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Invoking the SAP Workflow Service APIs from Outside of SAP Business Technology Platform

This sample illustrates the essentials for calling a SAP Business Technology Platform (BTP) service API from a Java Spring Boot application running outside of SAP BTP. This code targets the SAP Workflow service, but the same essentials would apply to most SAP BTP service APIs.

Overview

• Invoking the SAP Workflow service APIs from outside of SAP BTP
• Overview
• Description
• Prerequisites
• Quickstarts
  • Quickstart for Running the Application Locally
  • Quickstart for Creating Docker Image
    • Using Dockerfile
    • Using Spring Boot
  • Quickstart for Deploying Containerized Application to Local Kubernetes Cluster
  • Quickstart for Deploying Containerized Application to EKS
• Resources

Description

This is a simple Spring Boot application capable of running in a range of environments. It has been tested running locally on the developer's computer, in a local Kubernetes cluster, and in cloud-based Kubernetes clusters.

The application exposes two API endpoints on port 8080

• GET /workflow/definition/list
  • returns list of workflow definitions
• POST /workflow/instance/new
  • triggers the creation of a new workflow instance

Both endpoints connect to the SAP Workflow service. To successfully make connection to the Workflow service, application first makes a call to XSUAA, the XSA OAuth 2.0 authorization server, running on SAP BTP to request a JWT access token. Then, using the JWT token as an Authorization header, Workflow APIs are invoked.

To make a successful call to both authorization server and Workflow service, application requires four environment variables to be set: UAA_URL, UAA_CLIENTID, UAA_CLIENTSECRET, and ENDPOINTS_WORKFLOW_REST_URL. The exact values for these environment variables are instance-specific to the XSUAA service running in your SAP BTP, Cloud Foundry environment space. Values were issued by the Cloud Foundry Service Broker when the XSUAA instance was created.

Two Workflow API endpoints utilized in the application are /v1/workflow-definitions and /v1/workflow-instances and already have been defined in the application.yml.

Note: This is a sample application that is being intentionally kept simple. A production-ready version would require (at minimum) appropriate authorization security for the application's REST API endpoints along with occasional refresh of an expired JWT token

Prerequisites

Reasonably current versions of a Java JDK and Gradle are required to compile and run this sample.

Calling any SAP BTP service typically requires that you create an instance of that service first. If you don't have an instance of the Workflow service, you can use the exercises described in the SAP Workflow CodeJam to create the Workflow and XSUAA services required in this sample.

Successful completion of SAP Workflow CodeJam should give you the following:

• Workflow Service running in SAP BTP
• An instance of the XSUAA authorization service
• User assigned with correct roles
• One Workflow Definition defined
• Values for the environment variables (the exact procedure for extracting these variables are described in Step 06 of the CodeJam exercises)
  • endpoints.workflow_rest_url
  • uaa.clientid
  • uaa.clientsecret
  • uaa.url

If you already have an existing Workflow Service, you can probably still apply the instructions from Step 06 of the CodeJam exercises to extract the variable values you'll need.

Quickstarts

1. Quickstart for Running the Application Locally
2. Quickstart for Creating Docker Image
3. Quickstart for Deploying Containerized Application to Local Kubernetes Cluster
4. Quickstart for Deploying Containerized Application to EKS

Quickstart for Running the Application Locally

Please make sure you have completed the required prerequisites before continuing.

1. Open up a command line tool of your choice
2. Clone the repo

   git clone https://github.com/SAP-samples/cloud-workflow-spring-sample.git
   

3. Change your current working directory to root of cloned repo

   cd cloud-workflow-spring-sample
   

4. Set four environment variables to appropriate values

   export UAA_URL='https://xxxxxxxxxxxxxxxxxx.authentication.eu10.hana.ondemand.com'
   export UAA_CLIENTID='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
   export UAA_CLIENTSECRET='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
   export ENDPOINTS_WORKFLOW_REST_URL='https://xxxxxxxxxxxxxx/workflow-service/rest'
   

   • UAA_URL should be set to the value of uaa.url
   • UAA_CLIENTID should be set to the value of uaa.clientid
   • UAA_CLIENTSECRET should be set to the value of uaa.clientsecret
   • ENDPOINTS_WORKFLOW_REST_URL should be set to the value of endpoints.workflow_rest_url
5. Run application using gradlew

   ./gradlew clean build bootRun
   

6. Once application is up, you can validate that application is running by navigating to localhost:8080. Swagger UI have been added to this application to help visualize and interact with the two endpoints.
7. (Optional) Try out /workflow/instance/new endpoint with value from the CodeJam and see if you get the same response.

