2.0 KiB
2.0 KiB
AIC Federated Storage Project
Teammembers
- Tobias Eidelpes (01527193)
- Manuel Hude (01502712)
- Martin Schett (01633073)
- Martin Weick (01627760)
- Marco Zeisler (01628030)
Who worked on what?
- 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:8080for the frontend - Run
docker psto see the container ID of the image aic_g4t2_iot_client - Enter
docker exec -it <ContainerID> /bin/bashto 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