Merge remote-tracking branch 'origin/developer' into developer

amos-boot-system-jxiop/amos-boot-module-jxiop-analyse-biz/src/main/java/com/yeejoin/amos/boot/module/jxiop/biz/controller/TDBigScreenAnalyseController.java

@@ -17,7 +17,9 @@ import java.util.List;
 import java.util.Map;
 import java.util.Objects;
 import java.util.function.Function;
+import java.util.function.Predicate;
 import java.util.stream.Collectors;
+import java.util.stream.Stream;
 
 import org.apache.commons.lang3.ObjectUtils;
 import org.apache.commons.lang3.StringUtils;
@@ -457,58 +459,29 @@ public class TDBigScreenAnalyseController extends BaseController {
 
 
     @TycloudOperation(ApiLevel = UserType.AGENCY, needAuth = false)
-    @ApiOperation(httpMethod = "GET", value = "片区、场站设备健康状态指数 ", notes = "片区、场站设备健康状态指数 ")
-    @GetMapping(value = "/getHealthInfoByMinute")
-    public ResponseModel<Map<String, Object>> getHealthInfoByMinute(@RequestParam(required = false) String areaCode) {
+    @ApiOperation(httpMethod = "GET", value = "全域片区设备健康状态指数 ", notes = "全域片区设备健康状态指数 ")
+    @GetMapping(value = "/getAreaHealthInfoByMinute")
+    public ResponseModel<Map<String, Object>> getHealthInfoByAreaAndMinute() {
         LambdaQueryWrapper<FanHealthIndex> wrapper = new LambdaQueryWrapper<FanHealthIndex>();
         wrapper.orderByDesc(FanHealthIndex::getTs);
         wrapper.eq(FanHealthIndex::getAnalysisType, "按10分钟");
-        if (CharSequenceUtil.isNotEmpty(areaCode)) {
-            wrapper.eq(FanHealthIndex::getAnalysisObjType, "场站");
-            wrapper.like(FanHealthIndex::getArea, "%" + areaCode + "%");
-        }else{
         wrapper.eq(FanHealthIndex::getAnalysisObjType, "片区");
-        }
-
-        List<Object> seriesData = new ArrayList<>();
-        List<String> axisData = new ArrayList<>();
         List<FanHealthIndex> fanHealthIndexList = fanHealthIndexMapper.selectList(wrapper);
         Map<String, Object> resultMap = new HashMap<>();
-        if (CharSequenceUtil.isNotEmpty(areaCode)) {
-            Map<String, Map<String, List<FanHealthIndex>>> groupedData = fanHealthIndexList.stream()
-                    .collect(Collectors.groupingBy(FanHealthIndex::getArea, Collectors.groupingBy(FanHealthIndex::getStation)));
-            Map<String, Map<String, FanHealthIndex>> latestData = groupedData.entrySet().stream()
-                    .collect(Collectors.toMap(
-                            Map.Entry::getKey,
-                            e -> e.getValue().values().stream()
-                                    .map(list -> list.stream()
-                                            .max(Comparator.comparing(FanHealthIndex::getTs))
-                                            .get())
-                                    .collect(Collectors.toMap(FanHealthIndex::getStation, Function.identity()))
-                    ));
-            List<Object> finalSeriesData = new ArrayList<>();
-            List<String> finalAxisData = new ArrayList<>();
-            latestData.values().forEach(s -> {
-                s.forEach((k,v) -> {
-                    finalSeriesData.add(v.getHealthIndex());
-                    finalAxisData.add(v.getStation());
-                });
-            });
-            seriesData.addAll(finalSeriesData);
-            axisData.addAll(finalAxisData);
-        }else{
         Map<String, List<FanHealthIndex>> groupedData = fanHealthIndexList.stream()
                 .collect(Collectors.groupingBy(FanHealthIndex::getArea));
         Map<String, FanHealthIndex> latestData = groupedData.values().stream().map(list -> list.stream()
                         .max(Comparator.comparing(FanHealthIndex::getTs))
-                            .get())
-                    .collect(Collectors.toMap(FanHealthIndex::getArea, Function.identity()));
-            seriesData = latestData.values().stream().map(t -> String.valueOf(BigDecimal.valueOf(t.getHealthIndex())
-                    .setScale(1, BigDecimal.ROUND_HALF_UP))).collect(Collectors.toList());
-            axisData = latestData.values().stream().map(t -> t.getArea()).collect(Collectors.toList());
-        }
-
-        resultMap.put("axisData", axisData);
+                        .get()).collect(Collectors.toMap(FanHealthIndex::getArea, Function.identity()));
+        List<String> axisData = latestData.values().stream().map(t -> t.getArea()).collect(Collectors.toList());
+        List<String> list = Arrays.asList("华北区域", "东北区域", "华东区域", "华南区域", "西南区域", "西北区域", "华中区域");
+        List<String> finalList = Stream.concat(axisData.stream(),list.stream()).distinct().collect(Collectors.toList());
+        List<Object> seriesData = new ArrayList<>();
+        latestData.values().forEach(item -> {
+            Predicate<String> condition = finalList::contains;
+            seriesData.add(condition.test(item.getArea()) ? String.valueOf(BigDecimal.valueOf(item.getHealthIndex())) : "100.0");
+        });
+        resultMap.put("axisData", finalList);
         resultMap.put("seriesData", seriesData);
         return ResponseHelper.buildResponse(resultMap);
     }
@@ -516,6 +489,50 @@ public class TDBigScreenAnalyseController extends BaseController {
 
