解析字符

客官°小女子只卖身不卖艺 2022-02-19 13:15 196阅读 0赞

将下图中的字符进行拆分抓取解析  
![在这里插入图片描述][20190515103627469.png]  
这块没有写实体类  
实现类

public List<Policy> excute(String input){
            // 这块为匹配的正则表达式
            String pattern = "Rule Name\\s+Hit Count\\s+Timestamp\\n-+\\n[\\w\\s:]+\\n([\\w\\s.-]+)";
    
    		// 将给定的正则表达式编译为给定标志的模式，创建一个匹配器，改匹配器将根据此模式匹配给定的输入
            Matcher matcher = Pattern.compile(pattern,Pattern.MULTILINE).matcher(input);
            List<Policy> policyList = new ArrayList<>();
            String content = "";
            if (matcher.find()){
            	// 第一组
                content = matcher.group(1);
                // 以/n进行分割
                String[] strings = content.split("\n");
                
                // 第一个正则为第一列的第二个正则为紧挨着的空格以此类推
                String p = "(\\S+)(\\s+)(\\S+)(\\s+)(\\S+)(\\s+)";
                
                for (int i = 0; i < strings.length; i++){
                    Matcher ms = Pattern.compile(p).matcher(strings[i]);
                    while (ms.find()){
                    	// 获取到Rule Name列
                        String name = ms.group(1);
    					
    					// 获取到Hit Count列
                        String count = ms.group(3);
    
    					// 获取到Timestamp列
                        String timestamp = ms.group(5);
                        policyList.add(new Policy.Builder().setHitCount(Integer.parseInt(count)).setName(name).setTimeStamp(timestamp).build());
                    }
                }
                return policyList;
            }
            return null;
        }

测试类

@Test
        public void testRegex(){
            String input = "这块写的是将下列字符串查询出来的命令\n" +
                    "\n" +
                    "Rule Name\t\t\t\t\tHit Count\t\t\t\t\tTimestamp\n" +
                    "--------------------------------------------------------------------------------\n" +
                    "Slot 1 DP 0:\n" +
                    "zone111\t\t\t\t\t0\t\t\t\t\t-\t\t\t\t\t\n" +
                    "any_2_trust\t\t\t\t\t0\t\t\t\t\t-\t\t\t\t\t\n" +
                    "l3_2_l3_93a4f\t\t\t\t\t0\t\t\t\t\t-\t\t\t\t\t\n" +
                    "intrazone-default\t\t\t\t\t0\t\t\t\t\t-\t\t\t\t\t\n" +
                    "interzone-default\t\t\t\t\t0\t\t\t\t\t-\t\t\t\t\t";
            List<Policy> list = new PolicyMappingRegex().excute(input);
        }

[20190515103627469.png]: /images/20220219/25a5ed60957b4cdd8f0a6ff92c58ace9.png