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@ -14,9 +14,7 @@ import com.ruoyi.common.utils.uuid.IdUtils; |
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import com.ruoyi.system.service.ISysConfigService; |
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import com.zc.business.controller.VideoController; |
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import com.zc.business.domain.*; |
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import com.zc.business.enums.UniversalEnum; |
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import com.zc.business.enums.ValueConverter; |
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import com.zc.business.enums.WarningSubclassEnum; |
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import com.zc.business.enums.*; |
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import com.zc.business.mapper.*; |
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import com.zc.business.service.IDcEventService; |
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import com.zc.business.service.IDcTrafficPoliceService; |
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@ -41,6 +39,7 @@ import org.springframework.transaction.annotation.Transactional; |
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import javax.annotation.Resource; |
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import java.io.IOException; |
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import java.text.DecimalFormat; |
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import java.text.SimpleDateFormat; |
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import java.time.Duration; |
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import java.time.LocalDate; |
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@ -51,6 +50,8 @@ import java.time.temporal.ChronoUnit; |
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import java.util.*; |
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import java.util.concurrent.ThreadLocalRandom; |
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import java.util.concurrent.TimeUnit; |
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import java.util.regex.Matcher; |
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import java.util.regex.Pattern; |
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import java.util.stream.Collectors; |
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/** |
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@ -1268,6 +1269,7 @@ public class DcWarningServiceImpl implements IDcWarningService { |
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qywxUtil.sendMessageByWxUserId(wxUserIds, message); |
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} |
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//误报解除
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@Override |
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public Integer falseAlarmResolution(DcWarning dcWarning) { |
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@ -1400,4 +1402,247 @@ public class DcWarningServiceImpl implements IDcWarningService { |
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public List<DcNoStakeWarningTable> selectStakeWarningTable() { |
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return dcWarningMapper.selectStakeWarningTable(); |
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} |
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@Override |
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public Map<String, Object> selectVideoReviewEventTypeList(DcWarning dcWarning) { |
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dcWarning.setAuditFlag(UniversalEnum.ONE.getNumber()); |
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List<DcWarning> dcWarningsOne = dcWarningMapper.selectVideoReviewEventTypeList(dcWarning); |
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dcWarning.setAuditFlag(UniversalEnum.TWO.getNumber()); |
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List<DcWarning> dcWarningsTwo = dcWarningMapper.selectVideoReviewEventTypeList(dcWarning); |
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// 使用枚举类来定义类型映射
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Map<Integer, String> warningTypeMap = Arrays.stream(WarningTypeEnum.values()) |
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.collect(Collectors.toMap(WarningTypeEnum::getCode, WarningTypeEnum::getInfo)); |
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// 统计 dcWarningsOne 每种类型的数量
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Map<Integer, Long> typeCountOne = dcWarningsOne.stream() |
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.collect(Collectors.groupingBy(DcWarning::getWarningType, Collectors.counting())); |
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// 统计 dcWarningsTwo 每种类型的数量
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Map<Integer, Long> typeCountTwo = dcWarningsTwo.stream() |
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.collect(Collectors.groupingBy(DcWarning::getWarningType, Collectors.counting())); |
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// 初始化结果集
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Map<String, Object> result = new LinkedHashMap<>(); |
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DecimalFormat decimalFormat = new DecimalFormat("0"); |
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// 遍历所有类型，计算数量和百分比
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warningTypeMap.forEach((type, getWarningSource) -> { |
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long countOne = typeCountOne.getOrDefault(type, 0L); |
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long countTwo = typeCountTwo.getOrDefault(type, 0L); |
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// 计算总数量
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long totalCount = countOne + countTwo; |
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// 计算百分比并格式化
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double percentageOne = totalCount == 0 ? 0 : ((double) countOne / totalCount) * 100; |
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double percentageTwo = totalCount == 0 ? 0 : ((double) countTwo / totalCount) * 100; |
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String formattedPercentageOne = decimalFormat.format(percentageOne); |
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String formattedPercentageTwo = decimalFormat.format(percentageTwo); |
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// 只保留有非零数量的类型
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if (countOne > 0 || countTwo > 0) { |
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// 存储结果
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Map<String, Object> typeResult = new LinkedHashMap<>(); |
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typeResult.put("AuditFlag1_Count", countOne); |
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typeResult.put("AuditFlag2_Count", countTwo); |
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typeResult.put("AuditFlag1_Percentage", formattedPercentageOne+"%"); |
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typeResult.put("AuditFlag2_Percentage", formattedPercentageTwo+"%"); |
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result.put(getWarningSource, typeResult); |
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} |
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/* // 存储结果
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Map<String, Object> typeResult = new LinkedHashMap<>(); |
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typeResult.put("AuditFlag1_Count", countOne); |
