mlouward / Lyon-Velov-RDF

Live data about Lyon bicycle-sharing system using RDF and web semantic

Lyon Vélo'V Real-time data

TODO:

• Add a docker image to do the setup programatically

  • Not possible with stains/jena-fuseki docker image (needs authentication with random password else can't update dataset)

• Change Flask to debug False

Instructions

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1. Launch a Fuseki server with a dataset called ds

Default port should be 3030: .\fuseki-server.bat --update --mem /ds

2. Install python libraries

pip install -r requirements.txt

3. Load static data into the triplestore

Run python jsontordf.py in folder ./load_graph

4. Launch the Python server in folder ./server_flask

python server.py

5. Go to localhost:5000

You can see the list of bike stations and their information, as well as the current weather Clicking on a station on the map will show:

• Station location on the map
• Station Name
• Station Address
• Number of available bikes
• Number of parking spots
• Time of last update

The information is updated when refreshing the page