[DROOLS-7600] Impact Analysis : export as JSON

[tkobayas]

JIRA:
https://issues.redhat.com/browse/DROOLS-7600

How to replicate CI configuration locally?

Build Chain tool does "simple" maven build(s), the builds are just Maven commands, but because the repositories relates and depends on each other and any change in API or class method could affect several of those repositories there is a need to use build-chain tool to handle cross repository builds and be sure that we always use latest version of the code for each repository.

build-chain tool is a build tool which can be used on command line locally or in Github Actions workflow(s), in case you need to change multiple repositories and send multiple dependent pull requests related with a change you can easily reproduce the same build by executing it on Github hosted environment or locally in your development environment. See local execution details to get more information about it.

How to retest this PR or trigger a specific build:

• for pull request checks
  Please add comment: Jenkins retest this

• for a specific pull request check
  Please add comment: Jenkins (re)run [drools|kogito-runtimes|kogito-apps|kogito-examples] tests

• for a full downstream build

  • for jenkins job: please add comment: Jenkins run fdb
  • for github actions job: add the label run_fdb

• a compile downstream build please add comment: Jenkins run cdb

• an upstream build please add comment: Jenkins run upstream

• for quarkus branch checks
  Run checks against Quarkus current used branch
  Please add comment: Jenkins run quarkus-branch

• for a quarkus branch specific check
  Run checks against Quarkus current used branch
  Please add comment: Jenkins (re)run [drools|kogito-runtimes|kogito-apps|kogito-examples] quarkus-branch

• for quarkus main checks
  Run checks against Quarkus main branch
  Please add comment: Jenkins run quarkus-main

• for a specific quarkus main check
  Run checks against Quarkus main branch
  Please add comment: Jenkins (re)run [drools|kogito-runtimes|kogito-apps|kogito-examples] quarkus-main

• for quarkus lts checks
  Run checks against Quarkus lts branch
  Please add comment: Jenkins run quarkus-lts

• for a specific quarkus lts check
  Run checks against Quarkus lts branch
  Please add comment: Jenkins (re)run [drools|kogito-runtimes|kogito-apps|kogito-examples] quarkus-lts

• for native checks
  Run native checks
  Please add comment: Jenkins run native

• for a specific native check
  Run native checks
  Please add comment: Jenkins (re)run [drools|kogito-runtimes|kogito-apps|kogito-examples] native

• for native lts checks
  Run native checks against quarkus lts branch
  Please add comment: Jenkins run native-lts

• for a specific native lts check
  Run native checks against quarkus lts branch
  Please add comment: Jenkins (re)run [drools|kogito-runtimes|kogito-apps|kogito-examples] native-lts

How to backport a pull request to a different branch?

In order to automatically create a backporting pull request please add one or more labels having the following format backport-<branch-name>, where <branch-name> is the name of the branch where the pull request must be backported to (e.g., backport-7.67.x to backport the original PR to the 7.67.x branch).

NOTE: backporting is an action aiming to move a change (usually a commit) from a branch (usually the main one) to another one, which is generally referring to a still maintained release branch. Keeping it simple: it is about to move a specific change or a set of them from one branch to another.

Once the original pull request is successfully merged, the automated action will create one backporting pull request per each label (with the previous format) that has been added.

If something goes wrong, the author will be notified and at this point a manual backporting is needed.

NOTE: this automated backporting is triggered whenever a pull request on main branch is labeled or closed, but both conditions must be satisfied to get the new PR created.

[tkobayas]

If this PR is merged, ansible-rulebook rules can be visualized with the following demo apps:
https://github.com/tkobayas/rule-visualization-demo

• backend is drools-ansible-rulebook-integration-visualization exposing a quarkus rest endpoint that receives a RuleSet definition JSON and returns a topology graph JSON.
• frontend is a React app with patternfly/topology. Sends an example RuleSet definition JSON to the backend service and receives the topology graph JSON. Then renders the topology graph.

[pibizza]

I have added a comment on the test, but this is not a blocker for the PR. We can address the issue later.

[pibizza]

This test is very opaque. the input data are hidden and it is not clear which is the case that we are testing here. As an improvement I would strongly suggest to split the test into smaller pieces where you can expose the input data and show they map to output data.

[tkobayas]

@pibizza Thank you for the suggestion. I filed #5655 to improve the test case.

[tkobayas]

@mariofusco Please merge this PR, thanks!