From 2f8eaa7c850445fde0cdca0e8ecddcb7e2a936a3 Mon Sep 17 00:00:00 2001
From: guoshilong <123456>
Date: Tue, 05 Mar 2024 16:01:35 +0800
Subject: [PATCH] 洪水预报接口对接
---
skjcmanager/skjcmanager-service/skjcmanager-nky/src/main/java/cn/gistack/nky/service/impl/HsybServiceImpl.java | 310 +++++++++++++++++++++++++++++++++++++++++++-------
1 files changed, 263 insertions(+), 47 deletions(-)
diff --git a/skjcmanager/skjcmanager-service/skjcmanager-nky/src/main/java/cn/gistack/nky/service/impl/HsybServiceImpl.java b/skjcmanager/skjcmanager-service/skjcmanager-nky/src/main/java/cn/gistack/nky/service/impl/HsybServiceImpl.java
index 61aa3de..52bd26d 100644
--- a/skjcmanager/skjcmanager-service/skjcmanager-nky/src/main/java/cn/gistack/nky/service/impl/HsybServiceImpl.java
+++ b/skjcmanager/skjcmanager-service/skjcmanager-nky/src/main/java/cn/gistack/nky/service/impl/HsybServiceImpl.java
@@ -1,28 +1,49 @@
package cn.gistack.nky.service.impl;
import cn.gistack.common.utils.CommonUtil;
-import cn.gistack.nky.resultpojo.HsybGetFuturePo;
+import cn.gistack.common.utils.HttpClientUtils;
+import cn.gistack.common.utils.SpringContextUtil;
+import cn.gistack.nky.resultpojo.*;
import cn.gistack.nky.service.IHsybService;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
+import com.alibaba.fastjson.parser.Feature;
import lombok.AllArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
import org.springblade.core.tool.utils.DateUtil;
-import org.springframework.http.HttpEntity;
-import org.springframework.http.HttpHeaders;
-import org.springframework.http.MediaType;
+import org.springblade.core.tool.utils.StringUtil;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.http.*;
import org.springframework.stereotype.Service;
+import org.springframework.util.MultiValueMap;
import org.springframework.web.client.RestTemplate;
-import java.util.ArrayList;
-import java.util.Date;
-import java.util.List;
+import java.time.LocalDate;
+import java.time.format.DateTimeFormatter;
+import java.util.*;
import java.util.stream.Collectors;
@Service
@AllArgsConstructor
+@Slf4j
public class HsybServiceImpl implements IHsybService {
- private static String GET_FUTURE = "https://sk.hubeishuiyi.cn/hsybApi/api/fh-admin/skkr/getFuture";
+ private RestTemplate restTemplate;
+ private static String PREFIX = "/hsybApi";
+
+ private static String ONLINE = "http://10.42.7.148:50001";
+ private static String LOCAL = "https://sk.hubeishuiyi.cn";
+ private static String GET_FUTURE = "/api/fh-admin/skkr/getFuture";
+ //新水位接口
+ private static String GET_NEW_FUTURE = "/api/fh-admin/skkr/getSkFutureSw";
+ //获取是否有预测模型接口
+ private static String GET_SK_GXZT = "/api/fh-admin/skkr/getSkgxzt";
+ //同步模型接口
+ private static String UPDATE_CJYSJ_BY_TM = "/api/fh-admin/skkr/updateCjysjByTm";
+
+
+// private static String GET_FUTURE_ONLINE = "/api/fh-admin/skkr/getFuture";
+// private static String GET_NEW_FUTURE_ONLINE = "/api/fh-admin/skkr/getSkFutureSw";
