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Noi App backend old version - plese go to noiapp-backend

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NoiApp-Backend

License: MPL 2.0 Java CI with Maven

Dev Environment

Quickly up and running?

docker-compose -f app-dev.yml up

From another terminal:

curl -k https://localhost/v1
Hello from DP3T WS

read further documentation for details.

Discussion and chat

While daily chat is on slack, the discussion on core topics like architecture is on google groups.

Slack: Slack

Google: Google groups

This is a fork of https://github.com/DP-3T/dp3t-sdk-backend.git for the NoiApp

DP3T

The Decentralised Privacy-Preserving Proximity Tracing (DP-3T) project is an open protocol for COVID-19 proximity tracing using Bluetooth Low Energy functionality on mobile devices that ensures personal data and computation stays entirely on an individual's phone. It was produced by a core team of over 25 scientists and academic researchers from across Europe. It has also been scrutinized and improved by the wider community.

DP-3T is a free-standing effort started at EPFL and ETHZ that produced this protocol and that is implementing it in an open-sourced app and server.

Introduction

This is the first implementation of the DP-3T "low bandwidth" protocol. The current implementation does not use the as yet unreleased "Contact Tracing" API of Apple/Google--and has limitations as a result. Our "hybrid approach" uses Bluetooth Low Energy (BLE) to exchange EphIDs. It uses advertisements whenever possible and falls back to GATT Server connections if not possible to transmit/collect an EphID this way (e.g., on iOS devices when the app is in background). This approach can result in higher energy consumption and scalability issues and will be replaced by the Apple/Google API.

Our immediate roadmap is: to support the Apple/Google wire protocol, to be forward-compatible, and to support the actual Apple/Google API as soon as it is released to iOS and Android devices.

Repositories

Work in Progress

The DP3T-Backend-SDK contains alpha-quality code only and is not yet complete. It has not yet been reviewed or audited for security and compatibility. We are both continuing the development and have started a security review. This project is truly open-source and we welcome any feedback on the code regarding both the implementation and security aspects. This repository contains the open prototype SDK, so please focus your feedback for this repository on implementation issues.

Further Documentation

The full set of documents for DP3T is at https://github.com/DP-3T/documents. Please refer to the technical documents and whitepapers for a description of the implementation.

Architecture

A central discovery service is hosted on Github. This server provides the necessary information for the SDK to initialize itself. After the SDK loads the base url for its own backend, it will load the infected list from there, as well as post if a user is infected. This will also allow apps to fetch lists from other backend systems participating in this scheme and can handle roaming of users.

The SDK-Backend provides an interface to publish exposed keys and get a list of exposed keys.

Note that the requests on the image are not the actual endpoints in the reference implementation. They differ in the picture to show the possible separation of the two requests. For the actual enpoint paths refer to the backend documentation further down (e.g. PDF or OpenAPI).

General

This repository contains a backend implementation (webservice) written with Spring Boot, that implements the specification of the Decentralized Privacy-Preserving Proximity Tracing system.

Dependencies

Database

For development purposes an hsqldb can be used to run the webservice locally. For production systems we recommend connecting to a PostgreSQL dabatase (cluster if possible). The simple database schema is described in the following diagram:

API

The backend API specification is documented here:

Build

To build you need to install Maven.

cd dpppt-backend-sdk
mvn install

Run

java -Dspring.profiles.active=dev -jar dpppt-backend-sdk-ws/target/dpppt-backend-sdk-ws-*.jar

Dockerfiles

The dockerfile includes a base jdk image to run the jar. To actually build the docker container, you need to place the generated jar in the bin folder.

cd ..
cp dpppt-backend-sdk/dpppt-backend-sdk-ws/target/dpppt-backend-sdk-ws-1.0.0-SNAPSHOT.jar ws-sdk/ws/bin/dpppt-backend-sdk-ws-1.0.0.jar
cd ws-sdk && docker build -t noiapp/noiapp-backend:develop .

For development using an in-memory H2 database you can run:

docker run -p 80:8080 -e JAVA_OPTS="-Dspring.profiles.active=dev" noiapp/noiapp-backend:develop

Makefile

You can use the provided makefile to build the backend, build a docker image and generate the documentation.

Without a target the makefile will generate everything except the docker image.

make

To build the docker image run

make docker-build

Test hello messge

curl -XGET http://localhost/v1

License

This project is licensed under the terms of the MPL 2 license. See the LICENSE file.

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