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// GPars - Groovy Parallel Systems
//
// Copyright © 2008-11 The original author or authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package groovyx.gpars.samples.dataflow.kanban
import groovyx.gpars.dataflow.DataflowQueue
import groovyx.gpars.dataflow.KanbanFlow
import java.util.concurrent.atomic.AtomicInteger
import static groovyx.gpars.dataflow.ProcessingNode.node
/**
* A -> B,C flow with one producer and two consumers(broadcast)
*/
AtomicInteger count = new AtomicInteger(0) // needed to create some products
DataflowQueue results = new DataflowQueue() // needed to assert collected products
KanbanFlow flow = new KanbanFlow()
def reporter = { above -> results << above.take() }
def producer = node { down1, down2 ->
def val = count.andIncrement
down1 << val
down2 << val
}
def consumer1 = node(reporter)
def consumer2 = node(reporter)
flow.link(producer).to(consumer1)
flow.link(producer).to(consumer2)
flow.start()
4.times { println 'Generated: ' + results.val } // "worst" case of scheduling when one consumer is always faster
flow.stop()