CloudSeis

CloudSeis is a cloud-based seismic data processing software based on the desktop app BotoSeis
CloudSeis is mainly a wrapper for SeismicUnix allowing usage through API and web UI, adding tooling for store, track and organize data processing steps.

Getting Started

Dependencies

• Main dependencies:
  • SeismicUnix (There is a step to install it bellow)
  • Docker (Necessary for quiky run)
  • Unix Based system (SeismicUnix installationg script only work on Debia based systens)
• Opcional dependancies, for manual run only (docker handle they)
  • Python v3.10.8 or above
  • Node.js v16 or above
  • yarn v1.22.19 or above

Installing seismic unix

run the command line bellow on visit the oficial guide to manual install

bash -c "$(wget -qO- https://gist.githubusercontent.com/botoseis/4ca681cb9ef706c1b8410153c6199cf2/raw/b16ad754839d1ca3657d8e8396db14f5ba791e6b/install_seismic_unix.sh)"

Quicky start

Requires docker-compose

Go to root and run the Makefile. It will make available the necessery services for end user.

make

For automate tests, make the test database available by runing:

make test

For manage or make new programs available, run the admin dashboard:

make adm

Each service can be run and managed individualy with docker-compose.

To manully run any instance without docker, check each folder README.md.

Architeture

Services

The project is divided in 4 services:

• API
  Base API that handle every persistent storage on the aplication
• Admin Client
  Web interface that provides management of the programs available for the end user. The admin can create, delete and modify programs information. It will reflect in the end user view.
• Workspace
  The end user view. Where the avarage end user must interact with it's workflows, files and history information
• Data-view
  Vizualization web interface. Usualy it opens as result of some action at the Workspace, displaying visualization tools for the selected data or for the resulting data of some process.

Database diagram

Database diagram simplified for easier understanding of data flow.
Mostly every table have a column to identify who can access and modify each row.