux 2023 EC2 instance from scratch.
Install make:
sudo yum update
sudo yum install -y makeRun the setup-amazon-linux make target to install the git, mamba, and docker tools:
make setup-amazon-linuxExit your shell and log back in. There should now be (base) in the prompt.
Add an SSH key to GitHub https://docs.github.com/en/authentication/connecting-to-github-with-ssh/checking-for-existing-ssh-keys
Clone the Water-Rights-Visualizer repository:
git clone git@github.com:New-Mexico-Water-Resources/Water-Rights-Visualizer.gitEnter the repository directory:
cd Water-Rights-VisualizerInsert google_drive_key.txt and client_secrets.json into Water-Rights-Visualizer/water_rights_visualizer.
Use make install to produce the water_rights environment:
(base) $ make installThis should produce a conda environment called water_rights in your Miniconda installation.
To use the pipeline, you must activate the water_rights environment:
(base) $ conda activate water_rightsYou should see the environment name (water_rights) in parentheses prepended to the command line prompt.
To launch the Water Rights Visualizer GUI, run the water_rights_gui.py script:
(water_rights) $ python water_rights_gui_tk.pyWhen you are done using the pipeline, you can deactivate the water_rights environment:
(water_rights) $ conda deactivate water_rightsYou should see the environment name on the command line prompt change to (base).
To update your installation of the water_rights environment, rebuild with this command:
(base) $ make reinstall-hard(base) $ make remove