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1   /*
2    * JBoss, Home of Professional Open Source
3    * Copyright 2014, Red Hat, Inc. and/or its affiliates, and individual
4    * contributors by the @authors tag. See the copyright.txt in the
5    * distribution for a full listing of individual contributors.
6    *
7    * Licensed under the Apache License, Version 2.0 (the "License");
8    * you may not use this file except in compliance with the License.
9    * You may obtain a copy of the License at
10   * http://www.apache.org/licenses/LICENSE-2.0
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.jboss.as.quickstarts.numberguess;
18  
19  import java.io.Serializable;
20  
21  import javax.enterprise.context.ApplicationScoped;
22  import javax.enterprise.inject.Produces;
23  
24  /**
25   * <p>
26   * Random number generator.
27   * </p>
28   * 
29   * <p>
30   * Placing the random number generation, as well as the configuring the maximum number allows for a more loosely coupled
31   * application. We can now change out the implementation of number generation without any effect on the client code. We also
32   * produce a more intuitive design - both are identifed by the fact they are numbers (int) and that they are qualified as the
33   * maximum number or a random number.
34   * </p>
35   * 
36   * <p>
37   * We use the application scope to store the random number generator so that we use the same seed.
38   * </p>
39   * 
40   * @author Pete Muir
41   * 
42   */
43  @SuppressWarnings("serial")
44  @ApplicationScoped
45  public class Generator implements Serializable {
46  
47      private java.util.Random random = new java.util.Random(System.currentTimeMillis());
48  
49      private int maxNumber = 100;
50  
51      java.util.Random getRandom() {
52          return random;
53      }
54  
55      @Produces
56      @Random
57      int next() {
58          // a number between 1 and 100
59          return getRandom().nextInt(maxNumber - 1) + 1;
60      }
61  
62      @Produces
63      @MaxNumber
64      int getMaxNumber() {
65          return maxNumber;
66      }
67  }