Deployment Manual

COMP0016 2022-23 Team5

Introduction

This deployment manual provides step-by-step instructions for deploying our application. It assumes that you have already completed the necessary preparations, such as setting up the networks and installing required softwares.

System Requirements

To deploy the web application, you will need the following:

• Git
• Anaconda / Miniconda / Python version 3.10 or higher
• Access to the command line interface (CLI)

Deployment Steps

Step 1: Clone the repositories in sequence in preferred directory

Clone data-downloader

git clone https://github.com/COMP0016-IFRC-Team5/data-downloader.git

Clone data-processor

git clone https://github.com/COMP0016-IFRC-Team5/data-processor.git

Clone data-visualiser

git clone https://github.com/COMP0016-IFRC-Team5/data-visualiser

Step 2: Create conda environment

data-downloader:

cd data-downloader

conda env create -f conda_env.yml

cd ..

data-processor:

cd data-processor

conda env create -f conda_env.yml

cd ..

data-visualiser:

cd data-visualiser

conda env create -f conda_env.yml

cd ..

After these steps, it should create three conda environments: data-downloader, data-processor, data-visualiser.

Troubleshooting

If you encounter any issues during the deployment process, here are a few troubleshooting tips:

• Make sure you have read and write permissions for the directory
• Check you have the access to the Internet

Uninstall

If you want to uninstall the application, you need to do the following steps:

Step 1: Remove conda environments

conda remove -n data-downloader -all
conda remove -n data-processor -all
conda remove -n data-visualiser -all

Step 2: Delete cloned repositories

rm -rf data-downloader
rm -rf data-processor
rm -rf data-visualiser

Contact Information

If you need technical support or have any questions about deploying the application, please contact our team at dekun.zhang.20@ucl.ac.uk.