From 615af82c9ea47993e78b00e9c64e887e063474f8 Mon Sep 17 00:00:00 2001
From: xiangpei <xiangpei@timesnew.cn>
Date: 星期三, 04 九月 2024 22:08:50 +0800
Subject: [PATCH] 点位修改增加部级标签设置
---
ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java | 1328 ++++++++++++++++++++++++++++++++++++++++++++++++++-------
1 files changed, 1,161 insertions(+), 167 deletions(-)
diff --git a/ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java b/ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java
index b9c0a83..f40c430 100644
--- a/ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java
+++ b/ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java
@@ -1,17 +1,35 @@
package com.ycl.platform.service.impl;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.github.pagehelper.Page;
+import com.github.pagehelper.PageHelper;
+import com.mongodb.client.AggregateIterable;
+import com.mongodb.client.MongoCollection;
+import com.mongodb.client.MongoDatabase;
+import com.ycl.platform.domain.entity.ImageResourceSecurityDetail;
+import com.ycl.platform.domain.entity.YwPoint;
import com.ycl.platform.domain.query.DataCenterQuery;
import com.ycl.platform.domain.result.HK.*;
-import com.ycl.platform.domain.result.UY.RecordMetaDSumResult;
-import com.ycl.platform.domain.vo.TMonitorVO;
+import com.ycl.platform.domain.result.UY.*;
+import com.ycl.platform.mapper.ImageResourceSecurityDetailMapper;
+import com.ycl.platform.mapper.YwPointMapper;
import com.ycl.platform.service.DataCenterService;
+import com.ycl.platform.service.YwPointService;
+import com.ycl.system.Result;
+import com.ycl.system.page.PageUtil;
+import com.ycl.utils.MongoUtil;
import lombok.RequiredArgsConstructor;
+import org.apache.commons.collections.CollectionUtils;
+import org.bson.Document;
+import org.springframework.data.domain.Sort;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;
+import org.springframework.data.mongodb.core.query.TextCriteria;
import org.springframework.stereotype.Service;
-import java.util.List;
+import java.util.*;
+import java.util.stream.Collectors;
/**
* 鏁版嵁涓績鎺ュ彛
@@ -24,352 +42,1328 @@
public class DataCenterServiceImpl implements DataCenterService {
private final MongoTemplate mongoTemplate;
+ private final ImageResourceSecurityDetailMapper securityDetailMapper;
+ private final YwPointMapper pointMapper;
+
+
+ private final static String TIME_FIELD = "mongoCreateTime";
/**
* 瑙嗛锛氱偣浣嶅湪绾跨巼
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<TMonitorVO> videoPointOnlineRate(DataCenterQuery query) {
+ public Result videoPointOnlineRate(DataCenterQuery params) {
+ // 鐢熸垚鏌ヨ
+ List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
+ Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, null);
- return null;
+ // 鍏堟煡鎬绘暟鍐嶅垎椤�
+ long total = mongoTemplate.count(query, VideoOnlineResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_online");
+ long distinctCount = collection.distinct("deviceId", String.class).into(new ArrayList<>()).size();
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(distinctCount));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
- * 瑙嗛锛氫竴鏈轰竴妗ｆ敞鍐岀巼
+ * 瑙嗛锛氶儴绾х偣浣嶅湪绾跨巼
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<TMonitorVO> videoOneMachineDocumentRegister(DataCenterQuery query) {
- return null;
- }
+ public Result deptVideoPointOnlineRate(DataCenterQuery params) {
+ // 鍏堟煡鍑洪儴绾х偣浣嶇殑鍥芥爣
+ List<String> deptGBList = pointMapper.getDeptPointGB(0);
+ List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
+ // 鐢熸垚鏌ヨ
+ Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, deptGBList);
- /**
- * 瑙嗛锛氫竴鏈轰竴妗ｅ悎鏍肩巼
- *
- * @param query
- * @return
- */
- @Override
- public List<TMonitorVO> videoOneMachineDocumentQualified(DataCenterQuery query) {
- return null;
- }
+ // 鍏堟煡鎬绘暟鍐嶅垎椤�
+ long total = mongoTemplate.count(query, VideoOnlineResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
- /**
- * 瑙嗛锛氭。妗堣�冩牳姣�
- *
- * @param query
- * @return
- */
- @Override
- public List<TMonitorVO> videoAssessmentFileRatio(DataCenterQuery query) {
- return null;
- }
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_online");
+ Document filter = new Document("deviceId", new Document("$in", deptGBList));
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ // 鍙閮ㄧ骇鐨�
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceId")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
- /**
