tweetsentimentanalysis/analyzer repository overview

⁠Tweet Analyzer

This component analyzes fetched tweets from Twitter before sending them to a message queue.

⁠Build and Deploy

In order to build this project as well as deploy a new image to docker hub, perform the following steps:

• Invoke mvn package to install and package the project into a JAR located in the target folder.

• Login to your account to dockerhub: docker login

• From the root of this project, build a new docker image with the respective version: docker build -t tweetsentimentanalysis/analyzer:0.0.1 .

• Run docker push tweetsentimentanalysis/analyzer:0.0.1 to deploy to dockerhub

⁠Get the container

If you do not want to build the container by your own, you may use the following to get the image from DockerHub: docker pull tweetsentimentanalysis/analyzer:latest

⁠Run the container

After you have built the container, you may run it using the following command: docker run -e AWS_ACCESS_KEY_ID='...' -e AWS_SECRET_ACCESS_KEY='...' -e NO_THREADS='1' tweetsentimentanalysis/analyzer:0.0.1 which runs the container, i.e. consumes fetched tweets, analyzes them and pushes them back to a message queue. Use the appropriate credentials for this.

⁠Remove built images

In order to clean up, you may want to remove the previously created image and container:

• Run docker ps -a in order list created containers.
• Choose the corresponding container id and invoke docker stop <ID> && docker rm <ID>
• Run docker images to list all created images
• Run docker rmi <ID> with the id of the image to remove it