[monitor] 支持网站监控类型,降低雪花算法UUID最大值解决ts json解析大数问题
This commit is contained in:
@@ -5,10 +5,6 @@ import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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import org.springframework.boot.autoconfigure.kafka.KafkaAutoConfiguration;
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import java.net.DatagramPacket;
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import java.net.DatagramSocket;
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import java.net.InetAddress;
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/**
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* collector start
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* @author tomsun28
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@@ -19,20 +15,5 @@ import java.net.InetAddress;
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public class Collector {
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public static void main(String[] args) {
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SpringApplication.run(Collector.class, args);
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// DatagramSocket s = new DatagramSocket();
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//
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// /** 2、提供数据,封装打包 ---DatagramPacket(byte[] buf, int length, InetAddress address, int port) */
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//
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// byte[] bs = "正在使用UDP发送--我是数据! ".getBytes();
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// DatagramPacket dp = new DatagramPacket(bs, bs.length, InetAddress.getByName("192.168.1.189"), 8070);
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//
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// /** 3、使用send发送 */
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// try {
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// s.send(dp);
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// s.receive(dp)
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// } catch (IOException e) {
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// System.out.println("发送失败: ");
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// e.printStackTrace();
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// }
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}
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}
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@@ -7,6 +7,7 @@ import com.google.gson.JsonParser;
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import com.usthe.collector.collect.AbstractCollect;
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import com.usthe.collector.common.http.HttpClientPool;
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import com.usthe.collector.dispatch.DispatchConstants;
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import com.usthe.collector.util.CollectorConstants;
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import com.usthe.collector.util.JsonPathParser;
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import com.usthe.common.entity.job.Metrics;
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import com.usthe.common.entity.job.protocol.HttpProtocol;
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@@ -56,6 +57,7 @@ public class HttpCollectImpl extends AbstractCollect {
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@Override
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public void collect(CollectRep.MetricsData.Builder builder,
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long appId, String app, Metrics metrics) {
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long startTime = System.currentTimeMillis();
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// 简单校验必有参数
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if (metrics == null || metrics.getHttp() == null) {
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builder.setCode(CollectRep.Code.FAIL);
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@@ -84,18 +86,21 @@ public class HttpCollectImpl extends AbstractCollect {
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builder.setMsg("statusCode: " + statusCode + ",entity empty.");
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return;
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}
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Long responseTime = System.currentTimeMillis() - startTime;
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String parseType = metrics.getHttp().getParseType();
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try {
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if (DispatchConstants.PARSE_DEFAULT.equals(parseType)) {
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parseResponseByDefault(resp, metrics.getAliasFields(), builder);
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parseResponseByDefault(resp, metrics.getAliasFields(), builder, responseTime);
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} else if (DispatchConstants.PARSE_JSON_PATH.equals(parseType)) {
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parseResponseByJsonPath(resp, metrics.getAliasFields(), metrics.getHttp(), builder);
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parseResponseByJsonPath(resp, metrics.getAliasFields(), metrics.getHttp(), builder, responseTime);
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} else if (DispatchConstants.PARSE_PROMETHEUS.equals(parseType)) {
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parseResponseByPrometheus(resp, metrics.getAliasFields(), metrics.getHttp(), builder);
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} else if (DispatchConstants.PARSE_XML_PATH.equals(parseType)) {
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parseResponseByXmlPath(resp, metrics.getAliasFields(), metrics.getHttp(), builder);
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} else if (DispatchConstants.PARSE_WEBSITE.equals(parseType)){
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parseResponseByWebsite(resp, metrics.getAliasFields(), builder, responseTime);
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} else {
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parseResponseByDefault(resp, metrics.getAliasFields(), builder);
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parseResponseByDefault(resp, metrics.getAliasFields(), builder, responseTime);
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}
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} catch (Exception e) {
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log.info("parse error: {}.", e.getMessage(), e);