private static String AUTHORIZATION = "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX25hbWUiOiJBRE1JTiIsIlVzZXJJZCI6IjEiLCJzY29wZSI6WyJhbGwiXSwiVXNlclJlYWxOYW1lIjoi6LaF57qn566h55CG5ZGYIiwiVXNlclh6cWhkbSI6IjQyMDUiLCJleHAiOjI1MTk3NzIwMTAsImp0aSI6ImExNTcxYzk1LTBkNjMtNDkyYi1iOWEyLTE2ZTIzNTQ5ZTY1ZiIsImNsaWVudF9pZCI6InVzZXItc2VydmljZSJ9.ebNVZrw9LbhKaj2w6RR8b2wccQiDkhvBeq79SxxCK-yWiOlIFqBkotTN4TNJg8umcpyYvLILwvqXWRJhffEtgi25sX2y6MqLIWM4kMZ9d8ptdnSmTpBPhltSiQOM0KFa1kl5nSDCBwYOLn-pESJglam76cjpgZNoC88x3iNHacdiXDItY0rtY85HrQ26uyJu9UovKtmYmZRHsIbGMpDta5Q1p4vfaCIr-YUayDrCweZJiQDEEcOSpWJ7O7RMk3pRkX_4UmPHFzrOI2lMp1jQIhxnSTE7EVAz_4z8h8r46muSkpF54Ic4XSawHKqdSLHx8T05LB0MpvOzWMPS6c1uHA";
@@ -32,7 +53,7 @@
HsybGetFuturePo hsybGetFuturePo = apiRequest(GET_FUTURE, resCd);
if (hsybGetFuturePo != null && hsybGetFuturePo.getRespCode().equals("200")) {
- List<List<String>> data = hsybGetFuturePo.getData();
+ List<List<String>> data = (List<List<String>>)hsybGetFuturePo.getData();
List<List<String>> collect = filterPredictData(data);
return collect;
@@ -41,10 +62,111 @@
}
}
+ @Override
+ public List<NewSwFuturePo> getNewFuture(String resId) {
+ //获取预测水位之前需要确认是否有预测水位模型
+// Boolean isUpdate = isResHasModel(resId);
+
+// if (isUpdate){
+ //数据模型已经更新过，就可以去拿预测水位
+ //设置预测73小时未来水位,因为最后一条是当前时间的整点数据，获取不到三天，多加一小时就可以获取到下一个整点的未来数据
+ String urlParams = StringUtil.format("?resId={}&yjq=73",resId);
+
+ HsybGetFuturePo hsybGetFuturePo = sendRequestToHsyb(GET_NEW_FUTURE, urlParams);
+
+ //程序转为hashmap,手动转换类型
+ List<NewSwFuturePo> data = JSON.parseArray(JSON.toJSONString(hsybGetFuturePo.getData()), NewSwFuturePo.class);
+ List<NewSwFuturePo> filterData = filterPredict(data);
+
+ log.info(StringUtil.format("过滤后的预测水位数据：{}", JSON.toJSONString(filterData)));
+ return filterData;
+// }else{
+// //拿不到预测水位
+// return null;
+// }
+ }
+
+ public Boolean isResHasModel(String resId){
+ String urlParams = StringUtil.format("?skbm={}",resId);
+ HsybGetFuturePo hsybGetFuturePo = sendRequestToHsyb(GET_SK_GXZT, urlParams);
+ String message = hsybGetFuturePo.getData().toString();
+
+ if (message.equals("请更新模型数据！")){
+ return false;
+ }else{
+ return true;
+ }
+ }
+
+ @Override
+ public String updateCjysjByTm(List<String> resIds) {
+ // 获取当前时间
+ LocalDate currentDate = LocalDate.now();
+ // 获取前30天的时间
+ LocalDate thirtyDaysBefore = currentDate.minusDays(30);
+ // 输出结果
+ DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd 00:00:00");
+ String startTime = thirtyDaysBefore.format(formatter);
+ String endTime = currentDate.format(formatter);
+
+ String urlParams = StringUtil.format("?startTime={}&endTime={}", startTime, endTime);
+ String skbmListStr = String.join("&skbmList=", resIds);
+ HsybGetFuturePo res = sendRequestToHsyb(UPDATE_CJYSJ_BY_TM, urlParams + "&skbmList=" + skbmListStr);
+ return res.getData().toString();
+ }
+
+ private HsybGetFuturePo apiRequest(String url, String type, Map<String, Object> params) {
+ // 获取环境
+ String activeProfile = SpringContextUtil.getActiveProfile();
+ if (activeProfile.equals("dev")) {
+ url = LOCAL + PREFIX + url;
+ }
+ if (activeProfile.equals("prod")) {
+ url = ONLINE + url;
+ }
+ if (activeProfile.equals("test")) {
+ url = ONLINE + url;
+ }
+
+ HttpMethod method;
+ if (type.toLowerCase().equals("get".toLowerCase())) {
+ method = HttpMethod.GET;
+ } else {
+ method = HttpMethod.POST;
+ }
+ // 声明一个header变量
+ HttpHeaders headers = new HttpHeaders();
+ url = url + "?resId=" + params.get("resId");
+ HttpEntity<String> httpEntity = new HttpEntity(null, headers);
+ log.info("请求地址：" + url);
+ log.info("请求参数：" + params);