   {
     "definitionId" : "orderprocess",
     "context": {
       "request": {
         "Id": "HT-1003",
         "Quantity": 25
       }
     }
   }

8. After exploring, please don't forget to stop the running application.

Quickstart for Creating Docker Image

There are two ways to create a docker image for spring boot project. Both requires docker to either create and/or validate the image. Please choose one of the following options to create an image, both options will create an image sap-cloud-workflow-spring-sample:0.0.1-SNAPSHOT.

1. Using Dockerfile
2. Using Spring Boot

Using Dockerfile

1. Use the Dockerfile that's available in the project root directory to create an image using a jar file located in /builds/libs directory.

   docker build --build-arg JAR_FILE=/build/libs/*.jar -t sap-cloud-workflow-spring-sample:0.0.1-SNAPSHOT .
   

   Note: Running ./gradlew clean build builds a jar in ./builds/libs folder.

2. Run the following command to validate that image has been created successfully.

   docker images 
   

   Output should look similar to below

   REPOSITORY                          TAG                  IMAGE ID            CREATED             SIZE
   sap-cloud-workflow-spring-sample    0.0.1-SNAPSHOT       xxxxxxxxxxxx        49 seconds ago      317MB
   

3. Run the following command to validate the image. Running the image will produce same result as running the app locally. Once the app is running, you should be able to navigate to localhost:8080 and see the same Swagger UI page as before.

   docker run \
     -e UAA_URL='https://xxxxxxxxxxxxxxxxxx.authentication.eu10.hana.ondemand.com' \
     -e UAA_CLIENTID='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
     -e UAA_CLIENTSECRET='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
     -e ENDPOINTS_WORKFLOW_REST_URL='https://xxxxxxxxxxxxxx/workflow-service/rest' \
     -p 8080:8080 sap-cloud-workflow-spring-sample:0.0.1-SNAPSHOT
   

4. After exploring, please don't forget to stop the running image.

Using Spring Boot

Spring Boot 2.3.0.RELEASE includes buildpack support for both Maven and Gradle which allows you to use gradle/mvn command to create an image without a Dockerfile.

1. Run the following to create an image using gradlew

   ./gradlew bootBuildImage
   

2. Run the following command to validate that image has been created successfully.

   docker images 
   

   Output should look similar to below

   REPOSITORY                          TAG                  IMAGE ID            CREATED             SIZE
   sap-cloud-workflow-spring-sample    0.0.1-SNAPSHOT       xxxxxxxxxxxx        49 seconds ago      317MB
   

3. Run the following command to validate the image. Running the image will produce same result as running the app locally. Once the app is running, you should be able to navigate to localhost:8080 and see the same Swagger UI page as before.

   docker run \
     -e UAA_URL='https://xxxxxxxxxxxxxxxxxx.authentication.eu10.hana.ondemand.com' \
     -e UAA_CLIENTID='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
     -e UAA_CLIENTSECRET='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
     -e ENDPOINTS_WORKFLOW_REST_URL='https://xxxxxxxxxxxxxx/workflow-service/rest' \
     -p 8080:8080 sap-cloud-workflow-spring-sample:0.0.1-SNAPSHOT
   

4. After exploring, please don't forget to stop the running image.

Quickstart for Deploying Containerized Application to Local Kubernetes Cluster

This quickstart requires a Kubernetes Cluster running locally and kubectl CLI

1. Set kubectl config with correct Kubernetes cluster.
2. Run the following command to create a secret sap-cloud-workflow-spring-sample-secret for environment variables to be used in the cluster.

   kubectl create secret generic sap-cloud-workflow-spring-sample-secret \
       --from-literal=UAA_URL='https://xxxxxxxxxxxxxxxxxx.authentication.eu10.hana.ondemand.com' \
       --from-literal=UAA_CLIENTID='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
       --from-literal=UAA_CLIENTSECRET='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
       --from-literal=ENDPOINTS_WORKFLOW_REST_URL='https://xxxxxxxxxxxxxx/workflow-service/rest'
   

3. Run the following command to create a deployment using the image and secret created in the previous step. Deployment yaml file is provided for you to use.

   kubectl create -f kubernetes/local/deployment.yaml
   

4. Create a service to expose the deployment on port 8080.

   kubectl expose deployment/sap-cloud-workflow-spring-sample --type=LoadBalancer --port=8080
   

5. Validate application is running and exposed by navigating to localhost:8080.
6. After exploring, clean up resources by deleting deployment, service and secret created.

   kubectl delete svc sap-cloud-workflow-spring-sample \
       && kubectl delete deployment sap-cloud-workflow-spring-sample \
       && kubectl delete secret sap-cloud-workflow-spring-sample-secret
   

Quickstart for Deploying Containerized Application to EKS

You were able to use a local image for your local Kubernetes cluster, but once you start using Kubernetes service from different hyperscalers, you will need to start thinking about where to pull your images from.