- * 瑙嗛锛氬綍鍍忓彲鐢ㄧ巼
- *
- * @param query
- * @return
- */
- @Override
- public List<RecordMetaDSumResult> videoAvailabilityRate(DataCenterQuery query) {
- return null;
- }
-
- /**
- * 瑙嗛锛氶噸鐐圭偣浣嶅綍鍍忓彲鐢ㄧ巼
- *
- * @param query
- * @return
- */
- @Override
- public List<RecordMetaDSumResult> videoImportantPointAvailabilityRate(DataCenterQuery query) {
- return null;
- }
-
- /**
- * 瑙嗛锛氭爣娉ㄦ纭巼
- *
- * @param query
- * @return
- */
- // TODO 杩斿洖鏁版嵁瀵硅薄鏇存崲
- @Override
- public List<TMonitorVO> videoLabelingAccuracy(DataCenterQuery query) {
- return null;
- }
-
- /**
- * 瑙嗛锛氶噸鐐圭偣浣嶆爣娉ㄦ纭巼
- *
- * @param query
- * @return
- */
- // TODO 杩斿洖鏁版嵁瀵硅薄鏇存崲
- @Override
- public List<TMonitorVO> videoImportantPointLabelingAccuracy(DataCenterQuery query) {
- return null;
- }
-
- /**
- * 瑙嗛锛氭牎鏃舵纭巼
- *
- * @param query
- * @return
- */
- // TODO 杩斿洖鏁版嵁瀵硅薄鏇存崲
- @Override
- public List<TMonitorVO> videoCheckTimeAccuracy(DataCenterQuery query) {
- return null;
- }
-
- /**
- * 瑙嗛锛氶噸鐐圭偣浣嶆牎鏃舵纭巼
- *
- * @param query
- * @return
- */
- // TODO 杩斿洖鏁版嵁瀵硅薄鏇存崲
- @Override
- public List<TMonitorVO> videoImportantPointCheckTimeAccuracy(DataCenterQuery query) {
- return null;
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(uniqueDeviceIdCount));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 瑙嗛锛氶噸鐐圭偣浣嶅湪绾跨巼
*
- * @param query
+ * @param params
* @return
*/
- // TODO 杩斿洖鏁版嵁瀵硅薄鏇存崲
@Override
- public List<TMonitorVO> videoImportantPointOnlineRate(DataCenterQuery query) {
- return null;
+ public Result videoImportantPointOnlineRate(DataCenterQuery params) {
+ // 鍏堟煡鍑洪噸鐐圭偣浣嶇殑鍥芥爣
+ List<String> deptGBList = pointMapper.getDeptPointGB(1);
+ List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
+ Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, deptGBList);
+
+ long total = mongoTemplate.count(query, VideoOnlineResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_online");
+ Document filter = new Document("deviceId", new Document("$in", deptGBList));
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceId")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+
+// long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), VideoOnlineResult.class);
+// long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), VideoOnlineResult.class);
+// long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), VideoOnlineResult.class);
+// long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), VideoOnlineResult.class);
+// long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), VideoOnlineResult.class);
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(uniqueDeviceIdCount));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 瑙嗛锛氶噸鐐规寚鎸ュ浘鍍忓湪绾跨巼
*
- * @param query
+ * @param params
* @return
*/
- // TODO 杩斿洖鏁版嵁瀵硅薄鏇存崲
@Override
- public List<TMonitorVO> videoImportantPointImageOnlineRate(DataCenterQuery query) {
- return null;
+ public Result videoImportantPointImageOnlineRate(DataCenterQuery params) {
+ // 鍏堟煡鍑洪噸鐐规寚鎸ュ浘鍍忕偣浣嶇殑鍥芥爣
+ List<String> deptGBList = pointMapper.getDeptPointGB(2);
+ List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
+ Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, deptGBList);
+
+ long total = mongoTemplate.count(query, VideoOnlineResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_online");
+ Document filter = new Document("deviceId", new Document("$in", deptGBList));
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceId")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+
+// // 缁熻鏁�
+// long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), VideoOnlineResult.class);
+// long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), VideoOnlineResult.class);
+// long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), VideoOnlineResult.class);
+// long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), VideoOnlineResult.class);
+// long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), VideoOnlineResult.class);
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(uniqueDeviceIdCount));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
+ /**
+ * 瑙嗛锛氫竴鏈轰竴妗ｆ敞鍐岀巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoOneMachineDocumentRegister(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
+ Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
+ long total = mongoTemplate.count(query, MonitorQualifyResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
