Ngz Geoviz

Visualization for Northern Growth Zone using Kepler and Django. This repository is open source version of the project and contains only few of the original visualizations by default. Check the live site for all visualizations.

Installation

Install Docker and docker-compose and register at mapbox to get Mapbox access token.

Development mode

Make sure you have Node and Yarn installed.

Start the backend with:

docker-compose -f docker-compose.yml up -d --build

And the frontend with:

export MapboxAccessToken=<your-access-token>
cd ngz_geoviz/frontend
yarn --ignore-engines
npm start

Now the frontend can be accessed from http://localhost:8080 and backend from http://localhost:8000.

If you build the frontend with npm build you can access it trough backend as well: http://localhost:8000/kepler

Using local Kepler.gl

1. Run a build of the custom kepler.gl, such as this fork (branch feature_gispo_customizations)
2. run npm pack. This creates a .tgz zip file of your package with your custom modifications.
3. copy that file into the ngz-geoviz/frontend.
4. in frontend package.json replace the version number kepler to the following "kepler.gl": "file:my-packed-kepler.tgz"
5. Remove frontend/node_modules/kepler.gl
6. Run yarn --ignore-engines using your new package.json

Production

1. Fill your MapboxAccessToken to docker-compose.prod.yml file.

2. Fill the following environmental variables to the .env.prod file (same directory as docker-compose.yml). You can copy the .env.dev to get started. If you want to use AWS S3 for hosting the data, fill in your AWS credentials and set USE_S3 to 1. Database name, password and user could be anything, remember to use your own host instead of localhost if using in other host.

   DEBUG=0
   HTTPS=0
   SECRET_KEY=very-secure-password
   USE_S3=0 
   AWS_ACCESS_KEY_ID=<your-id>
   AWS_SECRET_ACCESS_KEY=<secret-key>
   AWS_STORAGE_BUCKET_NAME=<your-bucket>
   MapboxAccessToken=your_mapbox_token
   DJANGO_ALLOWED_HOSTS=localhost 127.0.0.1 [::1]
   NGZ_BASE_URL=http://localhost:8000
   DJANGO_CORS_WHITELIST=http://localhost:8080 http://localhost:8081
   
   SQL_DATABASE=ngz_dev
   SQL_USER=ngz_dev_user
   SQL_PASSWORD=dev_pwd
   SQL_HOST=db
   SQL_PORT=5432
   DATABASE=postgres
   
   DJANGO_SUPERUSER_USERNAME=admin
   DJANGO_SUPERUSER_PASSWORD=very-secure-password
   [email protected]

3. And following environmental variables to the .env.prod.db file (same directory as docker-compose.yml). Remember to use same values as in the .env.prod file.

   POSTGRES_USER=ngz_admin_user
   POSTGRES_PASS=password
   POSTGRES_DB=ngz_prod

4. Spin up the app in production mode:

   docker-compose -f docker-compose.prod.yml up -d --build

Nginx should now be listening on port 80.

Https configuration

Easiest way is to have the certificates on the host and add them as volumes to the host.

• Follow the Certbot instructions to get the certificates
• Uncomment the line - /etc/letsencrypt:/etc/letsencrypt in docker-compose.prod.yml
• Modify .env.prod to contain right host in NGZ_BASE_URL and DJANGO_CORS_WHITELIST (DJANGO_CORS_WHITELIST=https://your.url.com http://localhost:8080 http://localhost:8000)
• Set HTTPS=1 in .env.prod
• Edit all occurences of server_name in ngz-geoviz/nginx/nginx_https.conf to match your site
• Replace ngz-geoviz/nginx/nginx.conf with ngz-geoviz/nginx/nginx_https.conf, and run:

docker-compose -f docker-compose.prod.yml down
docker-compose -f docker-compose.prod.yml up -d --build

Nginx should now be listening on port 443.

Adding and editing visualizations

You can add more visualizations at http://localhost:8000/admin/. Take a look at example fixture to get general idea about logic behind more complex cases.

Here are simple steps to add simple visualization:

1. Create visualization ad Kepler.gl
2. Click export map and download it as json file
3. Go to http://localhost:8000/admin/datahub/map/add/ and fill in the information:
   • id - your own id for your visualization
   • Image - screenshot of the visualization
   • Config - the json file you downloaded from kepler.gl
   • Details just add something to the details
4. The new visualization should be accessable from http://localhost:8080/

Licenses

Digitraffic

The Traffic Management Finland / digitraffic.fi, is licensed under the Creative Commons Attribution 4.0 International license. The application downloads the data in real time using its Websocket interfaces.

Paavo - Open data by postal code area

Postal code area boundaries, Statistics Finland The material was downloaded from Statistics Finland's interface service on 20 February 2020 with the license CC BY 4.0.