+ RestTemplate template = new RestTemplate();
+ ResponseEntity<HsybGetFuturePo> response = template.exchange(url, method, httpEntity, HsybGetFuturePo.class);
+
+ if (response.getStatusCodeValue() == 200) {
+ return response.getBody();
+ }
+ return null;
+ }
+
public HsybGetFuturePo apiRequest(String url, String jsonparams) {
-// Long param = Long.parseLong(jsonparams);
- System.out.println("请求参数：" + jsonparams);
+ // 获取环境
+ String activeProfile = SpringContextUtil.getActiveProfile();
+ if (activeProfile.equals("dev")) {
+ url = LOCAL + PREFIX + url;
+ }
+ if (activeProfile.equals("prod")) {
+ url = ONLINE + GET_FUTURE;
+ }
+ if (activeProfile.equals("test")) {
+ url = ONLINE + GET_FUTURE;
+ }
+
+
+ log.info("预测水位请求参数：" + jsonparams);
+ log.info("预测水位请求地址：" + url);
+
// 声明一个header变量
HttpHeaders headers = new HttpHeaders();
// 设置为json格式
@@ -58,12 +180,41 @@
RestTemplate template = new RestTemplate();
try {
HsybGetFuturePo hsybGetFuturePo = template.postForObject(url, httpEntity, HsybGetFuturePo.class);
- System.out.println(hsybGetFuturePo.toString());
+ log.info("预测水位返回结果：" + hsybGetFuturePo.toString());
return hsybGetFuturePo;
} catch (Exception e) {
System.out.println(e);
}
+ return null;
+ }
+
+ public HsybGetFuturePo sendRequestToHsyb(String url, String urlParam) {
+ // 获取环境
+ String activeProfile = SpringContextUtil.getActiveProfile();
+ if (activeProfile.equals("dev")) {
+ url = LOCAL + PREFIX + url;
+ }
+ if (activeProfile.equals("prod")) {
+ url = ONLINE + url;
+ }
+ if (activeProfile.equals("test")) {
+ url = ONLINE + url;
+ }
+ url = url + urlParam;
+ log.info("洪水预报请求地址：{}", url);
+ //设置请求头
+ HttpHeaders headers = new HttpHeaders();
+ headers.add("Authorization", AUTHORIZATION);
+ //封装请求头
+ HttpEntity<MultiValueMap<String, Object>> formEntity = new HttpEntity<MultiValueMap<String, Object>>(headers);
+
+ try {
+ ResponseEntity<HsybGetFuturePo> exchange = restTemplate.exchange(url, HttpMethod.GET, formEntity, HsybGetFuturePo.class);
+ return exchange.getBody();
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
return null;
}
@@ -75,50 +226,115 @@
* @return
*/
public List<List<String>> filterPredictData(List<List<String>> data) {
- String formatter = "yyyy-MM-dd";
- String today = DateUtil.format(new Date(), formatter);
- Long time = new Date().getTime() + 60 * 60 * 24 * 1000;
- Date tomorrowDate = new Date(time);
- String tomorrow = DateUtil.format(tomorrowDate, formatter);
+ //获取当前时间
+ String formatter = "HH:00";
+ String nowTime = DateUtil.format(new Date(), formatter);
- //过滤空值数据，过滤过去时间
- List<List<String>> collect = data.stream().filter(item -> item.get(0) != null).collect(Collectors.toList());
- Integer index = findIndex(collect, "/");
+ //获取等于当前时间的水位数据
+ List<List<String>> collect = data.stream().filter(infoList -> infoList.get(0).equals(nowTime)).collect(Collectors.toList());
- //对0点时间添加日期
- if (index>-1){
- collect.get(index).set(0,tomorrow + collect.get(index).get(0).substring(5));
- }
-
- for (int i = 0; i < collect.size(); i++) {
- if (i<index && index>-1){
- collect.get(i).set(0,today + " " + collect.get(i).get(0));
- }else if (i>index && index>-1){
- collect.get(i).set(0,tomorrow + " " + collect.get(i).get(0));
- }else if ( i!= index && index == -1){
