A package for sifting meteorological data to look for and analyze vortex encounters
Project Sponsor: Brian Jackson, Associate Professor of Physics at Boise State University
Spring 2023 - Team Martians, Boise State Computer Science
Fall 2022 - Team Dust Devils, Boise State Computer Science
Filename | Description |
---|---|
HtmlPage/ | Fall 2022 project website. (Fall 2022) |
docs/ | GitHub page. (Spring 2023) |
muldoon-webapp/ | Front-end web application for visualizing Mars 2020 MEDA data. |
muldoon/ | MEDA data analysis utility and API. |
nginx/ | Docker/Podman configuration files. |
tests/ | Test suite for analysis util. |
BSUREADME.md | |
CONTRIBUTORS | List of contributors. |
LICENSE | MIT license. |
README.md | This file. |
build.sh | Build script for analysis util. |
clean.sh | Clean script for analysis util. |
dependencies.sh | Dependencies script for analysis util. |
docker-compose.yml | Docker/Podman yaml file for creating a muldoon-webapp container. |
requirements.txt | Configuration file for analysis util; setup.py process. |
setup.py | Python setup script for analysis util. |
test.sh | Test script for analysis util. |
Starting from the base project directory, execute the following commands within a terminal window. (If using Visual Studio Code, Ctrl + ` opens a terminal window.)
$> cd muldoon-webapp
$> npm install
From the muldoon-webapp directory, execute the following command within a terminal window. (If using Visual Studio Code, Ctrl + ` opens a terminal window.)
$> npm run compile:sass
From the base project directory, execute the following command within a terminal window.
$> podman-compose -f ./docker-compose.yml up -d
Once the command has successfully completed with exit code: 0, the muldoon-webapp should be accissbile at http://localhost:8100 on the localhost.
To run the testing that has been built for the muldoon-webapp you will need to run the following command on the terminal.
$> pytest tests/