ZEN-temple is a FastAPI Application that provides a REST API to access results from ZEN-garden. It is used as a backend for ZEN-Explorer.
- Conda (https://docs.conda.io/en/latest/miniconda.html)
- Python 3.10 or higher
Perform the following steps to install ZEN-temple:
-
Clone the repository and navigate into the folder:
git clone https://github.com/ZEN-universe/ZEN-temple.git cd ZEN-temple -
Create a new conda environment, activate it, and install all dependencies:
conda create --name <your-env-name> python==3.13 conda activate <your-env-name> pip install -e .[mypy]
-
Create a new copy of
.env.cp .env.example .env
Modify the
SOLUTION_FOLDERvariable to the location of your solutions, e.g../outputs. This is theoutputsfolder generated by ZEN-garden.
Open this folder in your terminal. Activate your conda environment for this project and run the application with the following commands:
conda activate <your-env-name>
python -m zen_temple.main --reloadFor information about the available command line arguments run:
python -m zen_temple.main --helpTo create a new release of ZEN-temple follow the following steps. The idea is that for each major release (from v0.4.x to v0.5.0) we sync the version number of ZEN-explorer and ZEN-temple
- Bump version in ZEN-explorer
bash scripts/bump_version.shand update its CHANGELOG.md. - Commit and upload the updated files to GitHub.
- Create a new release for ZEN-explorer: https://github.com/ZEN-universe/ZEN-explorer/releases/new
- Bump version in ZEN-temple
bash scripts/bump_version.shand update CHANGELOG.md. - Commit and upload the updated files to GitHub.
- Create a new release for ZEN-temple, e.g.
<version>. For a pre-release also add a suffix.dev1, i.e.<version>.dev1, and mark the release as pre-release: https://github.com/ZEN-universe/ZEN-temple/releases/new - (optional) Look at PyPI whether the new release has successfully been created: https://pypi.org/project/zen-temple/#history
The folder and file structure is the following:
explorer contains the HTML files for the frontend.
Warning
Do not edit the files in this folder. This folder is automatically generated by the frontend repository pipeline.
models contains the Pydantic-models that are used for the documentation. Some of these models also include generators that create an instance of the model given the path of a solution. See https://fastapi.tiangolo.com/tutorial/body/#create-your-data-model
repositories contains the repositories for the data access. These provide an abstraction layer for the routers such that the data access is separated from the data source. Arguably, the generators defined in the models should be part of the repository in order to separate the instantiation of the models from the way that the solutions are stored. For more information visit https://www.umlboard.com/design-patterns/repository.html
routers contains the FastAPI routers which define the different paths of the API server. For more information visit https://fastapi.tiangolo.com/tutorial/bigger-applications/
config.py contains the config of the application.
main.py contains the setup of the FastAPI application. For more information visit https://fastapi.tiangolo.com/tutorial/bigger-applications/