feat: add anonymize option

[matthisholleville]

Closes #

📑 Description

Add anonymize option during explain.

✅ Checks

• My pull request adheres to the code style of this project
• My code requires changes to the documentation
• I have updated the documentation as required
• All the tests have passed

ℹ Additional Information

As mentionned here #139, during the analyze --explain the data sent to the AI backend may contain sensitive information that the user wants to anonymize. A flag has been added to allow anonymization of the data before sending it to OpenAI. If an anonymized data is returned in the solution, it is de-anonymized to make the message clear for the user.

k8sgpt git:(feature/add-anonymize-option) ✗ ./k8sgpt analyze --filter HorizontalPodAutoScaler --namespace k8sgpt --explain --anonymize

Return of openAI 

The Kubernetes system is trying to scale a StatefulSet named tGLcCRcHa1Ce5Rs using the HorizontalPodAutoscaler, but it cannot find the StatefulSet. The solution is to verify that the StatefulSet name is spelled correctly and exists in the same namespace as the HorizontalPodAutoscaler.
     

0 k8sgpt/fake-hpa(fake-hpa)
- Error: HorizontalPodAutoscaler uses StatefulSet/fake-deployment as ScaleTargetRef which does not exist.
The Kubernetes system is trying to scale a StatefulSet named fake-deployment using the HorizontalPodAutoscaler, but it cannot find the StatefulSet. The solution is to verify that the StatefulSet name is spelled correctly and exists in the same namespace as the HorizontalPodAutoscaler.

[matthisholleville]

I just modified the PR with all your comments @AlexsJones

[ivan-valkov]

I was just checking out the repo and decided to do a quick drive by review, feel free to ignore, as long as @AlexsJones is happy with the PR :)

[matthisholleville]

Thank you for your review @ivan-valkov . PR updated 🙂

[arbreezy]

LGTM