Web-based application client for managing exposure data and operating modelling workflows.There are three components:
- Shiny UI application
- Python Flask server providing services for interacting with exposure and output data
- SQL server database
TODO
We use the GitFlow model described here .
The main idea is that the central repo holds two main branches with an infinite lifetime:
- master: main branch where the source code of HEAD always reflects a production-ready state
- develop: main branch where the source code of HEAD always reflects a state with the latest delivered development changes for the next release. This is where our automatic builds are built from.
When the source code in the develop branch reaches a stable point and is ready to be released, all of the changes should be merged back into master. Feature branchs should be used for new features and fixes, then a Pull Request isues to merge into develop.
TODO
TODO
The Oasis CI system builds and deploys the following Docker images to DockerHub:
Note that the Dockerfiles cannot be used directly as there are version stubs that get substitued at build time by the CI system.
TODO DB setup
The code in this project is licensed under BSD 3-clause license.