 
     @TycloudOperation(ApiLevel = UserType.AGENCY, needAuth = false)
+    @ApiOperation(httpMethod = "GET", value = "片区场站设备健康状态指数 ", notes = "片区场站设备健康状态指数 ")
+    @GetMapping(value = "/getStationHealthInfoByMinute")
+    public ResponseModel<Map<String, Object>> getHealthInfoByStationAndMinute(@RequestParam(required = false) String areaCode) {
+        LambdaQueryWrapper<FanHealthIndex> wrapper = new LambdaQueryWrapper<FanHealthIndex>();
+        wrapper.orderByDesc(FanHealthIndex::getTs);
+        wrapper.eq(FanHealthIndex::getAnalysisType, "按10分钟");
+        wrapper.eq(FanHealthIndex::getAnalysisObjType, "场站");
+        wrapper.like(FanHealthIndex::getArea, "%" + areaCode + "%");
+
+        Map<String, Object> resultMap = new HashMap<>();
+        List<FanHealthIndex> fanHealthIndexList = fanHealthIndexMapper.selectList(wrapper);
+
+        LambdaQueryWrapper<PvHealthIndex> pvWrapper = new LambdaQueryWrapper<PvHealthIndex>();
+        pvWrapper.orderByDesc(PvHealthIndex::getTs);
+        pvWrapper.eq(PvHealthIndex::getAnalysisType, "按10分钟");
+        pvWrapper.eq(PvHealthIndex::getAnalysisObjType, "场站");
+        pvWrapper.like(PvHealthIndex::getArea, "%" + areaCode + "%");
+        List<PvHealthIndex> pvHealthIndexList = pvHealthIndexMapper.selectList(pvWrapper);
+
+        Map<String, List<FanHealthIndex>> fanHealthGroupedData = fanHealthIndexList.stream()
+                .collect(Collectors.groupingBy(FanHealthIndex::getArea));
+        Map<String, FanHealthIndex> fanHealthLatestData = fanHealthGroupedData.values().stream().map(list -> list.stream()
+                .max(Comparator.comparing(FanHealthIndex::getTs))
+                .get()).collect(Collectors.toMap(FanHealthIndex::getArea, Function.identity()));
+
+        Map<String, List<PvHealthIndex>> pvHealthGroupedData = pvHealthIndexList.stream()
+                .collect(Collectors.groupingBy(PvHealthIndex::getStation));
+        Map<String, PvHealthIndex> pvHealthLatestData = pvHealthGroupedData.values().stream().map(list -> list.stream()
+                .max(Comparator.comparing(PvHealthIndex::getTs))
+                .get()).collect(Collectors.toMap(PvHealthIndex::getStation, Function.identity()));
+
+        List<String> finalAxisData = new ArrayList<>();
+        List<Object> finaleSeriesData = new ArrayList<>();
+        finalAxisData.addAll(fanHealthLatestData.values().stream().map(t -> t.getArea()).collect(Collectors.toList()));
+        finalAxisData.addAll(pvHealthLatestData.values().stream().map(t -> t.getArea()).collect(Collectors.toList()));
+        finaleSeriesData.addAll(fanHealthLatestData.values().stream().map(t -> String.valueOf(BigDecimal.valueOf(t.getHealthIndex()))).collect(Collectors.toList()));
+        finaleSeriesData.addAll(pvHealthLatestData.values().stream().map(t -> String.valueOf(BigDecimal.valueOf(t.getHealthIndex()))).collect(Collectors.toList()));
+        resultMap.put("axisData", finalAxisData);
+        resultMap.put("seriesData", finaleSeriesData);
+        return ResponseHelper.buildResponse(resultMap);
+    }
+
+
+    @TycloudOperation(ApiLevel = UserType.AGENCY, needAuth = false)
     @ApiOperation(httpMethod = "GET", value = "全域各场站设备实时预警处置信息", notes = "全域各场站设备实时预警处置信息")
     @GetMapping(value = "/getEquipWarningInfoByPage")
     public ResponseModel<IPage<FanWarningRecord>> getEquipWarningInfoByPage(

