vars

#!/bin/bash

#### BEGIN DOCKER RUN VARIABLES

# Name of the container
APP_NAME=elasticsearch
# Docker Hub Username or internal registry (e.g. docker-registry.example.com:5000)
REPO_NAME="myusername"
# TCP port that the Docker host will expose the Elasticsearch API on
DOCKER_HOST_API_PORT=9200
# The directory on the Docker host to store Elasticsearch data
ELASTICSEARCH_DATADIR=/dockerhost/dir/for/elasticsearch/data

# The next few variables are for configuring an Elasticsearch cluster, they are optional
# If you aren't going to build a cluster, comment them out 

# Name for your cluster, this should be set the same on other nodes (optional)
CLUSTER_NAME=mycluster
# FQDN or IP addresses of the other members of the cluster, preserve the quoting in the example, it is important
CLUSTER_NODES='["node2.example.com", "node3.example.com"]'
# IP address that other cluster members can reach the Docker host on, specifically port 9300 for cluster communications
# Note: hostname --ip-address requires that DNS resolution for the host is setup, if not just set the IP here
DOCKER_HOST_IP=`hostname --ip-address`
# Short name for this Elasticsearch instance
NODE_NAME=node1
# TCP port that the Docker host will expose the Elasticsearch Transport (cluster members communicate over this port)
DOCKER_HOST_TRANSPORT_PORT=9300

#### END DOCKER RUN VARIABLES
#### BEGIN FRAMEWORK VARIABLES
  
# Get an SHA sum of all files involved in building the image so the image can be tagged
# this will provide assurance that any image with the same tag was built the same way. 
SHASUM=`find . -type f \
        -not -path "*/.git/*" \
        -not -path "*.gitignore*" \
        -not -path "*builds*" \
        -not -path "*run.sh*" \
        -exec shasum {} + | awk '{print $1}' | sort | shasum | cut -c1-4`
  
TAG="`date +%Y%m%d`-${SHASUM}"

#### END FRAMEWORK VARIABLES