The Yale NeuroSCAN & Promoter DB Project
backend/strapi - headless CMSfrontend/React application composed of NeuroSCAN and PromoterDB applicationdeployment/Helm chart and Codefresh pipeline definition
The Yale deployment is built on top of CloudHarness. The deployment process is based on Python 3.7+ scripts. It is recommended to setup a virtual environment first.
With conda:
conda create --name yale python=3.7
conda activate yaleTo install CloudHarness:
git clone https://github.com/MetaCell/cloud-harness.git
cd cloud-harness
pip install -r requirements.txt
Follow the respective README in the frontend and backend project to start up a development server for each project.
The default configuration is already set up so that no modification of ENV variables or configuration is required.
The first time you start up StrapiCMS you will need to create an admin account.
Optionally, you can also deploy to a local minikube cluster to test any changes in context of Kubernetes.
Two scripts are available to take off some work:
build.sh- builds the required Docker imagesdeploy_minikube.sh- installs the helm chart, located indeploymentfolder, in the minikube cluster
A commit to development branch will trigger the deployment pipeline in Codefresh for the development stage.