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typeResult.put("AuditFlag2_Count", countTwo); |
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typeResult.put("AuditFlag1_Percentage", formattedPercentageOne); |
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typeResult.put("AuditFlag2_Percentage", formattedPercentageTwo); |
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result.put(getWarningSource, typeResult); |
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*/ |
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}); |
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return result; |
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} |
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//视频复核路段
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@Override |
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public Map<String,Object> selectVideoReviewSectionDistribution(DcWarning dcWarning) { |
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dcWarning.setAuditFlag(UniversalEnum.ONE.getNumber()); |
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List<DcWarning> dcWarningsOne = dcWarningMapper.selectVideoReviewEventTypeList(dcWarning); |
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dcWarning.setAuditFlag(UniversalEnum.TWO.getNumber()); |
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List<DcWarning> dcWarningsTwo = dcWarningMapper.selectVideoReviewEventTypeList(dcWarning); |
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Map<String, Integer> eventOne = stakeMarkCount(dcWarningsOne); |
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Map<String, Integer> eventTwo = stakeMarkCount(dcWarningsTwo); |
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// 转换为百分比
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Map<String, String> eventOnePercents = convertToPercentage(eventOne, eventTwo); |
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Map<String, String> eventTwoPercents = convertToPercentage(eventTwo, eventOne); |
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// 提取所有的 key 并排序
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Set<String> allKeys = new TreeSet<>((key1, key2) -> { |
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int start1 = extractStartKm(key1); |
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int start2 = extractStartKm(key2); |
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return Integer.compare(start1, start2); |
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}); |
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allKeys.addAll(eventOne.keySet()); |
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allKeys.addAll(eventTwo.keySet()); |
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// 使用 LinkedHashMap 来保持插入顺序
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Map<String, Object> finalData = new LinkedHashMap<>(); |
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for (String key : allKeys) { |
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Map<String, Object> segmentData = new HashMap<>(); |
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segmentData.put("AuditFlag1_Count", eventOne.getOrDefault(key, 0)); |
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segmentData.put("AuditFlag2_Count", eventTwo.getOrDefault(key, 0)); |
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segmentData.put("AuditFlag1_Percentage", eventOnePercents.getOrDefault(key, "0%")); |
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segmentData.put("AuditFlag2_Percentage", eventTwoPercents.getOrDefault(key, "0%")); |
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finalData.put(key, segmentData); |
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} |
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return finalData; |
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} |
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//视频复核事件来源
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@Override |
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public Map<String, Object> videoReviewEventSource(DcWarning dcWarning) { |
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dcWarning.setAuditFlag(UniversalEnum.ONE.getNumber()); |
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List<DcWarning> dcWarningsOne = dcWarningMapper.selectVideoReviewEventTypeList(dcWarning); |
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dcWarning.setAuditFlag(UniversalEnum.TWO.getNumber()); |
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List<DcWarning> dcWarningsTwo = dcWarningMapper.selectVideoReviewEventTypeList(dcWarning); |
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// 使用枚举类来定义类型映射
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Map<Integer, String> warningTypeMap = Arrays.stream(WarningSourceEnum.values()) |
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.collect(Collectors.toMap(WarningSourceEnum::getCode, WarningSourceEnum::getDescription)); |
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// 统计 dcWarningsOne 每种类型的数量
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Map<Integer, Long> typeCountOne = dcWarningsOne.stream() |
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.collect(Collectors.groupingBy(DcWarning::getWarningType, Collectors.counting())); |
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// 统计 dcWarningsTwo 每种类型的数量
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Map<Integer, Long> typeCountTwo = dcWarningsTwo.stream() |
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.collect(Collectors.groupingBy(DcWarning::getWarningType, Collectors.counting())); |
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// 初始化结果集
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Map<String, Object> result = new LinkedHashMap<>(); |
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DecimalFormat decimalFormat = new DecimalFormat("0"); |
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// 遍历所有类型，计算数量和百分比
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warningTypeMap.forEach((type, warningType) -> { |
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long countOne = typeCountOne.getOrDefault(type, 0L); |
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long countTwo = typeCountTwo.getOrDefault(type, 0L); |
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// 计算总数量
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long totalCount = countOne + countTwo; |
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// 计算百分比并格式化
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double percentageOne = totalCount == 0 ? 0 : ((double) countOne / totalCount) * 100; |
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double percentageTwo = totalCount == 0 ? 0 : ((double) countTwo / totalCount) * 100; |
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String formattedPercentageOne = decimalFormat.format(percentageOne); |
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String formattedPercentageTwo = decimalFormat.format(percentageTwo); |
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// 只保留有非零数量的类型
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if (countOne > 0 || countTwo > 0) { |
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// 存储结果
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Map<String, Object> typeResult = new LinkedHashMap<>(); |
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typeResult.put("AuditFlag1_Count", countOne); |
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typeResult.put("AuditFlag2_Count", countTwo); |
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typeResult.put("AuditFlag1_Percentage", formattedPercentageOne+"%"); |
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typeResult.put("AuditFlag2_Percentage", formattedPercentageTwo+"%"); |