There are two types of registries you can choose from

1. A public registry like Docker Hub
2. A private registry like AWS Elastic Container Registry, Azure Container Registry, Google Container Registry, and more

Below is an example of how to upload image created in a previous step into ECR. Please upload an image to either a public or private registry before continuing. If an image is uploaded to a public registry, please skip creating docker-registry secret from the steps below.

AWS_ACCOUNT_ID=<aws account id>
REGION=<region>

aws ecr get-login-password --region $REGION | docker login --username AWS --password-stdin $AWS_ACCOUNT_ID.dkr.ecr.$REGION.amazonaws.com

aws ecr create-repository --repository-name sap-cloud-workflow-spring-sample-aws-ecr --image-scanning-configuration scanOnPush=true --region $REGION

docker tag sap-cloud-workflow-spring-sample-aws-ecr:0.0.1-SNAPSHOT $AWS_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/sap-cloud-workflow-spring-sample-aws-ecr:0.0.1-SNAPSHOT

docker push $AWS_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/sap-cloud-workflow-spring-sample-aws-ecr:0.0.1-SNAPSHOT

Once uploaded to a container registry, follow the same steps as local Kubernetes cluster to deploy the sample application. Differences between deploying to local and cloud cluster are creating additional secret to pull an image from a private registry and a change to deployment.yaml to use the new secret.

1. Create a secret sap-cloud-workflow-spring-sample-aws-ecr to pull images from a private container registry.

   AWS_ACCOUNT_ID=<aws account id>
   REGION=<region>
   EMAIL=<email>
   
   kubectl create secret docker-registry sap-cloud-workflow-spring-sample-aws-ecr \
       --docker-server=https://$AWS_ACCOUNT_ID.dkr.ecr.$REGION.amazonaws.com \
       --docker-username=AWS \
       --docker-password=$(aws ecr get-login-password --region $REGION) \
       --docker-email=$EMAIL
   

2. Create a secret sap-cloud-workflow-spring-sample-secret for environment variables to be used in the cluster.

   kubectl create secret generic sap-cloud-workflow-spring-sample-secret \
       --from-literal=UAA_URL='https://xxxxxxxxxxxxxxxxxx.authentication.eu10.hana.ondemand.com' \
       --from-literal=UAA_CLIENTID='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
       --from-literal=UAA_CLIENTSECRET='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' \
       --from-literal=ENDPOINTS_WORKFLOW_REST_URL='https://xxxxxxxxxxxxxx/workflow-service/rest'
   

3. Open up deployment.yaml file under /kubernetes/aws/ directory and replace <aws account id> with your own. Then, run the following to create a deployment.

   kubectl create -f kubernetes/aws/deployment.yaml
   

   Note: directory of deployment.yaml have changed from /local to /aws

4. Create a service to expose the deployment.

   kubectl expose deployment/sap-cloud-workflow-spring-sample --type=LoadBalancer --port=8080
   

5. Validate application is running and exposed by navigating to external-ip allocated by the cloud provider. Run the following to grab the external ip/address and navigate to it on port 8080 to see same swagger page as before.

   kubectl get svc sap-cloud-workflow-spring-sample -o jsonpath={.status.loadBalancer.ingress[].hostname}
   

   Note: Assigning an external IP can take more than a minute

6. After exploring, clean up resources by deleting deployment, service and secret created.

   kubectl delete svc sap-cloud-workflow-spring-sample \
       && kubectl delete deployment sap-cloud-workflow-spring-sample \
       && kubectl delete secret sap-cloud-workflow-spring-sample-secret \
       && kubectl delete secret sap-cloud-workflow-spring-sample-aws-ecr
   

Resources

• What is SAP Workflow
• API Business Hub - Workflow Endpoints

License

Copyright (c) 2020 SAP SE or an SAP affiliate company. All rights reserved. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the LICENSE file.