Tweet Analyzing Server

This server receives an input from the user in the form of a list of tokens separated by spaces. It processes this list within its database of tweets and returns some interesting visualizations based on its results.

Getting Started

These instructions will get your copy of the tweet analyzing server up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install the software and how to install them:

Docker Desktop with Kubernetes

Installing

A step-by-step series of examples that tell you how to get a development environment running.

1. Clone the project

Start by cloning the project to your local machine:

git clone https://github.com/Xilandia/Tweet-Analyzer-Final-Project.git
cd Tweet-Analyzer-Final-Project

2. Build each image

Navigate to each service directory and build the Docker images. Replace service_name with the actual service names:

cd path/to/service
docker build -t service_name:latest .

Repeat this step for each of the microservices.

3. Apply the Kubernetes configurations

Navigate to the kubernetes folder and apply the configurations:

cd path/to/kubernetes
kubectl apply -f .

This will set up all necessary Kubernetes resources, such as Deployments, Services, and any other configurations you have defined.

4. Expose the Ingress

Because we ran using a local environment, we had to manually expose the Ingress via port forwarding:

kubectl port-forward service/nginx-ingress-ingress-nginx-controller 8080:80 -n default

This will set up the server, and it will start running on its own once it has sufficient resources.

Built With

• NodeJS - The web framework used for the web-interface-service and input-parsing-service
• Flask - The Python app framework used for the rest of the services

Contributing

Please shoot me a message at [email protected] if you have any questions or want to continue this project.

Authors

• Omer Segal - Initial work - Xilandia
• Fanny Guthmann - Initial work - fguthmann