Vapor 4 backend reference implementation of the COVID-19 contact tracing API.

This project is meant to be usable in combination with TracePrivately, an iOS reference implementation.

• Be compatible with the TracePrivately app
• Log as little as possible about users/devices, only what is needed to prevent abuse

• Support for JSON and MessagePack
• Basic webinterface toSee and reject/approve data input
• Optional authentication support, as privately as possible
• Push message support

Currently, there's no device validation implemented. Using this option will accept any token without validation.

Running is almost as simple as running the Vapor 4 starter app. Open the project in Xcode, set the working directory to be [RepoDirectory]/WorkingDir and run the app. A SQLite file will be created automatically.

Optionally, some configuration can be changed in configure.swift.

To run the app, you can use:

• macOS running Xcode 11 or higher (tested using Xcode 11.4.1), or;
• Ubuntu with Swift and the Vapor toolbox installed, or;
• A dockerized version of the app

• Open the project in Xcode
• Under Edit scheme -> Run -> Arguments, add these two arguments:
• --auto-migrate (To set up the data model on startup)
• serve --hostname 0.0.0.0 --port 8080 (To enable the app to listen for incoming connections)
• Under Edit scheme -> Run -> Options -> Working Directory, point to [RepoDirectory]/WorkingDir
• Without this step, the application will work, but the webppages will not be able to find the leaf templates
• Start the application

• Open the app project
• In KeyServer.plist, change the BaseURL to be:
• http://localhost:8080/api/ for simulators
• http://[your-local-ip]:8080/api/ for real devices
• To allow connecting to localhost without ssl, don't forget to Allow Arbitrary Loads in the Info.plist.
• Run the app

There's are some simple Leaf pages available to see the data results. Simply point your browser to http://localhost:8080/ to see collected results.

Feel free to open issues or pull requests!

This project is licensed under the MIT License

Thanks to HendX for the iOS app!