+
+ Document ipErrFilter = new Document("ip.error", true);
+ Document macdzErrFilter = new Document("macdz.error", true);
+ Document latitudeErrFilter = new Document("latitude.error", true);
+ Document longitudeErrFilter = new Document("longitude.error", true);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$serialNumber.showValue")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氫竴鏈轰竴妗ｅ悎鏍肩巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoOneMachineDocumentQualified(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
+ Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, MonitorQualifyResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
+
+ Document ipErrFilter = new Document("ip.error", true);
+ Document macdzErrFilter = new Document("macdz.error", true);
+ Document latitudeErrFilter = new Document("latitude.error", true);
+ Document longitudeErrFilter = new Document("longitude.error", true);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$serialNumber.showValue")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氭。妗堣�冩牳姣�
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoAssessmentFileRatio(DataCenterQuery params) {
+ // TODO 鏂板涓�寮犺〃璁板綍姣忔鐨勬。妗堣�冩牳
+ List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
+ Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, MonitorQualifyResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
+
+ Document ipErrFilter = new Document("ip.error", true);
+ Document macdzErrFilter = new Document("macdz.error", true);
+ Document latitudeErrFilter = new Document("latitude.error", true);
+ Document longitudeErrFilter = new Document("longitude.error", true);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$serialNumber.showValue")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氬綍鍍忓彲鐢ㄧ巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoAvailabilityRate(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
+ Query query = MongoUtil.getQuery(params, "deviceId", "createTime", likeFileds, null);
+
+ long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
+ MongoUtil.setPage(query, params, "createTime");
+ List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum");
+ List<Integer> status = Arrays.asList(1, 0, -1);
+ List<Integer> resultCount = status.stream().map(item -> {
+ Document filter = new Document("recordStatus", item);
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceId")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", resultCount);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氶儴绾у綍鍍忓彲鐢ㄧ巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result deptVideoAvailabilityRate(DataCenterQuery params) {
+
+ List<String> deptGBList = pointMapper.getDeptPointGB(0);
+ List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
+ Query query = MongoUtil.getQuery(params, "deviceId", "createTime", likeFileds, deptGBList);
+
+ long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
+ MongoUtil.setPage(query, params, "createTime");
+ List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum");
+ List<Integer> status = Arrays.asList(1, 0, -1);
+ List<Integer> resultCount = status.stream().map(item -> {
+ Document filter = new Document("$and", Arrays.asList(
+ new Document("deviceId", new Document("$in", deptGBList)), // $in 鏉′欢
+ new Document("recordStatus", item)
+ ));
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceId")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", resultCount);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氶噸鐐圭偣浣嶅綍鍍忓彲鐢ㄧ巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoImportantPointAvailabilityRate(DataCenterQuery params) {
+
+ List<String> deptGBList = pointMapper.getDeptPointGB(1);
+ List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
+ Query query = MongoUtil.getQuery(params, "deviceId", "createTime", likeFileds, deptGBList);
+
+ long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
+ MongoUtil.setPage(query, params, "createTime");
+ List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum");
+ List<Integer> status = Arrays.asList(1, 0, -1);
+ List<Integer> resultCount = status.stream().map(item -> {
+ Document filter = new Document("$and", Arrays.asList(
+ new Document("deviceId", new Document("$in", deptGBList)), // $in 鏉′欢
+ new Document("recordStatus", item)
+ ));
