Set up client and server's Redis instances

CONTRIBUTING.md

@@ -42,6 +42,12 @@ Then install the project dependencies:
 yarn
 ```
 
+Install Redis by following [these instructions](README.md#pulling-redis-docker).
+
+Then, run the server and client's Redis instance by following
+[these instructions](README.md#start-servers-redis-instance) and
+[these instructions](README.md#start-clients-redis-instance) respectively.
+
 ## Coding guidelines
 
 For code style, we recommend the [PEP 8 style guide](https://peps.python.org/pep-0008/).

README.md

@@ -21,6 +21,8 @@ pip install --upgrade pip poetry
 poetry install
 ```
 
+### Install Yarn
+
 We use [Yarn](https://yarnpkg.com/) to manage front-end dependencies. Install it on MacOS
 using [Homebrew](https://brew.sh/):
 
@@ -33,7 +35,33 @@ Then install the project dependencies:
 yarn
 ```
 
-### Running the server
+### Pulling Redis' Docker
+
+Redis is used to fetch the metrics reported by servers and clients during their runs.
+
+
+If you don't have Docker installed, follow [these instructions](https://docs.docker.com/desktop/)
+to install it. Then, pull [Redis' official docker image](https://hub.docker.com/_/redis)
+(we currently use version 7.2.4):
+```shell
+docker pull redis:7.2.4
+```
+
+## Running the server
+
+### Start server's Redis instance
+
+If it's your first time running it, create a container and run it with the command below:
+```shell
+docker run --name redis-florist-server -d -p 6379:6379 redis:7.2.4 redis-server --save 60 1 --loglevel warning
+```
+
+From the second time on, you can just start it:
+```shell
+docker start redis-florist-server
+```
+
+### Start back-end and front-end servers
 
 Use Yarn to run both the back-end and front-end on server mode:
 
@@ -44,7 +72,21 @@ yarn dev
 The front-end will be available at `http://localhost:3000`. If you want to access
 back-end APIs individually, they will be available at `https://localhost:8000`.
 
-### Running the client
+## Running the client
+
+### Start client's Redis instance
+
+If it's your first time running it, create a container and run it with the command below:
+```shell
+docker run --name redis-florist-client -d -p 6380:6379 redis:7.2.4 redis-server --save 60 1 --loglevel warning
+```
+
+From the second time on, you can just start it:
+```shell
+docker start redis-florist-client
+```
+
+### Start back-end and front-end servers
 
 To start the client back-end service:
 

pyproject.toml

@@ -20,6 +20,7 @@ uvicorn = {version = "^0.23.2", extras = ["standard"]}
 fl4health = "^0.1.11"
 wandb = "^0.16.3"
 torchvision = "0.14.1"
+redis = "^5.0.1"
 
 [tool.poetry.group.test]
 optional = true