Berry Street Family Finder

Getting Started

  git clone https://github.com/RHoKAustralia/berry-street.git

If you are on windows, make sure you are using UNIX line endings as most of the tools will inside a linux docker container.

Basic setup instructions

The quickest way to get the application up and running on your local machine is using Docker

Once you have Docker installed,

• Go to the root directory of the project and run

  $ docker-compose build

  this will create all the containers for the application.

  Note. This is going to take a while to complete. The good news is it's only when done for the first time.

• Now that everything is installed, run

  $ docker-compose up

• Go to

  http://localhost

  Note this is different from what the terminal states http://127.0.0.1:80 will not work only localhost will.

To stop the application, just hit Ctrl+C

Back End Development / Testing

You will need to have Java 8 installed on your system and also groovy and gradle. SDKMAN! is a good option to install the latter two.

• In a terminal, run

  $ docker-compose up neo4j

  This will start the neo4j container.

• In another terminal you can run

  $ cd api
  api$ ./gradlew bootRun

  to start up the backend api; And then, you can test it through its swagger interface or using any other REST Client, like Postman

If you want to use an IDE like IntelliJ Idea (this is the preferred one) or Eclipse, you can generate the appropriate project files by running

api$ ./gradlew idea
api$ ./gradlew eclipse

and then import the project in the IDE

Front End Development / Testing

• In a terminal, run

  $ docker-compose up api

  This will start the backend api and neo4j containers.

• In a second terminal

  $ cd frontend
  frontend$ npm install
  frontend$ npm run dev

• Go to

  http://localhost:8081

For a supercharged frontend dev experience, make sure you have these Chrome extensions installed:

• React Developer Tools
• Redux dev tools

Populating the Database with Sample Data

• Visit the Neo4j interface http://localhost:7474/
• Copy the script from /api/src/main/resources/data.cql (ignoring line 1) paste into the console
• Click the 'Play' button to run

Neo4J documentation

There are some helpful examples to help understand the way that Neo4J interfaces with the API code in the Neo4J tutorial

Open tasks

• Enable CORS globally: https://spring.io/guides/gs/rest-service-cors#_global_cors_configuration
• Change components to use ES6 classes
• Change components to use stylesheets (one per component i.e {Component.css}) and BEM for styles i.e. {Component}-{element}-{modifier}
• Start convention for naming of events:
  • FETCH_OBJ - dispatch to make the api request
  • FETCH_OBJ_SUCCESS - dispatch when a successful response is returned from the api request
  • FETCH_OBJ_FAILURE - dispatch when a failed response is returned from the api request
  • RESET_OBJ - dispatch to reset components state. This is optional
• Apply these conventions to current Case List, People, Create Case and Create Person
• Introduce redux into new case relationship screen
• Develop functionality for case relationship screen to load details into the right panel when a relationship is selected
• Upgrade frontend to use create-react-app and latest Node
• Make it easy to run frontend in docker with live reload and update wiki on how to do this
• Fix issue with backend where gradle is downloading libraries/packages when backend code is changed
• Fix issue with frontend yarn install (This may be fixed by the upgrading above)
• Fix issue with docker-compose up which appears to be rebuilding and re-downloading

Troubleshooting

Windows 7: If you see this

  ←[91m/bin/sh: 1: ./gradlew: Permission denied
  ←[0m←[31mERROR←[0m: Service 'api' failed to build: The command '/bin/sh -c ./gradlew build jar' returned a non-zero code: 126

then you can try running the api on its own, and using docker to run everything else:

1. Edit docker-compose.yml to comment-out (#) the api section, and the link to it in frontend/links.
2. Rerun docker-compose build then docker-compose up as below.
3. Open a command prompt at \api. Run gradlew bootRun to start the api