Road Condition Monitoring RCM

Requirements

Debian/Ubuntu

Docker

Installation varies slightly between versions, see

https://docs.docker.com/install/linux/docker-ce/debian/#install-docker-ce

for installation guide.

Installation

The installation of the web app is done by using docker. Currently all the containers are created seperately, this should probably be changed into a single docker-compose file, but that's how it is. For now.

Default

git clone https://github.com/Rovva/D0020E
cd Road-Condition-Monitoring && ./deploy

Data

Data gathered from 2018-03-05 to 2018-03-07 can be imported from sql\table_plus_data.sql

For all

The database import is done under scripts/ the scripts/connection.js connects to the remote SQL database. The host, user, password, and database needs to be entered there for the import to work.

Error

Here are some errors that might happen.

Database pull

If the database extration to elasticsearch fails, then run docker start -a rcm-pull.

Restart Application

docker restart rcm-web

Rebuild Project

Use fast_restart to rebuild after changes.

./fast_restart

Start the Java-backend

The "Java-backend" pulls data from Trafikverkets with the Datex II standard, every 10 minutes. To set a different timespan, simply edit the file start.sh, Java_D0020E/Docker/start.sh on the row where sleep is and set another value. To make the backend pull data every hour, simply edit to "sleep 1h". See this link for more information: https://www.cyberciti.biz/faq/linux-unix-sleep-bash-scripting/

Deploy the backend: sh Java_D0020E/deploy-java

Development

Here are some information about continuing the development of this project.

test/

Tests for checking backend response data for specific filters.

app/client

Source code for the web frontend.

app/server

Source code for the nodejs backend.

Build by Christoffer Rova, Ludvig Isaksson, Christina Källkrans, Robin Rubindal and Anton Tiberg.

This project is based upon

https://github.com/kitzin/Road-Condition-Monitoring