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceId")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", resultCount);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氭爣娉ㄦ纭巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoLabelingAccuracy(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
+ Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
+ List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
+ // 缁熻鏁�
+ long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), RecordMetaDSumResult.class);
+ long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), RecordMetaDSumResult.class);
+ long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), RecordMetaDSumResult.class);
+ long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), RecordMetaDSumResult.class);
+ long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), RecordMetaDSumResult.class);
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(nonNetwork, network, video, car, face));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氶噸鐐圭偣浣嶆爣娉ㄦ纭巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoImportantPointLabelingAccuracy(DataCenterQuery params) {
+
+ List<String> deptGBList = pointMapper.getDeptPointGB(1);
+ List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
+ Query query = MongoUtil.getQuery(params, "deviceNo", "checkTime", likeFileds, deptGBList);
+
+ long total = mongoTemplate.count(query, OsdCheckResult.class);
+ MongoUtil.setPage(query, params, "checkTime");
+ List<OsdCheckResult> resultList = mongoTemplate.find(query, OsdCheckResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("osd_check_result");
+
+ Document osdNameFilter = new Document("osdNameCorrect", 1);
+ Document osdNameErrFilter = new Document("osdNameCorrect", -1);
+ Document osdTimeFilter = new Document("osdTimeCorrect", 1);
+ Document osdTimeErrFilter = new Document("osdTimeCorrect", -1);
+ List<Document> lists = Arrays.asList(osdNameFilter, osdNameErrFilter, osdTimeFilter, osdTimeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceNo")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氭牎鏃舵纭巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoCheckTimeAccuracy(DataCenterQuery params) {
+
+ List<String> likeFileds = Arrays.asList("deviceId");
+ Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, OneMachineFileResult.class);
+ List<OneMachineFileResult> resultList = mongoTemplate.find(query, OneMachineFileResult.class);
+ // 缁熻鏁�
+ long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), OneMachineFileResult.class);
+ long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), OneMachineFileResult.class);
+ long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), OneMachineFileResult.class);
+ long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), OneMachineFileResult.class);
+ long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), OneMachineFileResult.class);
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(nonNetwork, network, video, car, face));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+
+ /**
+ * 瑙嗛锛氶噸鐐圭偣浣嶆牎鏃舵纭巼
+ *
+ * @param params
+ * @return
+ */
+ @Override
+ public Result videoImportantPointCheckTimeAccuracy(DataCenterQuery params) {
+
+ List<String> deptGBList = pointMapper.getDeptPointGB(1);
+ List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
+ Query query = MongoUtil.getQuery(params, "deviceNo", "checkTime", likeFileds, deptGBList);
+
+ long total = mongoTemplate.count(query, OsdCheckResult.class);
+ MongoUtil.setPage(query, params, "checkTime");
+ List<OsdCheckResult> resultList = mongoTemplate.find(query, OsdCheckResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("osd_check_result");
+
+ Document osdTimeFilter = new Document("osdTimeCorrect", 1);
+ Document osdTimeErrFilter = new Document("osdTimeCorrect", -1);
+ List<Document> lists = Arrays.asList(osdTimeFilter, osdTimeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$deviceNo")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
/**
* 杞﹁締锛氳鍥惧簱瀵规帴绋冲畾鎬�
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<SnapshotDataMonitorResult> vehicleViewDockStable(DataCenterQuery query) {
- //
- Criteria criteria = new Criteria().andOperator(
- Criteria.where("name").is("xp"),
- Criteria.where("age").lte(50)
- );
- List<SnapshotDataMonitorResult> ts = mongoTemplate.find(Query.query(criteria), SnapshotDataMonitorResult.class);