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@@ -140,13 +145,26 @@ public class HttpCollectImpl extends AbstractCollect {
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}
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}
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private void parseResponseByWebsite(String resp, List<String> aliasFields,
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CollectRep.MetricsData.Builder builder, Long responseTime) {
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CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
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// todo resp 网站关键字监测
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for (String alias : aliasFields) {
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if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
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valueRowBuilder.addColumns(responseTime.toString());
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} else {
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valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
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}
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}
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builder.addValues(valueRowBuilder.build());
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}
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private void parseResponseByXmlPath(String resp, List<String> aliasFields, HttpProtocol http,
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CollectRep.MetricsData.Builder builder) {
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}
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private void parseResponseByJsonPath(String resp, List<String> aliasFields, HttpProtocol http,
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CollectRep.MetricsData.Builder builder) {
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CollectRep.MetricsData.Builder builder, Long responseTime) {
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List<Map<String, Object>> results = JsonPathParser.parseContentWithJsonPath(resp,http. getParseScript());
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for (Map<String, Object> stringMap : results) {
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CollectRep.ValueRow.Builder valueRowBuilder = CollectRep.ValueRow.newBuilder();
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@@ -155,7 +173,11 @@ public class HttpCollectImpl extends AbstractCollect {
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if (value != null) {
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valueRowBuilder.addColumns(String.valueOf(value));
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} else {
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valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
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if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
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valueRowBuilder.addColumns(responseTime.toString());
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} else {
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valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
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}
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}
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}
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builder.addValues(valueRowBuilder.build());
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@@ -167,7 +189,8 @@ public class HttpCollectImpl extends AbstractCollect {
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}
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private void parseResponseByDefault(String resp, List<String> aliasFields, CollectRep.MetricsData.Builder builder) {
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private void parseResponseByDefault(String resp, List<String> aliasFields,
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CollectRep.MetricsData.Builder builder, Long responseTime) {
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JsonElement element = JsonParser.parseString(resp);
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if (element.isJsonArray()) {
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JsonArray array = element.getAsJsonArray();
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@@ -181,7 +204,11 @@ public class HttpCollectImpl extends AbstractCollect {
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String value = valueElement.getAsString();
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valueRowBuilder.addColumns(value);
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} else {
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valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
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if (CollectorConstants.RESPONSE_TIME.equalsIgnoreCase(alias)) {
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valueRowBuilder.addColumns(responseTime.toString());
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} else {
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valueRowBuilder.addColumns(CommonConstants.NULL_VALUE);
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}
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}
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}
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builder.addValues(valueRowBuilder.build());
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@@ -283,6 +310,8 @@ public class HttpCollectImpl extends AbstractCollect {
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} else if (DispatchConstants.PARSE_PROMETHEUS.equals(httpProtocol.getParseType())) {
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requestBuilder.addHeader(HttpHeaders.ACCEPT, DispatchConstants.PARSE_PROMETHEUS_ACCEPT);
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requestBuilder.addHeader(HttpHeaders.ACCEPT_ENCODING, "gzip");
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} else {
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requestBuilder.addHeader(HttpHeaders.ACCEPT, "*/*");
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}
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// 判断是否使用Bearer Token认证
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@@ -56,6 +56,10 @@ public interface DispatchConstants {
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* 解析方式 自定义xml path
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*/
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String PARSE_XML_PATH = "xmlPath";
