:src="prefix(item)"
时间: 2023-12-11 20:02:30 浏览: 31
这是一个 Vue.js 的指令,用于绑定 DOM 元素的属性。其中 `prefix` 是一个在 Vue 实例中定义的方法,用于返回一个字符串前缀,`item` 则是当前循环的数据项。具体调用的代码可能类似于:
```html
<div v-for="item in items" :src="prefix(item) + item.image"></div>
```
这个指令会将生成的 DOM 元素的 `src` 属性绑定为 `prefix(item) + item.image`。假设 `prefix(item)` 的返回值是 `https://example.com/images/`,`item.image` 的值是 `cat.png`,则最终绑定的 `src` 属性值为 `https://example.com/images/cat.png`。
相关问题
<body> <style> .demo-login-container{width: 320px; margin: 21px auto 0; margin-top: 10%} </style> <form class="layui-form" > <div class="demo-login-container"> <div class="layui-form-item"> <div class="layui-input-wrap"> <div class="layui-input-prefix"> <i class="layui-icon layui-icon-username"></i> </div> <input type="text" name="username" value="" lay-verify="required" placeholder="用户名" lay-reqtext="请填写用户名" autocomplete="off" class="layui-input" lay-affix="clear"> </div> </div> <div class="layui-form-item"> <div class="layui-input-wrap"> <div class="layui-input-prefix"> <i class="layui-icon layui-icon-password"></i> </div> <input type="password" name="password" value="" lay-verify="required" placeholder="密 码" lay-reqtext="请填写密码" autocomplete="off" class="layui-input" lay-affix="eye"> </div> </div> <div class="layui-form-item"> <button class="layui-btn layui-btn-fluid" lay-submit lay-filter="demo-login">登录</button> </div> </div> </form> <!-- 请勿在项目正式环境中引用该 layui.js 地址 --> <script> layui.use(function(){ var form = layui.form; var layer = layui.layer; // 提交事件 form.on('submit(demo-login)', function(data){ var field = data.field; // 获取表单字段值 // 显示填写结果,仅作演示用 layer.alert(JSON.stringify(field), { title: '当前填写的字段值' }); // 此处可执行 Ajax 等操作 // … return false; // 阻止默认 form 跳转 }); }); </script> </body>在上面的代码中需要添加一行文字:高压氧和一张自定义的图片A
<body> <style> .demo-login-container{width: 320px; margin: 21px auto 0; margin-top: 10%} </style> <form class="layui-form" > <div class="demo-login-container"> <div class="layui-form-item"> <div class="layui-input-wrap"> <div class="layui-input-prefix"> <i class="layui-icon layui-icon-username"></i> </div> <input type="text" name="username" value="" lay-verify="required" placeholder="用户名" lay-reqtext="请填写用户名" autocomplete="off" class="layui-input" lay-affix="clear"> </div> </div> <div class="layui-form-item"> <div class="layui-input-wrap"> <div class="layui-input-prefix"> <i class="layui-icon layui-icon-password"></i> </div> <input type="password" name="password" value="" lay-verify="required" placeholder="密 码" lay-reqtext="请填写密码" autocomplete="off" class="layui-input" lay-affix="eye"> </div> </div> <div class="layui-form-item"> <button class="layui-btn layui-btn-fluid" lay-submit lay-filter="demo-login">登录</button> </div> </div> <p>高压氧</p> <!-- 添加高压氧文字 --> <img src="https://example.com/custom-image.jpg"> <!-- 添加自定义图片 --> </form> <!-- 请勿在项目正式环境中引用该 layui.js 地址 --> <script> layui.use(function(){ var form = layui.form; var layer = layui.layer; // 提交事件 form.on('submit(demo-login)', function(data){ var field = data.field; // 获取表单字段值 // 显示填写结果,仅作演示用 layer.alert(JSON.stringify(field), { title: '当前填写的字段值' }); // 此处可执行 Ajax 等操作 // … return false; // 阻止默认 form 跳转 }); }); </script> </body>
mimiclogs-router-dmf-172.61.121.220-2022-12-15 {"event_header": ["V.1.0.0", "2022-12-16T12:14:03+08:00", "INFO", "process_id:2997; thread_id:140067355207424; line_id:1551", "dmf"], "event_entity": {"event_domain": "mimicrouter_control_panel", "event_action": "del_route", "event_object": "router_table", "event_service": "multimode_ruling_router_item", "event_status": "router_fail", "event_subject": " router_abnormal", "mimic_multimode_ruling.executor_info": ["169.254.2.102", "169.254.2.201", "169.254.2.202"], "mimicrouter.msg_src": "router_multimode_ruling", "mimicrouter.exception_time": "2022-12-16 12:13:37", "router_multimode_ruling": [{"router_multimode_ruling.exception_type": "redundant_route_item", "router_multimode_ruling.action": "del_route", "router_multimode_ruling.executor_id": "169.254.2.201", "router_multimode_ruling.executor_role": "slave", "router_multimode_ruling.prefix": "111.222.56.0", "router_multimode_ruling.mask": 24, "router_multimode_ruling.nexthop_info.nexthop": [""], "router_multimode_ruling.nexthop_info.ifname": [""], "router_multimode_ruling.nexthop_info.label": [[]]}]}} 帮我解析一下这段es数据,并用java写一段读取多条es数据,计算event_header和mimicrouter.exception_time差值平均值的代码
这段ES数据是一条日志记录,包含了事件头和事件实体。其中事件头包括版本号、时间戳、日志级别、进程ID、线程ID和日志来源等信息;事件实体包括事件域、事件动作、事件对象、事件服务、事件状态、事件主题、执行者信息、消息来源、异常时间和多模式路由器等信息。
以下是Java代码示例,用于读取多条ES数据并计算event_header和mimicrouter.exception_time差值平均值:
```java
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class ESReader {
private RestHighLevelClient client;
public ESReader(RestHighLevelClient client) {
this.client = client;
}
public double getAvgTimestampDiff(String index) throws IOException {
SearchRequest searchRequest = new SearchRequest(index);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
searchSourceBuilder.size(1000); // 最多返回1000条数据
searchSourceBuilder.timeout(TimeValue.timeValueSeconds(5)); // 查询超时时间
searchRequest.source(searchSourceBuilder);
SearchResponse searchResponse = client.search(searchRequest);
SearchHit[] searchHits = searchResponse.getHits().getHits();
List<Long> timestampDiffs = new ArrayList<>();
for (SearchHit searchHit : searchHits) {
String timestampStr = searchHit.getSourceAsMap().get("event_header").toString().split(",")[1];
long timestamp = java.sql.Timestamp.valueOf(timestampStr.substring(1, timestampStr.length() - 1)).getTime();
String exceptionTimeStr = searchHit.getSourceAsMap().get("mimicrouter.exception_time").toString();
long exceptionTime = java.sql.Timestamp.valueOf(exceptionTimeStr.replace(" ", "T")).getTime();
timestampDiffs.add(exceptionTime - timestamp);
}
double avgTimestampDiff = timestampDiffs.stream().mapToLong(Long::longValue).average().orElse(0.0);
return avgTimestampDiff;
}
}
```
该代码使用了Elasticsearch的Java High Level REST Client,通过查询ES索引获取多条数据。然后,根据每条数据的event_header和mimicrouter.exception_time计算时间差,并求平均值。其中,timestamp和exceptionTime需要根据具体数据格式进行调整。