uniwue/ommr4all
Deployment/Setup of all ommr4all services
You can setup OMMR4all using docker
and docker-compose
.
docker-ce
and docker-compose
for your platform.docker-compose.yml
file.docker-compose.yml
and replace ${STORAGE}
and the ${PORT}
to your wishes (e.g., use /opt/ommr4all-storage
and 8001
).docker-compose up -d
docker-compose run /opt/ommr4all/ommr4all-deploy-venv/bin/python /opt/ommr4all/ommr4all-deploy/modules/ommr4all-server/manage.py createsuperuser
docker-compose pull
docker-compuse up
You can run docker image prune -f
to clean all previous versions or older images that are currently unused.
Follow the instructions in the Dockerfile
.
You can also setup a gitlab-runner
for automatic deployment (Clone the project on github.com with CI-integration), create a runner with either
deployment-production
: redeploy if a new (version) tag was addeddeployment-master
: redeploy if the master is updatedThese instructions are not complete yet.
pip install tensorflow_gpu<2
)modules
directure) but the server: python setup.py install
.requirements.txt
: pip install -r requirements.txt
.Angluar CLI Server
.Django Server
.Angular Application
which will open a browser.docker pull uniwue/ommr4all