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统计接口调用耗时_黑白名单配置

news 2025/7/31 21:43:43

黑名单配置

黑名单就是那些被禁止访问的URL
创建自定义过滤器 BlackListUrlFilter，并配置黑名单地址列表blacklistUrl
如果有其他需求，还可以实现自定义规则的过滤器来满足特定的过滤要求

/*** 黑名单过滤器** @author canghe*/
@Component
public class BlackListUrlFilter extends AbstractGatewayFilterFactory<BlackListUrlFilter.Config>
{@Overridepublic GatewayFilter apply(Config config){return (exchange, chain) -> {String url = exchange.getRequest().getURI().getPath();if (config.matchBlacklist(url)){return ServletUtils.webFluxResponseWriter(exchange.getResponse(), "请求地址不允许访问");}return chain.filter(exchange);};}public BlackListUrlFilter(){super(Config.class);}public static class Config{private List<String> blacklistUrl;private List<Pattern> blacklistUrlPattern = new ArrayList<>();public boolean matchBlacklist(String url){return !blacklistUrlPattern.isEmpty() && blacklistUrlPattern.stream().anyMatch(p -> p.matcher(url).find());}public List<String> getBlacklistUrl(){return blacklistUrl;}public void setBlacklistUrl(List<String> blacklistUrl){this.blacklistUrl = blacklistUrl;this.blacklistUrlPattern.clear();this.blacklistUrl.forEach(url -> {this.blacklistUrlPattern.add(Pattern.compile(url.replaceAll("\\*\\*", "(.*?)"), Pattern.CASE_INSENSITIVE));});}}}

在Nacos的pmhub-gateway-dev.yml 中配置需要拉黑的请求路径

**拦截之后结果如下 : **

白名单配置

白名单就是允许访问的地址。且无需登录就能访问
比如登录、注册接口，以及其他的不需要网关做鉴权的接口
在全局过滤器**AuthFilter**第一步就校验是否为白名单

```java // 跳过不需要验证的路径 if (StringUtils.matches(url, ignoreWhite.getWhites())) { return chain.filter(exchange); } ``` ![image.png](https://img-blog.csdnimg.cn/img_convert/039bd801d452b9b721ff2d031f1c0812.png)

**在 ****ignore**中设置 **whites**，表示允许匿名访问

统计接口调用耗时

在全局过滤器处理完其他操作之后再记录时间
全局过滤器: 1.白名单过滤 2.Token鉴权 3.设置用户信息到请求 4. 接口调用耗时

计算接口调用总耗时


return chain.filter(exchange).then(Mono.fromRunnable(()->{Long beginVisitTime = exchange.getAttribute(BEGIN_VISIT_TIME);if (beginVisitTime != null){log.info("访问接口主机: " + exchange.getRequest().getURI().getHost());log.info("访问接口端口: " + exchange.getRequest().getURI().getPort());log.info("访问接口URL: " + exchange.getRequest().getURI().getPath());log.info("访问接口URL参数: " + exchange.getRequest().getURI().getRawQuery());log.info("访问接口时长: " + (System.currentTimeMillis() - beginVisitTime) + "ms");log.info("我是美丽分割线: ###################################################");System.out.println();}
}));

感觉还是自带的计时工具好用一些, 不过不支持异步

/*** 统计耗时工具类, 这个只支持同步的耗时打印，不支持异步的场景** @author YiHui* @date 2023/11/10*/
public class StopWatchUtil {private StopWatch stopWatch;private StopWatchUtil(String task) {stopWatch = task == null ? new StopWatch() : new StopWatch(task);}/*** 初始化** @param task* @return*/public static StopWatchUtil init(String... task) {return new StopWatchUtil(task.length > 0 ? task[0] : null);}/*** 同步耗时计时** @param task 任务名* @param call 执行业务逻辑* @param <T>  返回类型* @return 返回结果*/public <T> T record(String task, Callable<T> call) {stopWatch.start(task);try {return call.call();} catch (Exception e) {throw new RuntimeException(e);} finally {stopWatch.stop();}}/*** 同步耗时计时** @param task 任务名* @param run  执行业务逻辑*/public void record(String task, Runnable run) {stopWatch.start(task);try {run.run();} finally {stopWatch.stop();}}/*** 计时信息输出** @return*/public String prettyPrint() {return stopWatch.prettyPrint();}
}

下面是一个使用**StopWatchUtil**的例子
先初始化**StopWatchUtil stopWatchUtil = StopWatchUtil.init("图片上传");**
再stopWatchUtil.record(“流转字节”, () -> StreamUtils.copyToByteArray(finalInput));
最后**log.info("图片上传耗时: {}", stopWatchUtil.prettyPrint());**

@Overridepublic String upload(InputStream input, String fileType) {// 记录耗时分布StopWatchUtil stopWatchUtil = StopWatchUtil.init("图片上传");try {if (fileType == null) {// 根据魔数判断文件类型InputStream finalInput = input;byte[] bytes = stopWatchUtil.record("流转字节", () -> StreamUtils.copyToByteArray(finalInput));input = new ByteArrayInputStream(bytes);fileType = getFileType((ByteArrayInputStream) input, fileType);}String path = imageProperties.getAbsTmpPath() + imageProperties.getWebImgPath();String fileName = genTmpFileName();InputStream finalInput = input;String finalFileType = fileType;FileWriteUtil.FileInfo file = stopWatchUtil.record("存储", () -> FileWriteUtil.saveFileByStream(finalInput, path, fileName, finalFileType));return imageProperties.buildImgUrl(imageProperties.getWebImgPath() + file.getFilename() + "." + file.getFileType());} catch (Exception e) {log.error("Parse img from httpRequest to BufferedImage error! e:", e);throw ExceptionUtil.of(StatusEnum.UPLOAD_PIC_FAILED);} finally {log.info("图片上传耗时: {}", stopWatchUtil.prettyPrint());}}