grader.md

Grading Env-ish

This file will give a very brief overview of what steps will be performed by the grading environment to give you a better idea of how the test cases will be run.

We will have some things installed and in the PATH variable already. Keep an eye out for those. Multiple terminals are to be used at certain places in this code file

Startup

We already have minikube in the machine and the grading script will perform the following steps:

These commands are run in the same or different terminal instances as required

minikube start <additional settings>

Step 1

Here we will test your deployment of Zookeeper and Kafka. We will run the following commands:

kubectl apply -f ./zookeeper-setup.yaml
kubectl apply -f ./kafka-setup.yaml

Step 2

Here we will test your deployment of Neo4j:

helm is already installed in the setup and the neo4j helm chart available

helm install my-neo4j-release neo4j/neo4j -f neo4j-values.yaml
kubectl apply -f neo4j-service.yaml

Step 3

The penultimate step is to test your deployment of the Kafka-Neo4j connection. We will run the following commands:

kubectl apply -f kakfa-neo4j-connector.yaml

Step 4

The final step is to test your deployment of the entire pipeline with the interface file. We will run the following commands:

There are hidden test cases that are present at every step

kubectl port-forward svc/neo4j-service 7474:7474 7687:7687
kubectl port-forward svc/kafka-service 9092:9092
python3 data_producer.py
python3 tester.py