+ public Result vehicleViewDockStable(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
- return null;
+ long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
+
+ Document normalFilter = new Document("resultType", 1);
+ Document noDataFilter = new Document("resultType", 2);
+ Document trFilter = new Document("resultType", 3);
+ Document littleFilter = new Document("resultType", 4);
+ List<Document> lists = Arrays.asList(normalFilter, noDataFilter, trFilter, littleFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氱偣浣嶅湪绾跨巼
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<SnapshotDataMonitorResult> vehiclePointOnlineRate(DataCenterQuery query) {
- return null;
+ public Result vehiclePointOnlineRate(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
+ long distinctCount = collection.distinct("externalIndexCode", String.class).into(new ArrayList<>()).size();
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", Arrays.asList(distinctCount));
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氫簰鑱旂綉鍗″彛璁惧鐩綍涓�鑷存��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<TMonitorVO> vehicleNetDeviceDirectoryConsistency(DataCenterQuery query) {
- return null;
+ public Result vehicleNetDeviceDirectoryConsistency(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, MonitorQualifyResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
+
+ Document ipErrFilter = new Document("ip.error", true);
+ Document macdzErrFilter = new Document("macdz.error", true);
+ Document latitudeErrFilter = new Document("latitude.error", true);
+ Document longitudeErrFilter = new Document("longitude.error", true);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$serialNumber.showValue")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｄ俊鎭噰闆嗗噯纭巼
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<CrossDetailResult> vehicleCollectionConsistency(DataCenterQuery query) {
- return null;
+ public Result vehicleCollectionConsistency(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "crossName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, CrossDetailResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<CrossDetailResult> resultList = mongoTemplate.find(query, CrossDetailResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_cross_detail");
+
+ Document ipErrFilter = new Document("lalType", 1);
+ Document macdzErrFilter = new Document("lalType", 2);
+ Document latitudeErrFilter = new Document("lalType", 3);
+ Document longitudeErrFilter = new Document("lalType", 4);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｈ澶囨姄鎷嶆暟鎹畬鏁存��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<DataIntegrityMonitoringResult> vehicleCollectionDataIntegrity(DataCenterQuery query) {
- return null;
+ public Result vehicleCollectionDataIntegrity(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, DataIntegrityMonitoringResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<DataIntegrityMonitoringResult> resultList = mongoTemplate.find(query, DataIntegrityMonitoringResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_data_integrity_monitoring");
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｈ澶囨姄鎷嶆暟鎹噯纭��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<AttrRecognitionMonitorResult> vehicleCollectionDataCaptured(DataCenterQuery query) {
- return null;
+ public Result vehicleCollectionDataCaptured(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, AttrRecognitionMonitorResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<AttrRecognitionMonitorResult> resultList = mongoTemplate.find(query, AttrRecognitionMonitorResult.class);
+ // 缁熻鏁�
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｈ澶囨椂閽熷噯纭��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<VehicleDeviceInspectionResult> vehicleClockAccuracy(DataCenterQuery query) {
- return null;
+ public Result vehicleClockAccuracy(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, VehicleDeviceInspectionResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<VehicleDeviceInspectionResult> resultList = mongoTemplate.find(query, VehicleDeviceInspectionResult.class);
+
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");
+
+ Document ipErrFilter = new Document("snapResult", 1);
+ Document macdzErrFilter = new Document("snapResult", 2);
