.. | ||
.devcontainer | ||
.vscode | ||
ovdashboard_api | ||
.gitignore | ||
poetry.lock | ||
pyproject.toml | ||
README.md |
OVDashboard API
This API enables the OVDashboard UI to run.
Quick Start
If you only want a working installation, it is highly recommended to use the docker
image at TODO
.
The image contains both the API and UI.
Refer to the main README for an in-depth how-to.
Setup for development and contribution
No need to fiddle around with specific python versions or even virtualenv
s.
You only need a "general purpose" development setup to get this project up and running for debug and contribution purposes:
- Docker Engine
- Visual Studio Code
- Remote - Containers (VSCode extension)
Once you open this directory in VSCode, you should be prompted to reopen it in a development container.
If not, hit Ctrl+Alt+P
and search for "reopen in container".
Running the API without the docker
image
You probably don't need this! Usually the image is good enough!
However, if you want to deploy the API on a cluster or with custom ASGI workers and/or process managers, go ahead.
First, install the ovdashboard_api
python package.
Then you can:
- use
uvicorn
or another ASGI runner to start the app objectovdashboard_api:app
Example:uvicorn 'ovdashboard_api:app'
- run the provided
ovdashboard-api
script – this is basically a shorthand foruvicorn
- use
gunicorn
or another application server with ASGI workers
Example (ASGI workers provided byuvicorn
):gunicorn 'ovdashboard_api:app' --worker-class 'uvicorn.workers.UvicornWorker'
Configuration
The OVDashboard API is configured using environment variables or an .env
file in the directory which it is run from.
Refer to the main README for the list of variables.
Installing the ovdashboard_api
python package
If git
is installed, install ovdashboard_api
directly using this command:
python3 -m pip install 'git+https://TODO#egg=ovdashboard_api&subdirectory=api'
If installing git
is not an option, just download and extract this repository's archive, then use your local path instead of the git+https://
URL for pip install
.
Installation Dependencies
Refer to your distribution's manual for how to install these dependencies:
- Python 3.9 with pip
Ifpython3 --version
shows "Python 3.9" or later, andpython3 -m pip
does execute, your setup is working. - git (recommended)
- libmagic