自动化测试代码项目流程实现

由于项目需要,写了版针对业务的自动化测试代码,主要应用场景在于由于业务日趋复杂,一些公共代码的改动,担心会影响已有业务。还没进行重写,但知识点还是不少的与大家分享实践下。首先,介绍下整个流处理的业务流程。

  首先 从网管实时接入数据到kafka,然后消息接入 进行预处理(这个过程是通过jetty框架,直接用servlet启动的项目,因为考虑到tomcat的并发不够,所以这样用。)随后预处理完 传入kafka,然后storm的不同的topo根据不同的传入类型,进行接入消息的规则匹配,规则是存在于前台的项目中,定时刷入redis(1分钟1刷) 随后加载用户卡数据、用户信息等(这些数据是每晚通过跑mapreduce任务生成的大宽表,直接导入redis),通过redis加载效率非常高,满足实时性(如果redis中不存在数据的情况下,会连接hbase,再进行查询) 随后进行业务处理(有时有些会调各个网管的接口,获取相应业务数据),随后将封装好的数据发总致下游通知拓扑,通知拓扑通过webservice或者restTemple发送值各个其他平台,比如微信,支付宝,短信等,最终将整个运行日志写入hbase。

  首先准备下一些需要的公共类,kafkaclient:

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private Properties properties;

    private String defaultTopic;

    private KafkaProducer producer;

    public void setProperties(Properties properties) {

        this.properties = properties;

    }

    public void setDefaultTopic(String defaultTopic) {

        this.defaultTopic = defaultTopic;

    }

    public void setProducer(KafkaProducer producer) {

        this.producer = producer;

    }

    public void init() {

        if (properties == null) {

            throw new NullPointerException("kafka properties is null.");

        }

        this.producer = new KafkaProducer(properties);

    }

    public void syncSend(V value) {

        ProducerRecord producerRecord = new ProducerRecord(defaultTopic, value);

        try {

            producer.send(producerRecord).get();

        catch (Exception e) {

            throw new RuntimeException(e);

        }

    }

    public void asyncSend(V value) {

        ProducerRecord producerRecord = new ProducerRecord(defaultTopic, value);

        producer.send(producerRecord);

    }

  HbaseUtil:

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private static final Logger logger = LoggerFactory.getLogger(HbaseResult.class);

    private Gson gson = new Gson();

     

    private HConnection connection = null;

    private Configuration conf = null;

    private String logFile = "D:/error.txt";

    public void init() throws IOException {

        logger.info("start init HBasehelper...");

        conf = HBaseConfiguration.create();

        connection = HConnectionManager.createConnection(conf);

        logger.info("init HBasehelper successed!");

    }

    public synchronized HConnection getConnection() throws IOException {

        if (connection == null) {

            connection = HConnectionManager.createConnection(conf);

        }

        return connection;

    }

    private synchronized void closeConnection() {

        if (connection != null) {

            try {

                connection.close();

            catch (IOException e) {

            }

        }

        connection = null;

    }

  kafkaClient主要负责将读取报文的信息发送至kafka,随之又topo自行运算,最终使用通过调用hbaseUtil,对相应字段的比对查询。

那么下面对整个自动化测试的流程进行说明:

  一、导入前台活动  由于是自动化测试,我们不可能每次都手工上下线,或在页面配置启用某个活动,所以通过直接调用前台系统 导入功能 的方法,将活动配置写入mysql数据库,并进行状态的切换。

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List codeList = new ArrayList();

      List activityIdList = new ArrayList();

     try {

       FileBody bin = new FileBody(new File("D:/activityTest/activity.ac"));

       InputStream in = bin.getInputStream();

       BufferedReader br = new BufferedReader(new InputStreamReader(in));

       String tr = null;

       while((tr = br.readLine())!=null){

           HttpPost httppost = new HttpPost("http://*********:8088/***/***/***/import");

           CloseableHttpClient httpclient = HttpClients.createDefault();

         ObjectMapper mapper = new ObjectMapper();

           ActivityConfig cloneActivity = null;

           cloneActivity = mapper.readValue(tr.toString(),ActivityConfig.class);

           List cloneActivitys = new ArrayList();//存放所有的活动

           cloneActivitys.add(cloneActivity);

              

           for (ActivityConfig cloneActivity1 : cloneActivitys) {

             String code = cloneActivity1.getCode();

               codeList.add(code);

           }

             HttpEntity reqEntity = MultipartEntityBuilder.create()

                     .addPart("file", bin)

                     .build();

             httppost.setEntity(reqEntity);

             System.out.println("executing request " + httppost.getRequestLine());

             CloseableHttpResponse response = httpclient.execute(httppost);

             System.out.println(response.getStatusLine());

             HttpEntity resEntity = response.getEntity();

             if (resEntity != null) {

                 System.out.println("Response content length: " + resEntity.getContentLength());

             }

             EntityUtils.consume(resEntity);

             response.close();

             httpclient.close();

       }

       for(String code : codeList){

         String code1 = "'" + code + "'";

           if(StringUtils.isNotEmpty(activityCode)){

             activityCode.append(",");

           }

       activityCode.append(code1);

        }
      }
      
return activityIdList;
    ]