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result.put(warningType, typeResult); |
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} |
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/* // 存储结果
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Map<String, Object> typeResult = new LinkedHashMap<>(); |
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typeResult.put("AuditFlag1_Count", countOne); |
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typeResult.put("AuditFlag2_Count", countTwo); |
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typeResult.put("AuditFlag1_Percentage", formattedPercentageOne); |
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typeResult.put("AuditFlag2_Percentage", formattedPercentageTwo); |
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result.put(warningType, typeResult); |
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*/ |
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}); |
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return result; |
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} |
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@Override |
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public List<DcWarning> videoReviewEventSourceList(DcWarning dcWarning) { |
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return dcWarningMapper.selectVideoEventList(dcWarning); |
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} |
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//时间分布
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@Override |
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public Map<String, Object> videoReviewEventTime(DcWarning dcWarning) { |
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dcWarning.setAuditFlag(UniversalEnum.ONE.getNumber()); |
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List<DcWarning> dcWarningsOne = dcWarningMapper.selectVideoReviewEventTimeList(dcWarning); |
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dcWarning.setAuditFlag(UniversalEnum.TWO.getNumber()); |
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List<DcWarning> dcWarningsTwo = dcWarningMapper.selectVideoReviewEventTimeList(dcWarning); |
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return null; |
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} |
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public Map<String, Integer> stakeMarkCount(List<DcWarning> dcWarnings){ |
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Map<String, Integer> groupCountMap = new HashMap<>(); |
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for (DcWarning dcWarning : dcWarnings) { |
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String kmStr = dcWarning.getStakeMark(); |
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if (org.apache.commons.lang3.StringUtils.isBlank(kmStr)) { |
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continue; |
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} |
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String patternStr = "^K\\d+(\\+\\d+)?$"; |
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Pattern pattern = Pattern.compile(patternStr); |
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Matcher matcher = pattern.matcher(kmStr); |
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if (!matcher.matches()) { |
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continue; |
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} |
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int km = Integer.parseInt(kmStr.replaceAll("^K", "").split("\\+")[0]); // 假设+后面还有其他内容，我们只取+前面的部分
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// 计算分组startKm，确保是5的倍数且不大于km
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int startKm = ((km / 10) * 10) + (km % 10 >= 5 ? 10 : 0); |
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startKm = startKm - startKm % 5; // 确保startKm是5的倍数
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if (startKm%5==0){ |
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if ((startKm / 5) % 2 == 0) { |
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startKm -= 5; |
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} |
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} |
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// 计算分组endKm，找到比startKm大、最接近的、以5结尾的数
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int endKm = startKm + 10; |
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while (endKm % 5 != 0) { |
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endKm++; |
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} |
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// 构造分组key
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String groupKey = "K" + startKm + "-" + "K" + endKm; |
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if (groupCountMap.get(groupKey)==null){ //事件还为存入map
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groupCountMap.putIfAbsent(groupKey, UniversalEnum.ONE.getNumber());//事件类型不存在存1
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}else { |
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Integer currentSum = groupCountMap.get(groupKey); |
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groupCountMap.put(groupKey, currentSum +1 ); |
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} |
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} |
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return groupCountMap; |
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} |
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// 提取 "Kxx-xxx" 格式中的起始公里数
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private int extractStartKm(String key) { |
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String[] parts = key.split("-"); |
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if (parts.length == 2 && parts[0].matches("K\\d+")) { |
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return Integer.parseInt(parts[0].substring(1)); |
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} |
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throw new IllegalArgumentException("Invalid stake mark format: " + key); |
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} |
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public Map<String, String> convertToPercentage(Map<String, Integer> countMap1, Map<String, Integer> countMap2) { |
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Map<String, String> percentageMap = new HashMap<>(); |
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DecimalFormat df = new DecimalFormat("0"); |
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for (String key : countMap1.keySet()) { |
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int count1 = countMap1.get(key); |
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int count2 = countMap2.getOrDefault(key, 0); |
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int totalCount = count1 + count2; |
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if (totalCount > 0) { |
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double percentage = (double) count1 / totalCount * 100; |
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percentageMap.put(key, df.format(percentage) + "%"); |
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} else { |
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percentageMap.put(key, "0%"); |
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} |
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} |
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return percentageMap; |
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}} |
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