Server

Development Servers

There are two implementations of the Fluid Service we use for development, and they are closely related: Routerlicious (aka r11s) is the official reference implementation which can be deployed via Docker, and Tinylicious is a compact incarnation of the same code for running locally, only handling requests from the local machine.

Requirements

The only pre-requisites for building and running Tinylicious is:

• Node v12.x
  • We recommend using nvm (for Windows or

In order to install, build and run Routerlicious locally, you additionally need:

• Python etc, following these instructions
• Docker Desktop

Tinylicious should work "out of the box" with only Node.

Using a Local Tinylicious Server

Installing & Running a Local Tinylicious Server

1. Navigate to the ./server/tinylicious directory and install the package globally.

npm i -g

2. If the build succeeds, start the tinylicious server

tinylicious

You should see the following output that says that the server is running on port 3000

3. Now, we can run components against this server. We will use Clicker as an example. Navigate to the Clicker directory and start the component using the start:tinylicious command

cd ./components/examples/clicker
npm run start:tinylicious

This command is running the following script for reference

webpack-dev-server --config webpack.config.js --package package.json --env.mode tinylicious

4. Now navigate to http://localhost:8080 to see Clicker running on tinylicious

NOTE: tinylicious stores persisted data on your filesystem at /var/lib/tinylicious. On Windows, this will be C:/var/lib/tinylicious. If you want to clear everything and start fresh, then shut down tinylicious and delete that folder. The next time you start tinylicious everything should be as new.

Building & Running a Local Tinylicious Server

1. Navigate to the ./server/tinylicious directory and build it.

npm i
npm run build

2. If the build succeeds, start the tinylicious server

npm start

3. Now, we can run components against this server. We will use Clicker as an example. Navigate to the Clicker directory and start the component using the start:tinylicious command

cd ./components/examples/clicker
npm run start:tinylicious

This command is running the following script for reference

webpack-dev-server --config webpack.config.js --package package.json --env.mode tinylicious

4. Now navigate to http://localhost:8080 to see Clicker running on tinylicious

NOTE: tinylicious stores persisted data on your filesystem at /var/lib/tinylicious. On Windows, this will be C:/var/lib/tinylicious. If you want to clear everything and start fresh, then shut down tinylicious and delete that folder. The next time you start tinylicious everything should be as new.

Running a Routerlicious Server

This is the same server as https://www.wu2.prague.office-int.com/ (and other instances). This includes the server backend (the Fluid ordering service, etc.) and the web front-end gateway This will download and build the image that is deployed, and run it locally.

1. Go to Docker settings and allocate at least 4 cores and 4GB Memory.

2. Navigate to the repo root. And run npm run start:docker (No need to build)

3. If this succeeds, you can open your browser (preferably Chrome or new Microsoft Edge for ease of debugging) and navigate to http://localhost:3000 and test a component against it

Using a Local Routerlicious Server For Testing

1. Start the docker routerlicious server (see instructions above)

2. Navigate to the component directory (i.e. Clicker) from the root and run the following

cd components/examples/clicker 
npm run start:docker

3. Navigate to http://localhost:8080 and the component should be running against the local Docker routerlicious server

Using a Deployed Routerlicious Server For Testing

1. Navigate to the component directory (i.e. Clicker) from the root and run the following

cd components/examples/clicker 
npm run start:r11s

2. Navigate to http://localhost:8080 and the component should be running against the deployed routerlicious server