Connecting Data Sources

Tutorial

Firstly if you've followed the enterprise setup into Kubernetes you can install Airbyte using helm.

helm repo add airbyte https://airbytehq.github.io/helm-charts

And install into a namespace called airbyte.

helm install airbyte --create-namespace --namespace airbyte airbyte/airbyte

Open a port in K9s

In K9s move to the namespace airbyte to select a namespace type :ns.

You can now connect to Airbyte using from localhost http://localhost:8000

Install RabbitMQ

We use RabbitMQ as a way to communicate with Airbyte

Run the following...

echo "
apiVersion: v1
kind: Namespace
metadata:
  name: rabbitmq

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: rabbitmq-deployment
  namespace: rabbitmq
spec:
  replicas: 1
  selector:
    matchLabels:
      app: rabbitmq
  template:
    metadata:
      labels:
        app: rabbitmq
    spec:
      containers:
      - name: rabbitmq
        image: \"rabbitmq:3-management\"
        ports:
        - containerPort: 5672
        - containerPort: 15672
        env:
        - name: RABBITMQ_DEFAULT_USER
          value: \"admin\"
        - name: RABBITMQ_DEFAULT_PASS
          value: \"admin\"

---
apiVersion: v1
kind: Service
metadata:
  name: rabbitmq-service
  namespace: rabbitmq
spec:
  selector:
    app: rabbitmq
  ports:
    - name: rabbitmq-port
      protocol: TCP
      port: 5672
      targetPort: 5672
    - name: rabbitmq-management-port
      protocol: TCP
      port: 15672
      targetPort: 15672
  type: ClusterIP
" | kubectl apply -f -

Create a rabbit MQ queue.

Go to the rabbitmq namespace in K9s and hit shift+f and open a port into the RabbitMQ admin interface which runs on port 15672.

You can then access the admin interface via http://localhost:15672.

Create a queue called bionic-pipeline
Create a binding to the queue from amq.topic to *.bionic-pipeline

Testing the Queue (Optional)

curl -i -u admin:admin -H "Content-Type: application/json" -X POST -d '{"properties":{},"routing_key":"123456.bionic-pipeline","payload":"Your_Message_Content","payload_encoding":"string"}' http://localhost:15672/api/exchanges/%2F/amq.topic/publish

If the message was successfully routed you should see

{"routed":true}

Create an Airbyte -> RabbitMQ destination

From the Airbyte UI create a destination where the routing key is API_KEY.bionic-pipeline where API_KEY is the key we created in the bionic user interface for a document pipeline.
The destination should be set to rabbitmq-service.rabbitmq.svc.cluster.local.
Switch off SSL
The username is admin
The password is admin
Exchange is amq.topic

Github connection

Get an access token from Github
Create a Github source and add the access token.

Install Bionic RabbitMQ Listener

echo '
apiVersion: batch/v1
kind: CronJob
metadata:
  name: rabbitmq-cronjob
  namespace: bionic-gpt
spec:
  schedule: "*/1 * * * *"
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: rabbitmq-container
            image: ghcr.io/bionic-gpt/bionicgpt-rabbitmq:latest
            env:
              - name: RABBITMQ_URL
                value: "http://rabbitmq-service.rabbitmq.svc.cluster.local:15672/api/queues/%2f/bionic-pipeline/get"
              - name: USERNAME
                value: "admin"
              - name: PASSWORD
                value: "admin"
              - name: UPLOAD_URL
                value: "http://bionic-gpt.bionic-gpt.svc.cluster.local:7903/v1/document_upload"
          restartPolicy: Never
' | kubectl apply -f -

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