如何使用TPTP中的IDatapool

本文介绍如何使用Java代码读取和编辑Rational Datapools中的TPTP格式数据池,包括读取数据池内容、捕获列头信息、遍历数据池并修改值的操作。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

原文地址:http://www.ibm.com/developerworks/rational/library/programmatically-modify-rational-datapools/index.html

The Java code snippet in Listing 7 displays a simple example of reading a TPTP format datapool.


Listing 7. TPTP datapool, example
// set the Datapool File value
    File inputTptpFile = new File(
        "/Datapool_Workspace/Common/datapool/TPTP_Datapool.datapool");
    System.out.println("Read a TPTP (RPT/RST) format Datapool: " + 
        inputTptpFile.getAbsolutePath());

    try {
        // create an IDatapoolFactory object
        IDatapoolFactory tptpDatapoolFactory = new Common_DatapoolFactoryImpl();
        // create an Datapool object
        IDatapool tptpDatapool = 
            (IDatapool) tptpDatapoolFactory.load(inputTptpFile, true);

        // capture the Datapool column header values 
        int datapoolColumnCount = tptpDatapool.getVariableCount();
        String[] header = new String[datapoolColumnCount];
        aStringBuilder.append("\nHEADER  :: ");
        for (int i = 0; i < datapoolColumnCount; i++) {
            header[i] = tptpDatapool.getVariable(i).getName();
            aStringBuilder.append(header[i] + " :: ");
        }
        System.out.println(aStringBuilder.toString());

        // Create an IDatapoolIterator object and populate with 
        //    the Datapool as an iterator
        IDatapoolIterator tptpDatapoolIterator = tptpDatapoolFactory.
            open(tptpDatapool, 
        "org.eclipse.hyades.datapool.iterator.DatapoolIteratorSequentialPrivate");

        // initialize datapool iterator    
        tptpDatapoolIterator.dpInitialize(tptpDatapool, 0);
        int count = 1; // int counter for demonstration purposes only
        while(!tptpDatapoolIterator.dpDone()) {
            // reset the temporary container for captured values
            aStringBuilder.setLength(0);
            aStringBuilder.append("ROW #" + count + "  :: ");
            String[] nextRow = new String[datapoolColumnCount];
            for (int i = 0; i < datapoolColumnCount; i++) {
                /* NOTE: this example assumes value to be of type String
                 *    value can be captured via:
                 *    IDatapool.getVariable(int).getSuggestedType() */
                nextRow[i] = tptpDatapoolIterator.dpCurrent().getCell(
                    header[i]).getStringValue();
                aStringBuilder.append(nextRow[i] + " :: ");
            }
            tptpDatapoolIterator.dpNext();
            count++;
            System.out.println(aStringBuilder.toString());
            // unload the Datapool
            tptpDatapoolFactory.unload(tptpDatapool);
        }
    } catch (DatapoolException e) {
        e.printStackTrace();
    }

This is a simple approach to capturing the contents of a TPTP format datapool and, in this case, writing it to the console. At this point, you can iterate through your datapool, using the values as you see fit, or build in logic to perform a search for specific values. Field types can also be captured to ensure integrity of data types when updating the values.

Updating a TPTP datapool

The datapool reader program uses this class:
org.eclipse.hyades.execution.runtime.datapool.IDatapool

To extend the above program that reads a datapool to directly edit the datapool, use this class:
org.eclipse.hyades.edit.datapool.IDatapool

This is part of the TPTP internal API (see the Public API Specification for reference).

Minor modifications to this code will give you the ability to perform modifications to the datapool. The first item of note to perform anedit rather than a read is changing the references in the import section of the program.


Listing 8. TPTP datapool edit imports
        /* NOTE: To update a Datapool the edit version of the classes must be used */
        import org.eclipse.hyades.edit.datapool.IDatapool;
        import org.eclipse.hyades.edit.datapool.IDatapoolFactory;
        //import org.eclipse.hyades.execution.runtime.datapool.IDatapool;
        //import org.eclipse.hyades.execution.runtime.datapool.IDatapoolFactory;

The edit classes behave slightly different from the runtime classes. The first notable change is located at the start of the try or catch block, as the example in Listing 9 shows.


