Tobias Eidelpes - Update Functionality, Docker Deployment, AWS Config, Presentation 2
Manuel Hude - Mongo DB CRD, Parts IoT Client, Docker Deployment, Presentation 1
Martin Schett - IoT Client, Recovery Logic, AWS Config, Dropbox Service, Presentation 1
Martin Weick - AWS Service, IoT Client Simulation, Presentation 2
Marco Zeisler - Hashing, User Frontend, Presentation 2

How to start the program

In the project root run: docker-compose up -d
Go to http://localhost:8080 for the frontend
Run docker ps to see the container ID of the image aic_g4t2_iot_client
Enter docker exec -it <ContainerID> /bin/bash to enter the shell of the iot_client
Get a usage message by entering help

Technologies used

Python 3.8.6 with Django for the backend
Angular 9 for the frontend
Dropbox API for an image storage
AWS S3 as an object storage
MongoDB as a metadata storage

Detailed description of a usecase

Follow: How to start the program to setup the program. To simulate that a device sent some picture enter trigger into the iot_client. You can now see the pictures distributed over the different storages. Write set 0 to position the cursor to the first image sent. Issue update to update the image. The new image shows up in the dashboand and a new version in the corresponding storages is created. Navigate to the Map in the frontend to see a location marker where the image was taken.

Credentials for AWS and Dropbox

AWS

Login URL: https://www.awseducate.com/student/s/
Mail: e1633073@student.tuwien.ac.at
Passwort: OH2uMfNTwlOYBB364zqf!
Bucket: https://s3.console.aws.amazon.com/s3/buckets/aic-fun-bucket-2020?region=us-east-1&tab=objects

Dropbox

Username: e01633073@student.tuwien.ac.at
Password: aicdropboxpassword

Languages

Python 55.2%

TypeScript 23.2%

HTML 11.5%

Dockerfile 2.2%

JavaScript 2.2%

Other 5.7%