Add basic documentation how to run Continuous Tests (#63)

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# Distributed Tests automation # Tests automation
1. [Description](#description) 1. [Description](#description)
2. [Architecture](#architecture) 2. [Architecture](#architecture)
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We can [run Tests locally](LOCALSETUP.md) and it works well, but in order to scale that we may need to run Tests in an automatic way using remote Kubernetes cluster. We can [run Tests locally](LOCALSETUP.md) and it works well, but in order to scale that we may need to run Tests in an automatic way using remote Kubernetes cluster.
Initially, we are considering to run dist-tests on [nim-codex](https://github.com/codex-storage/nim-codex) master branch merge, to be able to determine regressions. And we also working on [Continuous Tests](/ContinuousTests) which are called to detect issues on continuous Codex runs. Initially, we are considering to run dist-tests on [nim-codex](https://github.com/codex-storage/nim-codex) master branch merge, to be able to determine regressions. And we also working on [Continuous Tests](Continuous-Tests.md) which are called to detect issues on continuous Codex runs.
## Architecture ## Architecture
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<img src="Architecture.png" alt="Architecture" width="800"/> <img src="Architecture.png" alt="Architecture" width="800"/>
``` ```
Logs --> Kibana Vector --> Elaticsearch --> Kibana
/ | / (Logs) |
GitHub --> CI --> Kubernetes --> Job Prometheus Elaticsearch GitHub --> CI --> Kubernetes --> Job |
\ / \ / \ | \ / \ |
------------------------ Metrics --> Grafana ----------- Prometheus --> Grafana
(Metrics)
``` ```
1. GitHub Actions run a workflow
2. This workflow create a Job in Kubernetes cluster
3. Job run Dist-Tests runner Pod with specified parameters
4. Dists-Tests runner run the tests from inside the Kubernetes and generate the logs
5. Vector ship the logs of the Dists-Tests Pods
6. Prometheus collect the metrics of the Dists-Tests Codex Pods
7. We can see the status of the Dist-Test
### Components ### Components

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# Continuous Tests
1. [Description](#description)
2. [Prerequisites](#prerequisites)
3. [Run tests](#run-tests)
4. [Analyze logs](#analyze-logs)
## Description
Continuous Tests were developed to perform long lasting tests in different configurations and topologies. Unlike Distributed Tests, they are running continuously, until we stop them manually. Such approach is very useful to detect the issues which may appear over the time when we may have blocking I/O, unclosed pools/connections and etc.
Usually, we are running Continuous Tests manually and for automated runs, please refer to the [Tests automation](Automation.md).
We have two projects in the repository
- [CodexNetDeployer](../CodexNetDeployer) - Prepare environment to run the tests
- [ContinuousTests](../ContinuousTests) - Continuous Tests
And they are used to prepare environment and run Continuous Tests.
## Prerequisites
1. Kubernetes cluster, to run the tests
2. kubeconfig file, to access the cluster
3. [kubectl](https://kubernetes.io/docs/tasks/tools/) installed, to create resources in the cluster
4. Optional - [OpenLens](https://github.com/MuhammedKalkan/OpenLens) installed, to browse cluster resources
## Run tests
1. Create a Pod in the cluster, in the `default` namespace and consider to use your own value for `metadata.name`
<details>
<summary>tests-runner.yaml</summary>
```yaml
---
apiVersion: v1
kind: Pod
metadata:
name: tests-runner
namespace: default
labels:
name: manual-run
spec:
containers:
- name: runner
image: mcr.microsoft.com/dotnet/sdk:7.0
env:
- name: KUBECONFIG
value: /opt/kubeconfig.yaml
# volumeMounts:
# - name: kubeconfig
# mountPath: /opt/kubeconfig.yaml
# subPath: kubeconfig.yaml
# - name: logs
# mountPath: /var/log/codex-dist-tests
command: ["sleep", "infinity"]
# volumes:
# - name: kubeconfig
# secret:
# secretName: codex-dist-tests-app-kubeconfig
# - name: logs
# hostPath:
# path: /var/log/codex-dist-tests
```
```shell
kubectl apply -f tests-runner.yaml
```
2. Copy kubeconfig to the runner
```shell
kubectl cp ~/.kube/codex-dist-tests.yaml tests-runner:/opt/kubeconfig.yaml
```
3. Exec into the runner Pod using the name you set in the previous step
```shell
# kubectl
kubectl exec -it tests-runner -- bash
# OpenLens
OpenLens --> Pods --> dist-tests-runner --> "Press on it" --> Pod Shell
```
4. Install required packages
```shell
apt update
apt install -y tmux
```
5. Clone c-tests repository
```shell
tmux
cd /opt
git clone https://github.com/codex-storage/cs-codex-dist-tests.git
```
6. Run `CodexNetDeployer`
```shell
# Usually take ~ 10 minutes
cd cs-codex-dist-tests/CodexNetDeployer
export RUNID=$(date +%Y%m%d-%H%M%S)
bash deploy-continuous-testnet.sh
```
7. Run `ContinuousTests`
```
cd ../ContinuousTests
cp ../CodexNetDeployer/codex-deployment.json .
bash run.sh
```
## Analyze logs
We should check the logs in the `/opt/cs-codex-dist-tests/ContinuousTests/logs/` folder