amos-boot-system-jxiop/amos-boot-module-jxiop-analyse-biz/src/main/java/com/yeejoin/amos/boot/module/jxiop/biz/service/impl/HealthStatusIndicatorServiceImpl.java

@@ -741,7 +741,7 @@ public class HealthStatusIndicatorServiceImpl {
         wrapper.orderByAsc(PvHealthIndexHour::getTs);
         List<PvHealthIndexHour> healthIndices = pvHealthIndexHourMapper.selectList(wrapper);
         List<String> collect = healthIndices.stream().map(PvHealthIndexHour::getAnalysisObjSeq).collect(Collectors.toList());
-        if (null == healthIndices) {
+        if (null == healthIndices||collect==null||collect.isEmpty()) {
             return;
         }
         LambdaQueryWrapper<IdxBizPvWarningRuleSet> queryWrapper = new LambdaQueryWrapper<>();

amos-boot-system-jxiop/amos-boot-module-jxiop-analyse-biz/src/main/resources/application-dev1.properties

@@ -198,3 +198,7 @@ base.url.GKHF=http://139.9.171.247:8052/intelligent-analysis/working-condition-d
 base.url.ZXZ=http://139.9.171.247:8052/intelligent-analysis/central-value
 #ָ���������㷨����
 base.url.zsfx:http://139.9.171.247:8052/intelligent-analysis/index-analysis
+
+forecast.url=
+
+logic=
\ No newline at end of file

amos-boot-system-jxiop/amos-boot-module-jxiop-analyse-biz/src/main/resources/application.properties

@@ -2,7 +2,7 @@ spring.application.name=AMOS-JXIOP-ANALYSE-CZ
 server.servlet.context-path=/jxiop-analyse
 server.port=33400
 server.uri-encoding=UTF-8
-spring.profiles.active=kingbase8
+spring.profiles.active=dev1
 spring.jackson.time-zone=GMT+8
 spring.jackson.date-format=yyyy-MM-dd HH:mm:ss
 logging.config=classpath:logback-${spring.profiles.active}.xml
@@ -90,4 +90,4 @@ healthValue_HourCount=6
 healthValue_MinCount=5
 
 ##是否打开健康计算计算 true 打开 false 关闭
-openHealth = true
\ No newline at end of file
+openHealth = false
\ No newline at end of file

amos-boot-system-jxiop/amos-boot-module-jxiop-api/src/main/resources/mapper/warning/McbWarningMapper.xml

@@ -160,7 +160,7 @@
             </if>
         </where>
         ORDER BY
-        log.REC_DATE DESC
+        log.CREATE_DATE DESC
         LIMIT #{start}, #{size}
     </select>