+ Document longitudeErrFilter = new Document("snapResult", 4);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｈ澶囨姄鎷嶆暟鎹笂浼犲強鏃舵��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<SnapshotDelayMonitorResult> vehicleTimelyUploadAccuracy(DataCenterQuery query) {
- return null;
+ public Result vehicleTimelyUploadAccuracy(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, SnapshotDelayMonitorResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<SnapshotDelayMonitorResult> resultList = mongoTemplate.find(query, SnapshotDelayMonitorResult.class);
+ // 缁熻鏁�
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｈ澶噓rl鍙敤鎬�
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<PicAccessResult> vehicleUrlAccuracy(DataCenterQuery query) {
- return null;
+ public Result vehicleUrlAccuracy(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, PicAccessResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<PicAccessResult> resultList = mongoTemplate.find(query, PicAccessResult.class);
+ // 缁熻鏁�
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 杞﹁締锛氳溅杈嗗崱鍙ｈ澶囨姄鎷嶆暟鎹ぇ鍥惧彲鐢ㄦ��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<VehicleDeviceSamplingResult> vehicleBigImgAccuracy(DataCenterQuery query) {
- return null;
+ public Result vehicleBigImgAccuracy(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, VehicleDeviceSamplingResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<VehicleDeviceSamplingResult> resultList = mongoTemplate.find(query, VehicleDeviceSamplingResult.class);
+ // 缁熻鏁�
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氳鍥惧簱瀵规帴绋冲畾鎬�
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<SnapshotDataMonitorResult> faceViewDockStable(DataCenterQuery query) {
- return null;
+ public Result faceViewDockStable(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
+
+ Document normalFilter = new Document("resultType", 1);
+ Document noDataFilter = new Document("resultType", 2);
+ Document trFilter = new Document("resultType", 3);
+ Document littleFilter = new Document("resultType", 4);
+ List<Document> lists = Arrays.asList(normalFilter, noDataFilter, trFilter, littleFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氱偣浣嶅湪绾跨巼
*
- * @param query
+ * @param params
* @return
*/
- // TODO 鏇存崲鍝嶅簲缁撴灉
@Override
- public List<TMonitorVO> facePointOnlineRate(DataCenterQuery query) {
- return null;
+ public Result facePointOnlineRate(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
+
+ Document normalFilter = new Document("resultType", 1);
+ Document noDataFilter = new Document("resultType", 2);
+ Document trFilter = new Document("resultType", 3);
+ Document littleFilter = new Document("resultType", 4);
+ List<Document> lists = Arrays.asList(normalFilter, noDataFilter, trFilter, littleFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氱洰褰曚竴鑷寸巼
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<TMonitorVO> faceDirectoryConsistency(DataCenterQuery query) {
- return null;
+ public Result faceDirectoryConsistency(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("serialNumber.showValue", "ip.showValue", "name.showValue");
+ Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, MonitorQualifyResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
+
+ Document ipErrFilter = new Document("ip.error", true);
+ Document macdzErrFilter = new Document("macdz.error", true);
+ Document latitudeErrFilter = new Document("latitude.error", true);
+ Document longitudeErrFilter = new Document("longitude.error", true);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$serialNumber.showValue")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氫汉鑴稿崱鍙ｄ俊鎭噰闆嗗噯纭巼
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<CrossDetailResult> faceCollectionConsistency(DataCenterQuery query) {
- return null;
+ public Result faceCollectionConsistency(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "crossName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, CrossDetailResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<CrossDetailResult> resultList = mongoTemplate.find(query, CrossDetailResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_cross_detail");
+
+ Document ipErrFilter = new Document("lalType", 1);
+ Document macdzErrFilter = new Document("lalType", 2);
+ Document latitudeErrFilter = new Document("lalType", 3);
+ Document longitudeErrFilter = new Document("lalType", 4);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氳澶囨姄鎷嶅浘鐗囧悎鏍兼��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<MonitoringDetailResult> faceImgQualification(DataCenterQuery query) {
