deploy.sh

#!/usr/bin/env bash

yaml2json='python -c "import sys, yaml, json; json.dump(yaml.load(sys.stdin), sys.stdout, indent=4)"'

# Deploy Compute Service
service_response=$(gcloud service-management deploy compute.pb api_config.yaml --format json)

service_id=$(echo ${service_response} | jq '.serviceConfig.id')
service_name=$(echo ${service_response} | jq '.serviceConfig.name')

echo "Deployment: ${service_id} of ${service_name}"

# Evaluate jinja templated YAML file
compute_template_yaml=$(jinja2 k8s/compute.deployment.yaml -D id=${service_id} -D name=${service_name})

# Convert YAML to JSON
compute_template_json=$(echo "${compute_template_yaml}" | eval ${yaml2json})

# Create deployment using JSON configuration
k8_result=$(echo ${compute_template_json} | kubectl create -f -)


echo ${k8_result}

deployment.template.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: compute-esp
spec:
  replicas: 1
  template:
    metadata:
      labels:
        app: compute-esp
    spec:
      containers:
      - name: esp
        image: gcr.io/endpoints-release/endpoints-runtime:1
        args: [
          "-P", "9000",
          "-s", {{name}},
          "-v", {{id}},
          "-a", "grpc://127.0.0.1:8000"
        ]
        ports:
          - containerPort: 9000
      - name: compute
        image: gcr.io/qubit-161916/qubit-compute:latest
        ports:
          - containerPort: 8000