Listing 9. TPTP datapool edit instantiation
        try {
            // create an org.eclipse.hyades.edit.datapool.IDatapoolFactory object
            IDatapoolFactory tptpDatapoolFactory = new Common_DatapoolFactoryImpl();
            // create an org.eclipse.hyades.edit.datapool.IDatapool object
            IDatapool tptpDatapool = (IDatapool) tptpDatapoolFactory.loadForEdit(
                inputTptpFile, true);

When creating the IDatapool object, the file is loaded through the loadForEdit(File, Boolean) method. Also, when creating the IDatapoolIterator, different behavior is found in the edit classes (Listing 10).


Listing 10. TPTP datapool edit iterator
                /* Create an IDatapoolIterator object and populate with the Datapool 
             *     as an iterator
             * NOTE: for edit variations of the IDatapool* objects the IDatapoolFactory
             *     must be cast to "Common_DatapoolFactoryImpl" to make the appropriate 
             * open(IDatapool, String) method visible*/
            IDatapoolIterator tptpDatapoolIterator = 
               ((Common_DatapoolFactoryImpl)tptpDatapoolFactory).open(tptpDatapool, 
               "org.eclipse.hyades.datapool.iterator.DatapoolIteratorSequentialPrivate");

As the comment states, the IDatapoolFactory must be cast to Common_DatapoolFactoryImpl to provide access to the open(IDatapool, String) method. The code snippet in Listing 1 illustrates the capture of a specific cell in the datapool, and then changing the value.


Listing 11. TPTP datapool edit iteration
                for (int i = 0; i < datapoolColumnCount; i++) {
                // look for the last column in the Datapool -- to be updated
                if (i + 1 == tptpDatapool.getVariableCount()) {
                    // create a new value
                    String newCellValue = "Updated value for row " + count +
                        " at " + dateFormat.format(new Date().getTime());
                    // capture the cell as an IDatapoolCell
                    IDatapoolCell aCell = (IDatapoolCell)tptpDatapoolIterator.
                        dpCurrent().getCell(header[i]);
                    aCell.setCellValue(newCellValue);
                    // sleep to demonstrate timestamp update in Datapool
                    Thread.sleep(1000);
                }
                nextRow[i] = tptpDatapoolIterator.dpCurrent().
                    getCell(header[i]).getStringValue();

After processing the datapool, perform a save and unload on the datapool (Listing 12).


Listing 12. TPTP datapool edit finalization
                // save updates to the Datapool file 
                tptpDatapoolFactory.save(tptpDatapool); 
                tptpDatapoolFactory.unload(tptpDatapool);

资源下载链接为: https://pan.quark.cn/s/22ca96b7bd39 在当今的软件开发领域,自动化构建与发布是提升开发效率和项目质量的关键环节。Jenkins Pipeline作为一种强大的自动化工具,能够有效助力Java项目的快速构建、测试及部署。本文将详细介绍如何利用Jenkins Pipeline实现Java项目的自动化构建与发布。 Jenkins Pipeline简介 Jenkins Pipeline是运行在Jenkins上的一套工作流框架,它将原本分散在单个或多个节点上独立运行的任务串联起来,实现复杂流程的编排与可视化。它是Jenkins 2.X的核心特性之一,推动了Jenkins从持续集成(CI)向持续交付(CD)及DevOps的转变。 创建Pipeline项目 要使用Jenkins Pipeline自动化构建发布Java项目,首先需要创建Pipeline项目。具体步骤如下: 登录Jenkins,点击“新建项”,选择“Pipeline”。 输入项目名称和描述,点击“确定”。 在Pipeline脚本中定义项目字典、发版脚本和预发布脚本。 编写Pipeline脚本 Pipeline脚本是Jenkins Pipeline的核心,用于定义自动化构建和发布的流程。以下是一个简单的Pipeline脚本示例: 在上述脚本中,定义了四个阶段:Checkout、Build、Push package和Deploy/Rollback。每个阶段都可以根据实际需求进行配置和调整。 通过Jenkins Pipeline自动化构建发布Java项目,可以显著提升开发效率和项目质量。借助Pipeline,我们能够轻松实现自动化构建、测试和部署,从而提高项目的整体质量和可靠性。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值