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Kube or Fake? is an entertaining mini-game, where the player's goal is to correctly guess whether a ChatGPT generated word is a real Kubernetes term, or made up.

Play @ https://kube-or-fake.raftt.io

Don't forget to share your results on LinkedIn / Twitter !

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Create Your Own Kube or Fake? 🧑‍💻

Requirements

• Python

• npm

• Docker

• AWS SAM CLI

brew install aws/tap/aws-sam-cli

Getting Started

1. Fork this repository
2. Install dependencies

npm install

Developing the ChatGPT Generator AWS Lambda

This repository includes the files needed to run the AWS Lambda locally, and deploy it to AWS using a CloudFormation template.

Configuring the AWS Lambda

1. In template.yml, provide values for the environment variables OPENAI_API_KEY and OPENAI_MODEL_NAME.

2. Create a local Lambda Layer for the openai Python package:

pip install -r requirements.txt -t libs/python

Running the AWS Lambda Locally

The Lambda can be run locally using sam:

sam local start-api

This command starts a server running in localhost:3000. The command output should look like this:

Mounting GenerateKubernetesTermFunction at http://127.0.0.1:3000/generate [GET]                                                                                                                                    
You can now browse to the above endpoints to invoke your functions. You do not need to restart/reload SAM CLI while working on your functions, changes will be reflected instantly/automatically. If you used sam  
build before running local commands, you will need to re-run sam build for the changes to be picked up. You only need to restart SAM CLI if you update your AWS SAM template                                       
2023-07-20 11:58:51 WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:3000
2023-07-20 11:58:51 Press CTRL+C to quit

When the Lambda is invoked via localhost:3000/generate, some more logs are shown:

Invoking lambda.lambda_handler (python3.10)
OpenAILambdaLayer is a local Layer in the template
Local image is up-to-date
Building image.....................
Using local image: samcli/lambda-python:3.10-x86_64-b22538ac72603f4028703c3d1.

Mounting kube-or-fake/lambda as /var/task:ro,delegated, inside runtime container
START RequestId: b1c733b3-8449-421b-ae6a-fe9ac2c86022 Version: $LATEST
END RequestId: b1c733b3-8449-421b-ae6a-fe9ac2c86022
REPORT RequestId: b1c733b3-8449-421b-ae6a-fe9ac2c86022

Note: You may be requested to provide your local machine credentials to allow sam interacting with your local docker daemon.

The Lambda code exists in lambda/lambda.py, with lambda_handler being the, well, handler. Feel free to explore with it!

Be aware that the Lambda docker image will be built upon each invocation, and as such there's no need to re-run sam local start-api when making changes to the Lambda code (changes to template.yml do require a re-run though).

Deploying to AWS Lambda

We do this using sam as well:

sam build
sam deploy

Follow the command's output to see where your new Lambda is created.

Invoking the Lambda from Game Code (JS)

In scripts/words.js, change GENERATOR_URL to either http://127.0.0.1:3000/generate (if running locally) or your remote Lambda URL.

Open up index.html on any browser and start playing. If configured correctly, you should see the Lambda invocations (either via local logs or CloudWatch).