- collect.get(i).set(0,today + " " + collect.get(i).get(0));
- }
- }
-
- //筛选出未来时间
- List<List<String>> filterData = collect.stream().filter(item -> CommonUtil.strToDate(item.get(0)).after(DateUtil.now())).collect(Collectors.toList());
-
- //截取掉时间部分
- filterData.forEach(e->{
- e.set(0,e.get(0).split(" ")[0]);
+ collect.forEach(infoList -> {
+ //给第一项重新赋值，因为后面取的是第一项，且预测参数时间只要日期
+ infoList.set(0, infoList.get(4).split(" ")[0]);
});
+ return collect;
- //去除重复数据
- List<List<String>> collect1 = filterData.stream().distinct().collect(Collectors.toList());
- return collect1;
+//
+// String formatter = "yyyy-MM-dd";
+// String today = DateUtil.format(new Date(), formatter);
+//
+// Long time = new Date().getTime() + 60 * 60 * 24 * 1000;
+// Date tomorrowDate = new Date(time);
+// String tomorrow = DateUtil.format(tomorrowDate, formatter);
+//
+//
+// String nowHour = DateUtil.format(new Date(),"HH");
+//
+// //过滤空值数据
+// List<List<String>> collect = data.stream().filter(item -> item.get(0) != null).collect(Collectors.toList());
+//
+// //切割过去数据
+// Integer nowIndex = findIndex(collect, nowHour);
+// List<List<String>> subList = collect.subList(nowIndex, collect.size());
+// int index = -1;
+// //添加日期
+// for (int i = 0; i < subList.size(); i++) {
+// List<String> temp = subList.get(i);
+// if (index == -1 && temp.get(0).indexOf("/")>-1){
+// index = i;
+// temp.set(0,tomorrow + " " +temp.get(0).substring(5));
+// }
+//
+// if (index != -1){
+// temp.set(0,tomorrow + " " + temp.get(0).substring(5));
+// }else {
+// //给后面的时间添加今天的日期
+// temp.set(0,today + " " + temp.get(0));
+// }
+//
+// }
+//
+//
+// //截取掉时间部分
+// subList.forEach(e->{
+// e.set(0,e.get(0).split(" ")[0]);
+// });
+//
+// //去除重复数据
+// List<List<String>> distinctList = subList.stream().distinct().collect(Collectors.toList());
+//
+//
+// //去重
+// for ( int i = 0 ; i < distinctList.size() - 1 ; i ++ ) {
+// for ( int j = distinctList.size() - 1 ; j > i; j -- ) {
+// // 这里是对象的比较，如果去重条件不一样，在这里修改即可
+// if (distinctList.get(j).get(0).equals(distinctList.get(i).get(0))) {
+// distinctList.remove(i);
+// }
+// }
+// }
+
+// return distinctList;
}
- public Integer findIndex(List<List<String>> list,String reg){
+ public List<NewSwFuturePo> filterPredict(List<NewSwFuturePo> list) {
+
+ /**
+ * {
+ * "sw": "88.72",
+ * "time": "2024-02-01 16:00:00",
+ * "resId": "42092250024"
+ * },
+ * {
+ * "sw": "88.72",
+ * "time": "2024-02-01 17:00:00",
+ * "resId": "42092250024"
+ * },
+ */
+ if (list.size() == 0) {
+ return null;
+ }
+
+ //先拿第一个数据，第一个数据就是当前时间的下一个整点的预测数据
+ NewSwFuturePo newSwFuturePo = list.get(0);
+
+ //获取预测数据中，和第一条时间部分相同的数据；再筛选掉水位为0的数据
+ List<NewSwFuturePo> filterList = list.stream().filter(item -> item.getTime().indexOf(newSwFuturePo.getTime().split(" ")[1]) > -1).filter(item->!item.getSw().equals("0.0")).collect(Collectors.toList());
+
+ //给时间重新赋值，因为南科院hst预测只需要日期
+ filterList.forEach(e -> {
+ e.setTime(e.getTime().split(" ")[0]);
+ });
+
+ return filterList;
+ }
+
+ public Integer findIndex(List<List<String>> list, String reg) {
for (int i = 0; i < list.size(); i++) {
- if (list.get(i).get(0).indexOf(reg)>-1){
- return i;
+ if (list.get(i).get(0).indexOf(reg) > -1) {
+ return i;
}
}
return -1;
--
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