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/**
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* 解析方式 网站可用性监控规则 提供responseTime指标
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*/
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String PARSE_WEBSITE = "website";
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/**
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* 解析方式 prometheus规则
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*/
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@@ -0,0 +1,11 @@
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package com.usthe.collector.util;
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/**
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* collector 常量
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* @author tom
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* @date 2021/12/3 12:15
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*/
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public interface CollectorConstants {
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String RESPONSE_TIME = "responseTime";
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}
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@@ -10,7 +10,7 @@ public class SnowFlakeIdGenerator {
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private final static SnowFlakeIdWorker ID_WORKER;
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static {
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ID_WORKER = new SnowFlakeIdWorker(1, 0);
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ID_WORKER = new SnowFlakeIdWorker(0);
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}
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public static long generateId() {
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@@ -2,6 +2,7 @@ package com.usthe.common.util;
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/**
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* 雪花算法生成器实例
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* 注意 由于前端JS TS 在json解析大数会造成精度丢失 UUID 不能超过 9007199254740991(16位)
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* @author from https://www.cnblogs.com/vchar/p/14857677.html
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* @date 2021/11/10 10:58
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*/
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@@ -15,12 +16,12 @@ public class SnowFlakeIdWorker {
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/**
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* 机器 ID 所占的位数
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*/
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private static final long WORKER_ID_BITS = 5L;
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private static final long WORKER_ID_BITS = 2L;
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/**
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* 数据标识 ID 所占的位数
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*/
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private static final long DATA_CENTER_ID_BITS = 5L;
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private static final long DATA_CENTER_ID_BITS = 4L;
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/**
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* 支持的最大机器ID,最大为31
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@@ -0,0 +1,22 @@
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package com.usthe.common.util;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.Test;
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import static org.junit.jupiter.api.Assertions.*;
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/**
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* @author tom
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* @date 2021/12/3 13:28
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*/
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class SnowFlakeIdGeneratorTest {
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@Test
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void generateId() {
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// 注意 由于前端JS TS 在json解析大数会造成精度丢失 UUID 不能超过 9007199254740991(16位)
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for (int i = 0; i < 1000; i++) {
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long id = SnowFlakeIdGenerator.generateId();
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Assertions.assertTrue(id < 9007199254740991L);
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}
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}
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}
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@@ -13,7 +13,8 @@ configmap:
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type: 2
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# 指标组列表
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metrics:
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# 第一个监控指标组 cpu
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# 第一个监控指标组 cpu
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# 注意:内置监控指标有 (responseTime - 响应时间)
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- name: cpu
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# 指标组调度优先级(0-127)越小优先级越高,优先级低的指标组会等优先级高的指标组采集完成后才会被调度,相同优先级的指标组会并行调度采集
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# 优先级为0的指标组为可用性指标组,即它会被首先调度,采集成功才会继续调度其它指标组,采集失败则中断调度
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@@ -74,7 +75,8 @@ metrics:
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type: Basic Auth
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basicAuthUsername: ^_^username^_^
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basicAuthPassword: ^_^password^_^
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# 响应数据解析方式: default-系统规则,jsonPath-jsonPath脚本,xmlPath-xmlPath脚本,prometheus-Prometheus数据规则
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# 响应数据解析方式: default-系统规则,jsonPath-jsonPath脚本,website-网站可用性指标监控
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# todo xmlPath-xmlPath脚本,prometheus-Prometheus数据规则
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parseType: jsonPath
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parseScript: '$'
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56
manager/src/main/resources/define/app/api.yml
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56
manager/src/main/resources/define/app/api.yml
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@@ -0,0 +1,56 @@
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# 监控应用类型名称(与文件名保持一致) eg: linux windows tomcat mysql aws...
