tweetsentimentanalysis/webinterface repository overview

⁠Webinterface

This component let's the user register terms for analyzing.

⁠Build and Deploy

• 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/webinterface:0.0.2 -t tweetsentimentanalysis/webinterface:latest .
• Run docker push tweetsentimentanalysis/webinterface:0.0.2 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/webinterface:latest

⁠Run the container

After you have built the container, you may run it using the following command:

docker run -p 9000:8080 -e REGISTRAR_URL='http://someUrl.toRegistrar.com' -e ELASTICSEARCH_URL='https://some.Url.com' -e AWS_ACCESS_KEY_ID="..." -e AWS_ACCESS_KEY_SECRET="..." tweetsentimentanalysis/webinterface:latest

Use the appropriate URLs as well as AWS credentials with at least the permissions of AmazonSQSReadOnlyAccess, CloudWatchReadOnlyAccesse. Note, that you also may specify the following environment variables during startup:

• AWS_EC2_REGION: The region in which the instances of the autoscaling groups are located, e.g. us-west-2
• AWS_ANALYZER_AUTO_SCALING_GROUP_NAME: The AWS autoscaling group name of the instances on which tweets get analyzed
• AWS_PRODUCER_AUTO_SCALING_GROUP_NAME: The AWS autoscaling group name of the instances on which the tweets are pushed to Elasticsearch
• AWS_FETCHED_TWEETS_SQS_QUEUE_NAME: The AWS SQS Queue name in which the fetched tweets are located
• AWS_ANALYZED_TWEETS_SQS_QUEUE_NAME: The AWS SQS Queue name in which the analyzed tweets are located

⁠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