Skip to content
This repository has been archived by the owner on Jan 21, 2021. It is now read-only.

Latest commit

 

History

History
125 lines (84 loc) · 5.67 KB

README.md

File metadata and controls

125 lines (84 loc) · 5.67 KB
Raw

Helseinnsikt

Pasientdata er kildekoden fra sommerstudentprosjektet 2019. Prosjektet vedlikeholdes ikke, og er ikke ment for bruk med reelle personopplysninger.

About the project

This is a project done by 5 summer interns, who will find and create a solution for finding and collecting data from devices that patients use. They will do user tests as well as develop a webapp for visualising and storing data with the FHIR standard.

Demo

** Disclaimer: we do not reccomend logging in with your own Google account if you do not want to share information about your steps, physical activity minutes and weight.

Link: http://helseinnsikt.surge.sh/

How to run

Before running the program, take a look at setup

Run using npm:

npm start

How to deploy

Standing in the /src/citizenapp folder, execute the following command:

npm run-script build

Then install surge:

npm i --global surge

Run surge:

surge

Then make a surge user through the terminal by following the instructions given there.

You are then asked to specify the path to the build folder of the project, and then give a name to the .surge.sh URL of the web page.

Once this is done the web page should be deployed!

Setup

Start by setting up your editors for the source/backend and the web/frontend, we recommend using Visual Studio for the backend and Visual Studio Code for the frontend. Both programs can be downloaded here:

When you have completed you can clone our repo and follow the setup for backend and then frontend

Backend setup:

The backend is now running on a server, but we also have a local version. If you want to run it locally, follow the steps below.

  • Download and install the .NET core sdk 2.2 from their website: https://dotnet.microsoft.com/download
  • Open a terminal in src/fhirserver folder, and start the FHIR server with command dotnet run
  • Check that the Spark FHIR Server is running, by opening https:\\localhost:5001 in your browser
  • Now the backend is setup and you can move to the next section.

*If you want to run the server locally, you need to change the useLocalServer variable to "true" in the file called fhirUrl.js.

Frontend setup:

To install the packages and run the application you need to install nodeJS, which can be downloaded from: https://nodejs.org/en/ (Install NodeJS before continuing).

  • Before installing the packages, you need to get your key from e-helse so that you can get the styling components from them, which will be installed when you use npm install.
    • This key should be placed in a file called ".npmrc" and the file should be placed right under your "user" folder.
        C:\Users\"username"
    • If these components are not needed you need to go through the code and remove them as well as remove it from the node_modules folder on you local computer.
  • When the key is placed in the right location, you can use the command below

How to install packages:

npm install

*if missing packages, install the package manually with:

npm install --save "name_of_package"

Now you can run the program as shown above

Google credentials setup:

To access google data you will need to log into: concole.developers.google.com

How to set up credentials:

  • Select a project -> new project
    • set project name (let location be default: No organization) -> create
  • Select your new project
    • Click "APIs & Services" on the left
    • Click on "Credentials" on the left
      • Click on "OAuth consent screen" from the tabs
        • Fill in application name
        • Click "add scope" and add the APIs needed (our case: activity.read, body.read and nutrition.read. You will need to add one at the time.)
        • Click save
      • Click the "Credentials" from the tabs
        • Click "Create credentials", then "Oauth client ID"
        • Choose "Web application"
        • Give it a name
        • Add "Authorized JavaScript origins" (http://localhost:3000, if you are still in development environment)
        • Add "Authorized redirect URIs" (also http://localhost:3000 if you have a single page app)
  • Copy your clientID and paste it over the clientID in the "googleFit.js" file under the api folder.