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app: api
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# 参数映射map. type是参数类型: 0-number数字, 1-string明文字符串, 2-secret加密字符串
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# 强制固定必须参数 - host
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configmap:
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- key: host
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type: 1
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- key: port
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type: 0
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- key: uri
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type: 1
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- key: method
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type: 1
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- key: ssl
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type: 1
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- key: username
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type: 1
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- key: password
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type: 2
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# 指标组列表
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metrics:
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# 第一个监控指标组 cpu
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# 注意:内置监控指标有 (responseTime - 响应时间)
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- name: summary
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# 指标组调度优先级(0-127)越小优先级越高,优先级低的指标组会等优先级高的指标组采集完成后才会被调度,相同优先级的指标组会并行调度采集
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# 优先级为0的指标组为可用性指标组,即它会被首先调度,采集成功才会继续调度其它指标组,采集失败则中断调度
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priority: 0
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# 指标组中的具体监控指标
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fields:
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# 指标信息 包括 field名称 type字段类型:0-number数字,1-string字符串 instance是否为实例主键 unit:指标单位
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- field: responseTime
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type: 0
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unit: ms
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# 监控采集使用协议 eg: sql, ssh, http, telnet, wmi, snmp, sdk
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protocol: http
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# 当protocol为http协议时具体的采集配置
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http:
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# 主机host: ipv4 ipv6 域名
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host: ^_^host^_^
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# 端口
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port: ^_^port^_^
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# url请求接口路径
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url: ^_^uri^_^
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# 请求方式 GET POST PUT DELETE PATCH
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method: ^_^method^_^
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# 是否启用ssl/tls,即是http还是https,默认false
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ssl: false
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# 认证
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authorization:
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# 认证方式: Basic Auth, Digest Auth, Bearer Token
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type: Basic Auth
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basicAuthUsername: ^_^username^_^
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basicAuthPassword: ^_^password^_^
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# 响应数据解析方式: default-系统规则,jsonPath-jsonPath脚本,website-网站可用性指标监控
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# todo xmlPath-xmlPath脚本,prometheus-Prometheus数据规则
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parseType: website
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47
manager/src/main/resources/define/param/api.yml
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47
manager/src/main/resources/define/param/api.yml
Normal file
@@ -0,0 +1,47 @@
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# 监控应用类型名称(与文件名保持一致) eg: linux windows tomcat mysql aws...
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app: api
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# 强制固定必须参数 - host(ipv4,ipv6,域名)
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param:
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# field-字段名称标识符
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- field: host
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# name-参数字段显示名称
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name: 主机Host
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# type-字段类型,样式(大部分映射input标签type属性)
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type: host
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# 是否是必输项 true-必填 false-可选
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required: true
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- field: port
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name: 端口
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type: number
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# 当type为number时,用range表示范围
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range: '[0,65535]'
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required: true
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- field: uri
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name: URI路径
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type: text
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# 当type为text时,用limit表示字符串限制大小
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limit: 100
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required: true
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- field: method
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name: 请求方式
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type: text
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# 当type为text时,用limit表示字符串限制大小
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limit: 20
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required: true
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- field: username
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name: 用户名
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type: text
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# 当type为text时,用limit表示字符串限制大小
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limit: 20
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required: false
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- field: password
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name: 密码
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type: password
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required: false
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- field: ssl
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name: 使用SSL
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type: boolean
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required: true
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# 当type为boolean时,前端用switch展示开关
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# 当type为radio单选框,checkbox复选框时,option表示可选项值列表
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# option: Yes,No
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@@ -10,6 +10,7 @@ resourceRole:
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# load api resource which do not need be protected, means them need be excluded.
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# these api resource can be access by everyone
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excludedResource:
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- /**===*
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- /account/auth/form===post
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- /**/*.html===get
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- /**/*.js===get
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@@ -102,7 +102,7 @@ export class MonitorNewComponent implements OnInit {
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"params": this.params
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};
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this.isSpinning = true;
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this.monitorSvc.newMonitor(detectMonitor)
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this.monitorSvc.detectMonitor(detectMonitor)
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.subscribe(message => {
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this.isSpinning = false;
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if (message.code === 0) {
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@@ -35,8 +35,8 @@
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"icon": "anticon-cloud",
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"children": [
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{
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"text": "http",
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"link": "/monitors?app=http",
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"text": "api",
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"link": "/monitors?app=api",
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"i18n": "monitor.app.http"
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},
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{
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@@ -28,6 +28,7 @@
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},
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"app": {
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"": "监控类型",
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"api": "HTTP API",
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"http": "HTTP API",
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"ping": "PING连通性",
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"telnet": "Telnet端口可用性",
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Reference in New Issue
Block a user