- return null;
+ public Result faceImgQualification(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "cameraName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, MonitoringDetailResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<MonitoringDetailResult> resultList = mongoTemplate.find(query, MonitoringDetailResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_monitoring_detail");
+
+ Document ipErrFilter = new Document("lalType", 1);
+ Document macdzErrFilter = new Document("lalType", 2);
+ Document latitudeErrFilter = new Document("lalType", 3);
+ Document longitudeErrFilter = new Document("lalType", 4);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氳澶囨姄鎷嶅浘鐗囨椂閽熷噯纭��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<FaceDeviceInspectionResult> faceCapturesImagesAccuracy(DataCenterQuery query) {
- return null;
+ public Result faceCapturesImagesAccuracy(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, FaceDeviceInspectionResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<FaceDeviceInspectionResult> resultList = mongoTemplate.find(query, FaceDeviceInspectionResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");
+
+ Document ipErrFilter = new Document("snapResult", 1);
+ Document macdzErrFilter = new Document("snapResult", 2);
+ Document longitudeErrFilter = new Document("snapResult", 4);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氭姄鎷嶄汉鑴告暟鎹笂浼犲強鏃舵��
*
- * @param query
+ * @param params
* @return
*/
@Override
- public List<FaceDeviceInspectionResult> faceTimelyUpload(DataCenterQuery query) {
- return null;
+ public Result faceTimelyUpload(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, FaceDeviceInspectionResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<FaceDeviceInspectionResult> resultList = mongoTemplate.find(query, FaceDeviceInspectionResult.class);
+
+ // 缁熻鏁伴噺
+ MongoDatabase database = mongoTemplate.getDb();
+ MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");
+
+ Document ipErrFilter = new Document("snapResult", 1);
+ Document macdzErrFilter = new Document("snapResult", 2);
+ Document longitudeErrFilter = new Document("snapResult", 4);
+
+ List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, longitudeErrFilter);
+ List<Integer> rList = lists.stream().map(filter -> {
+ // 鏋勫缓鑱氬悎绠￠亾
+ List<Document> pipeline = Arrays.asList(
+ new Document("$match", filter),
+ // $group 鍘婚噸
+ new Document("$group", new Document("_id", "$externalIndexCode")),
+ new Document("$count", "uniqueDeviceIds")
+ );
+ // 鎵ц鑱氬悎鏌ヨ骞惰幏鍙栫粨鏋�
+ AggregateIterable<Document> result = collection.aggregate(pipeline);
+ Integer uniqueDeviceIdCount = 0;
+ for (Document doc : result) {
+ uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
+ break; // 涓嶉渶瑕佺户缁亶鍘嗭紝鍥犱负 $count 鍙細浜х敓涓�涓粨鏋�
+ }
+ return uniqueDeviceIdCount;
+ }).collect(Collectors.toList());
+
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", rList);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
}
/**
* 浜鸿劯锛氫汉鑴稿崱鍙ｈ澶囨姄鎷嶆暟鎹ぇ鍥惧彲鐢ㄦ��
*
+ * @param params
+ * @return
+ */
+ @Override
+ public Result faceAvailabilityOfLargeImg(DataCenterQuery params) {
+ List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
+ Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
+
+ long total = mongoTemplate.count(query, FaceDeviceSamplingResult.class);
+ MongoUtil.setPage(query, params, TIME_FIELD);
+ List<FaceDeviceSamplingResult> resultList = mongoTemplate.find(query, FaceDeviceSamplingResult.class);
+ // 缁熻鏁�
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", resultList);
+ return Result.ok().data(map).total(total);
+ }
+ /**
+ * 瑙嗛锛氳棰戝浘鍍忚祫婧愬畨鍏ㄧ鐞�
+ *
* @param query
* @return
*/
@Override
- public List<FaceDeviceSamplingResult> faceAvailabilityOfLargeImg(DataCenterQuery query) {
- return null;
+ public Result videoImageResourceSecurity(DataCenterQuery query) {
+ Page<ImageResourceSecurityDetail> page = PageHelper.startPage(query.getPageNum(), query.getPageSize());
+ securityDetailMapper.selectImageResourceSecurityDetailList(query);
+
+ // 缁熻鏁�
+ HashMap<String, Object> map = new HashMap<>();
+ map.put("count", CollectionUtils.EMPTY_COLLECTION);
+ map.put("list", page);
+ return Result.ok().data(map).total(page.getTotal());
+
}
}
--
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