qleoz12 / parcel-visualization-web-app

Visualisation tool for parcel delivery algorithm

Frontend

Requirements

• nodejs
• npm
• yarn

Install

cd frontend
yarn install

Run

yarn serve

Backend

Requirements

• Python 3.6+
• Virtualenv
• Pip

Install

conda config --prepend channels conda-forge
conda create -n cenv --strict-channel-priority osmnx

### Activate the environment ###

pip install -r requirements.txt

Run backend application

python application/main.py

Run backend tests

pytest

Docker

cd to the root of this project.

Docker build . 

To easily find your image you could tag your Docker image:

Docker build . -t almende/visualisation

After the image is built, you can run a container by doing:

Docker run -p 8080:80 <tag>

is either the tag you specified, or a random UID created by Docker if you did not specify a tag yourself.