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• 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

1. Launch a Fuseki server with a dataset calledds

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

Runpython jsontordf.py in folder ./load_graph

4. Launch the Python server in folder ./server_flask

python server.py

5. Go tolocalhost:5000

You can see the list of bike stations and their information, as well as the current weatherClicking 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