https://github.com/rgolangh/mta-swf
https://github.com/rgolangh/mta-swf
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/rgolangh/mta-swf
- Owner: rgolangh
- Created: 2023-05-24T14:12:26.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-13T09:47:52.000Z (almost 2 years ago)
- Last Synced: 2024-12-28T02:29:52.194Z (5 months ago)
- Language: Java
- Size: 80.1 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MTA analysis using Sonata Serverless Workflow
## Description
This is a port of Parodos workflow written entirely in serverless workflow with sonataflow.
It performs consecutive REST invocations defined as functions.
## Installing and Running
### Prerequisites
You will need:
- Java 11+ installed
- Environment variable JAVA_HOME set accordingly
- Maven 3.8.1+ installed
When using native image compilation, you will also need:
- [GraalVm](https://www.graalvm.org/downloads/) 20.2.0+ installed
- Environment variable GRAALVM_HOME set accordingly
- Note that GraalVM native image compilation typically requires other packages (glibc-devel, zlib-devel and gcc) to be installed too. You also need 'native-image' installed in GraalVM (using 'gu install native-image'). Please refer to [GraalVM installation documentation](https://www.graalvm.org/docs/reference-manual/aot-compilation/#prerequisites) for more details.
### Compile and Run in Local Dev Mode
```sh
mvn clean package quarkus:dev
```
### Compile and Run in JVM mode
```sh
mvn clean package
java -jar target/quarkus-app/quarkus-run.jar
```
or on Windows
```sh
mvn clean package
java -jar target\quarkus-app\quarkus-run.jar
```
### Compile and Run using Local Native Image
Note that this requires GRAALVM_HOME to point to a valid GraalVM installation
```sh
mvn clean package -Pnative
```
To run the generated native executable, generated in `target/`, execute
```sh
./target/sw-quarkus-greeting-{version}-runner
```
### Submit a request
To invoke an MTA analysis using this workflow make sure you have an MTA service running.
Specify the endpoint in workflow spec under the function section `src/main/resources/mta.sw.yaml`
```yaml
// showing only the functions section
functions:
- name: getApplication
type: custom
operation: rest:get:https://mta.example.org:443/hub/applications
```
Execute the flow using curl with this payload:
```sh
curl -XPOST -H "Content-Type: application/json" http://localhost:8080/MTAAnalysis -d '{"repositoryURL": "https://github.com/your/repo"}'
```
## Deploying with Kogito Operator
In the [`operator`](operator) directory you'll find the custom resources needed to deploy this example on OpenShift with the [Kogito Operator](https://docs.jboss.org/kogito/release/latest/html_single/#chap_kogito-deploying-on-openshift).