This Flask API allows users to manage orders data stored in a PostgreSQL database. The API provides endpoints for creating, reading, updating, and deleting orders.

Before setting up and running the Flask API application, ensure you have the following prerequisites installed:

• Docker
• Kubernetes

Follow the steps below to set up and run the Flask API application:

1. Clone the repository:

   $ git clone https://github.com/yourusername/flask-app.git
   $ cd flask-app
   

2. Build the Docker image for the Flask application:

   $ docker build -t flask-api .

3. Build the Docker image for the Mocker:

   $ docker build -t mock-data .

4. Create a Kubernetes cluster either in the cloud or locally. Make sure kubectl is configured to access the cluster.

5. Create a PostgreSQL database instance or use an existing one.

Install Helm:

$ curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash

Run to install psql:

$ helm repo add bitnami https://charts.bitnami.com/bitnami 
$ helm install postgres bitnami/postgresql
$ helm get notes postgres

6. Apply the Kubernetes manifests to deploy the Flask application and run job to store order data into the database:

   $ kubectl apply -f job.yml
   $ kubectl apply -f app.yml
   

7. Verify that the pods and services are running:

   $ kubectl get pods
   $ kubectl get svc   
   

8. Access the Flask API:

• Get the external IP address of the Flask application service:

  $ kubectl get svc flask-service
  

• Use tools like cURL or Postman to send HTTP requests to the API endpoints, using the obtained IP address. For example:

  $ curl http://<flask-service-external-ip>/orders
  

9. Test the API by making requests to different endpoints:

• Create a new order: POST /order
• Get an order: GET /order/<order_id>
• List all orders: GET /order
• Search an order: GET /order/search?q=<product_name>
• Delete an order: DELETE /order/<order_id>

The Flask API application has the following dependencies:

• Flask
• psycopg2

These dependencies are included in the requirements.txt file.

The Flask API handles errors and returns appropriate HTTP status codes:

• 404 - Not found if the data is not found
• 401 - Invalid request
• 405 - Method not allowed