二、读取准备好的报文数据(xml形式需通过解析,数据分隔符格式读取后直接发送至kafka)

public String readTxt() throws IOException{
        StringBuffer sendMessage = new StringBuffer();
        BufferedReader br = null;
        try {
            br = new BufferedReader(
                    new InputStreamReader(new FileInputStream(MessageText), "UTF-8"));
            String line = "";
            while((line = br.readLine()) != null){
                if (line.contains("

三、下来,我们需要将解析后的报文数据写入hbase的相应用户宽表、卡宽表中,以便storm拓扑中进行用户数据的加载,这里的rowkey为预分区过的。

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HbaseResult baseHelper = new HbaseResult();

baseHelper.init();

tableName = "CARD****";

rowkey = HTableManager.generatRowkey(cardNo);

data.put("*****""10019");

data.put("*****", cardNo);

data.put("*****", certNo);

data.put("*****""A");

data.put("*****""1019");

data.put("*****", supplementCardNo);

data.put("*****""10020");

data.put("*****", certNo);

data.put("*****", cardType);

data.put("*****", cardType);

data.put("*****", cardNo.substring(12,16));

data.put("*****""F");        

data.put("*****""ysy");

Put put = new Put(Bytes.toBytes(rowkey));

for (Entry rs : data.entrySet()) {

    put.add(HTableManager.DEFAULT_FAMILY_NAME, Bytes.toBytes(rs.getKey()), Bytes.toBytes(rs.getValue()));

}  

baseHelper.put(tableName, put);

System.out.println("rowkey:"+rowkey);

data.clear();

四、随后就可进行消息的发送(发送至集群的kafka)

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KafkaInit();

FSTConfiguration fstConf = FSTConfiguration.getDefaultConfiguration();

kafkaClient.syncSend(fstConf.asByteArray(kafkaData));

五、最终进行发送数据的字段对比(通过报文中的,预设的数据字段 与 最终输出的字段或结果进行对比,随后追加写入输出文件)

Result result = baseHelper.getResult("EVENT_LOG_DH", messageKey);
//对比字段
baseHelper.compareData(dataMap, result,activityCode);

public Result getResult(String tableName, String rowKey) throws IOException {
    Get get = new Get(Bytes.toBytes(rowKey));
    Result result = null;
    HTableInterface tableInterface = null;
    try {
        tableInterface = getConnection().getTable(tableName);
        result = tableInterface.get(get);
        return result;
         } catch (Exception e) {
             closeConnection();
        logger.error("", e);
         } finally {
             if (tableInterface != null) {
            tableInterface.close();
         }
}
public void compareData(Map messageData, Result res,List activityCode) throws IOException{
        List Messages = new ArrayList();
        for (Cell cell : res.rawCells()) {
            String qualifier = Bytes.toString(CellUtil.cloneQualifier(cell));
            if(Bytes.toString(CellUtil.cloneQualifier(cell)).equalsIgnoreCase("VARIABLESETS")){
                System.out.println(qualifier + "[" + new Gson().fromJson(Bytes.toString(CellUtil.cloneValue(cell)), Map.class) + "]");
                @SuppressWarnings("unchecked")
                Map data = gson.fromJson(Bytes.toString(CellUtil.cloneValue(cell)), Map.class);
                String message = "";
                for(String datakey : data.keySet()){
                    if(messageData.containsKey(datakey)){
                        
                        String dataValue = getString(data,datakey);
                        String messageValue = getString(messageData,datakey);
                        
                        if(datakey.equals("dh22")){
                            dataValue = dataValue.substring(0,dataValue.indexOf("."));
                            messageValue = messageValue.substring(0,messageValue.indexOf("."));
                        }
                        if(dataValue.equals(messageValue)){
                            message = datakey + " = " + dataValue + " 与报文中的 " + dataValue + "对比相同";
                            Messages.add(message);
                        }else{
                            message = datakey + " = " + dataValue + " 与报文中的 " + dataValue + "不一致!!!";
                            Messages.add(message);
                        }
                    }
                }
                
            }
            if(Bytes.toString(CellUtil.cloneQualifier(cell)).equalsIgnoreCase("NOTIFY__")){
                
            }
        }

        if(Messages.size() > 0){
            StringBuffer sb = new StringBuffer();
            for(String error : Messages){
                sb.append(error).append("\n");
            }
            FileWriter fw = new FileWriter(logFile,true);
            fw.write("\n----------------------");
            fw.write(sb.toString());
            fw.flush();
            fw.close();
        }else{
            String sb = "没有对不上的字段呀";
            FileWriter fw = new FileWriter(logFile);
            fw.write(sb);
            fw.flush();
            fw.close();
        }
    }

六、清除导入的数据等信息,整个流程结束~

public void delHbaseData(String cardNo,String certNo) throws IOException{
    String rowkeyCard = HTableManager.generatRowkey(cardNo) ;
    String rowKeyUse =  HTableManager.generatRowkey(certNo) ;
    Delete delData = null;
    HTableInterface tableInterface = null;
    String tableName = "";
    try {
        tableInterface = getConnection().getTable(tableName);
        tableInterface.delete(delData);
        }
            
        return;
    } catch (Exception e) {
        closeConnection();
        logger.error("", e);
        } finally {
    if (tableInterface != null) {
        tableInterface.close();
    }
    }
}

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