8:42 p.m.
You can register a custom strategy like this:
Environment env = KnowledgeBaseFactory.newEnvironment();
env.set(EnvironmentName.ENTITY_MANAGER_FACTORY, emf);
env.set(EnvironmentName.TRANSACTION_MANAGER,
TransactionManagerServices.getTransactionManager());
ObjectMarshallingStrategy[] objectMarshalingStrategies = new
ObjectMarshallingStrategy[] {
new ProcessInstanceMarshallingStrategy(env)
};
env.set(EnvironmentName.OBJECT_MARSHALLING_STRATEGIES,
objectMarshalingStrategies);
StatefulKnowledgeSession ksession =
JPAKnowledgeService.newStatefulKnowledgeSession(kbase, null, env);
... and then define the strategy as ...
private static class ProcessInstanceMarshallingStrategy implements
ObjectMarshallingStrategy {
private Environment environment;
public ProcessInstanceMarshallingStrategy(Environment environment) {
this.environment = environment;
}
public boolean accept(Object o) {
return o instanceof ProcessInstance;
}
public Object read(ObjectInputStream ois) throws IOException,
ClassNotFoundException {
long id = ois.readLong();
return ((ProcessRuntime)
environment.get("ksession")).getProcessInstance(id);
}
public void write(ObjectOutputStream oos, Object o) throws IOException {
oos.writeLong(((ProcessInstance) o).getId());
}
}
Note that this strategy only works for active process instances (so you
need to make sure they are removed from the working memory before ending
the process instance, for example by using an on-entry/exit action. I
think we will probably build in this strategy by default in the future.
Could you clarify why you need the processInstance in the working
memory? As there might be an easier alternative?
Kris
Quoting PremKumar s <premkumar.sivanandan(a)gmail.com>:
Thanks Kris for your input. It would be great if you could share us
on
sample code snippet how to acheive this ObjectMarshallingStrategy
for
ProcessInstances .
Also confirm us by using this approach the process is avialable for
drools
rule constraints to take decisions.
Thanks
Prem
On Thu, Oct 8, 2009 at 4:07 PM, Kris Verlaenen <
kris.verlaenen(a)cs.kuleuven.be> wrote:
> This is indeed a special case. Process instances are already
stored as
> part of the session runtime state, so no need to store them again
as
> part of the working memory. You need to register a custom
> ObjectMarshallingStrategy for ProcessInstances in the working
memory
> that simply retrieves them from the session state.
>
> Kris
>
> Quoting PremKumar s <premkumar.sivanandan(a)gmail.com>:
>
> > Hi,
> >
> >
> >
> > I am evaluating the drools expert with drool flow using
> > TimeManagement
> > System. I am inserting the process instance into working memory
of
> > drools
> > [session.insert(workflowProcessInstance)] So that the rules can
use
> > the
> > process instance as part of Rule constraints to enable the rules
to
> > make
> > more sophisticated decisions based on the state of the current
> > process
> > instance.
> >
> >
> >
> > Rule snippet
> >
> >
> >
> > rule "Submit Time" ruleflow-group "Submit Time"
> > dialect "java"
> > when
> >
> > processInstance:WorkflowProcessInstance()
> >
> > tkRequest:TKRequest ()
> > tkRequestDAO:TKRequestDAO()
> > then
> >
> > // check the current processInstance state
as
> > Active
> > then do that
> >
> > //Do custom operation, status change,
> > persistence
> > update
> >
> > end
> >
> >
> >
> > The approach is works fine with using
> > KnowledgeBuilder.newStatefulKnowledgeSession() that is no
> > persistence. But
> > once i have enabled the Persistence using
> > JPAKnowledgeService.newStatefulKnowledgeSession(know, null,
> > getEnvironment()) it throws stack over flow error due the
> > workflowProcessInstance is not serialized while trying to persist
the
> > newly
> > added workflowProcessInstance to working memory.
> >
> >
> >
> > Once i have commented the
> > session.insert(workflowProcessInstance)
> > the stack overflow error is gone but none of my rules are not
> > executed.
> >
> >
> >
> > Can some one provide guidance on how to pass this
> > workflowProcessInstance to
> > rule constriant with persistence JPAKnowledgeSession enabled.
> >
> >
> >
> > Thanks
> >
> > Prem
> >
>
>
>
>
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