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# CAS4 network
<img src="https://avatars.githubusercontent.com/u/175958109?s=100&v=4" alt="Logo" align="right"/>
This repository refers to the network of the CAS-4 project of this organisation.
The following networking setup is a Kubernetes application which uses KubeEdge
to run some an application on simulated bare nodes.
This represents a orchestration of:
- [`cas-4/backend`](https://github.com/cas-4/backend)
- [`cas-4/frontend`](https://github.com/cas-4/frontend)
## Set up
You can run Kubernetes via Minikube or something else. For this project we
used KinD. If you install KinD do not forget to also install a Load Balancer for
Kubernetes: [Cloud Provider
KinD](https://kind.sigs.k8s.io/docs/user/loadbalancer/) is what we used.
Now, you can proceed to set up some environment variables:
- `JWT_SECRET`: the base64 version of the secret used for JWT tokens.
- `EXPO_ACCESS_TOKEN`: the base64 version of the [Expo](https://expo.dev) access token.
- `UNREALSPEECH_TOKEN`: [Unrealspeech](https://unrealspeech.com/) access token.
- `RUST_LOG`: level of Rust logging (info, debug, ...).
- `VITE_API_URL`: url for the backend API.
Meanwhile the followings are setted up by default.
- `ALLOWED_HOST`: "0.0.0.0:8000"
First of all you must create a new cluster for KinD. We need it for some worker
(let's say 4).
```
$ kind create cluster --config yaml/cluster/kind-cluster-config.yaml
```
You also need to install a component for metrics.
```
$ kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml
```
After that just run the `run.sh` script.
```sh
$ ./run.sh apply
```
After that, you'll be able to see what the external IP for the load balancer is.
```
$ k get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
cas-backend-service LoadBalancer 10.96.107.232 172.18.0.3 80:32697/TCP 18h
cas-frontend-service ClusterIP 10.96.49.130 <none> 80/TCP 18h
postgres-service ClusterIP 10.96.150.101 <none> 5432/TCP 18h
```
For the IP above you can test if it works by a HTTP request.
```
$ curl -X POST http://172.18.0.3/graphql \
-H "Content-Type: application/json" \
-d '{
"query": "mutation Login($input: LoginCredentials!) { login(input: $input) { accessToken tokenType userId } }",
"variables": {
"input": {
"email": "info@cas-4.github",
"password": "mysuperpassword"
}
}
}'
```
If you receive a network error you just need to wait until the
`cloud-provider-kind` works.
## Use Nginx as reverse proxy
We tested this project in production using Nginx as revere proxy. Indeed, at the
endpoint `server_name` an user could access to the frontend project (i.e. admin
cp).
First of all, you need to port-forward the `cas-frontend-service` service.
```
$ kubectl port-forward svc/cas-frontend-service 8080:80 &
```
After that you have to configure Nginx server.
```
server {
listen 80;
server_name my-cas4-domain.com;
location / {
proxy_pass http://0.0.0.0:8080;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
location /api/graphql {
proxy_pass http://172.18.0.3:80/graphql;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
location /api {
proxy_pass http://172.18.0.3:80;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
}
```
After a Nginx restart, just check if the API still works.
```
$ curl -X POST http://my-cas4-domain.com/api/graphql \
-H "Content-Type: application/json" \
-d '{
"query": "mutation Login($input: LoginCredentials!) { login(input: $input) { accessToken tokenType userId } }",
"variables": {
"input": {
"email": "info@cas-4.github",
"password": "mysuperpassword"
}
}
}'
```
|
