Galileo

Galileo is a stack of technologies designed for uploading and displaying map data using decentralized storage. It aims to offer a secure, efficient, and flexible way to handle geographical information.

Technical Details

Storage

Map tiles of specific countries are uploaded to Swarm using FairOS-dfs or FDP Storage.

Indexing

The uploaded map tiles are indexed in such a way that they can be easily accessed and displayed either via a web interface or a user's local node.

UI

The User Interface for displaying these maps is written using React.

Features

Decentralized: By using Swarm and FairOS-dfs, Galileo ensures that the data is stored in a decentralized manner.
Public Sharing: Maps can be shared publicly, allowing for collaborative use and updating.
Selective Display: Despite the global scale of the map data, users can choose to display only specific countries or cities.
Trusted Providers: Users can combine sets of tiles from trusted providers to create comprehensive maps that cover the entire world.

Why Galileo?

The reason for using map data from trusted providers is to display geographical information in a manner that is mutually acceptable for both the user and the sharing party.

How to create and share your own map?

Prerequisites:

access to a fairos-dfs server endpoint
account on https://developers.nextzen.org/
python3
nodejs

You can run your own fairos-dfs endpoint, but setting this up is outside of the scope of this readme. Alternativaly, join the Fair Data Society Discord and use the #liberate-data-directory channel to gain more information, support and apply for access to fairos-dfs server endpoints.

You can find information on how to install nodejs in https://github.com/nodesource/distributions/blob/master/README.md

The process to create and share a map:

Download GeoJSON files of specific region with script: https://gist.github.com/IgorShadurin/afdc91d2f21cc8154e24da02d1805813.

Find YOUR_ACCESS_TOKEN and replace with your key from https://developers.nextzen.org/keys. Start downloading process by running python3 osm_tiles_downloader.py 46.06902628310932 14.507817723324576.

The last two parameters are coordinates of the region you want to download.
Copy /scripts/example.env to /scripts/.env
Edit the .env file to define parameters:
1. FAIROS_URL - FairOS API url, for example http://localhost:9090/v1/ or https://fairos-mainnet.fairdatasociety.org/v1/ for a FairOS mainnet endpoint.
2. FAIROS_USERNAME - FairOS username. If users doesn't exist - it will be created.
3. FAIROS_PASSWORD - FairOS password for user.
4. FAIROS_POD - pod name. Exists or not. If you want to share the map, then use a name that should be unique.
5. FAIROS_MAP_KV - key-value name of the stored map data.
6. MAP_PATH - full path to folder with tile files which downloaded above.
Go to scripts folder, run cd scripts, run npm i or yarn.
Run upload script node upload-map-kv.js. Important notice: each map should be uploaded into a separate pod. This is necessary for the convenient compilation of the register of maps.

Note that sometimes you need to pause a process to continue later. To continue uploading you can use the command node upload-map-kv.js retry 78, where 78 is number of position where you want to proceed. Uploading ~ 700 megabytes might take about 7 hours.
Wait for the script to upload all data and return Map reference (a hash). You can share you map reference with the community.

Join the Fair Data Society Discord and use the #liberate-data-directory channel to share your map reference, add it to the Liberate Data Directory and have it displayed on Galileo maps.