#!/usr/bin/env bash cd $(cd -P -- "$(dirname -- "$0")" && pwd -P) # Fetching port and network as input PORT=8888 REGISTRY=5000 while [[ "$#" -gt 0 ]]; do case $1 in -p|--port) PORT="$2"; shift;; -r|--registry) REGISTRY="$2"; shift;; -n|--network) NETWORK="$2"; shift;; # -u|--uglify) uglify=1;; *) echo "Unknown parameter passed: $1"; exit 1;; esac; shift; done # Check if arguments are valid if [[ $PORT != [0-9][0-9][0-9][0-9]* ]]; then echo "Given port is not valid." echo "Usage: $0 -p [port] -n [docker-network] -r [registry-port] # ports must be an integer with 4 or more digits." exit 21 fi if [[ $REGISTRY != [0-9][0-9][0-9][0-9]* ]]; then echo "Given registry port is not valid." echo "Usage: $0 -p [port] -n [docker-network] -r [registry-port] # ports must be an integer with 4 or more digits." exit 21 fi if [[ $NETWORK == "" ]]; then echo "No docker network was provided to which this gpu-jupyter should be added to." echo "Usage: $0 -p [port] -n [docker-network] -r [registry-port] # ports must be an integer with 4 or more digits." exit 22 fi result=$(docker network ls) if [[ "$result" != *" $NETWORK "* ]]; then echo "Could not find network $NETWORK. Please provide a valid docker network." echo "Please select a network:" docker network ls exit 23 fi # starting in swarm export HOSTNAME=$(hostname) export JUPYTER_PORT=$PORT export REGISTRY_PORT=$REGISTRY export JUPYTER_NETWORK=$NETWORK echo "Adding gpu-jupyter to the swarm on the node $HOSTNAME in the network $NETWORK on port $PORT and registry to port $REGISTRY." # substitute the blueprint docker-compose-swarm with the environment variables and stack deploy it. envsubst < docker-compose-swarm.yml > .docker-compose-swarm.yml.envsubst docker-compose -f .docker-compose-swarm.yml.envsubst build docker-compose -f .docker-compose-swarm.yml.envsubst push docker stack deploy --compose-file .docker-compose-swarm.yml.envsubst gpu rm .docker-compose-swarm.yml.envsubst echo echo "Added gpu-jupyter to docker swarm $NETWORK on port $JUPYTER_PORT." echo "See 'docker service ps gpu_gpu-jupyter' for status info." echo "See 'docker service logs -f gpu_gpu-jupyter' for logs."