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refactor(videoreview): 简化机位评价数据结构

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- 修改机位评价数据结构从嵌套Map改为简单Map
- 更新数据库映射文件中的类型处理器配置
- 调整评价统计逻辑以适应新的数据结构
- 优化导出功能以支持新格式的机位评价展示
- 更新相关实体类、DTO类及Mapper接口定义
- 移除不再使用的嵌套Map相关代码和依赖
This commit is contained in:
Jerry Yan
2025-12-15 08:33:48 +08:00
parent c9c4d9454a
commit 844bc318ae
7 changed files with 38 additions and 70 deletions
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75
src/main/java/com/ycwl/basic/service/impl/VideoReviewServiceImpl.java
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@@ -31,7 +31,6 @@ import java.math.BigDecimal;
import java.math.RoundingMode;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;
/**
* 视频评价Service实现类
@@ -160,7 +159,7 @@ public class VideoReviewServiceImpl implements VideoReviewService {
// 2. 收集所有机位ID并批量查询机位名称
Set<Long> allDeviceIds = new LinkedHashSet<>();
for (VideoReviewRespDTO review : list) {
Map<String, Map<String, Integer>> cameraRating = review.getCameraPositionRating();
Map<String, Integer> cameraRating = review.getCameraPositionRating();
if (cameraRating != null && !cameraRating.isEmpty()) {
// 收集机位ID (按顺序)
for (String deviceIdStr : cameraRating.keySet()) {
@@ -195,12 +194,7 @@ public class VideoReviewServiceImpl implements VideoReviewService {
headerStyle.setFillForegroundColor(IndexedColors.GREY_25_PERCENT.getIndex());
headerStyle.setFillPattern(FillPatternType.SOLID_FOREGROUND);
// 5. 创建单元格自动换行样式
CellStyle wrapStyle = workbook.createCellStyle();
wrapStyle.setWrapText(true);
wrapStyle.setVerticalAlignment(VerticalAlignment.TOP);
// 6. 生成动态表头 - 使用机位名称作为表头
// 5. 生成动态表头 - 使用机位名称作为表头
Row headerRow = sheet.createRow(0);
List<String> headerList = new ArrayList<>();
headerList.add("评价ID");
@@ -228,7 +222,7 @@ public class VideoReviewServiceImpl implements VideoReviewService {
cell.setCellStyle(headerStyle);
}
// 7. 填充数据
// 6. 填充数据
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
int rowNum = 1;
@@ -246,37 +240,21 @@ public class VideoReviewServiceImpl implements VideoReviewService {
row.createCell(colIndex++).setCellValue(review.getContent());
// 机位评价列 - 按表头顺序填充
Map<String, Map<String, Integer>> cameraRating = review.getCameraPositionRating();
Map<String, Integer> cameraRating = review.getCameraPositionRating();
for (Long deviceId : sortedDeviceIds) {
String deviceIdStr = String.valueOf(deviceId);
Map<String, Integer> dimensions = null;
Integer rating = null;
if (cameraRating != null && cameraRating.containsKey(deviceIdStr)) {
dimensions = cameraRating.get(deviceIdStr);
}
// 构建单元格内容: 只显示评分维度(不再重复机位名称)
StringBuilder cellContent = new StringBuilder();
if (dimensions != null && !dimensions.isEmpty()) {
// 按维度名排序,保证一致性
List<Map.Entry<String, Integer>> sortedDimensions = dimensions.entrySet().stream()
.sorted(Map.Entry.comparingByKey())
.collect(Collectors.toList());
boolean first = true;
for (Map.Entry<String, Integer> dimEntry : sortedDimensions) {
if (!first) {
cellContent.append("\n");
}
cellContent.append(dimEntry.getKey()).append("：").append(dimEntry.getValue());
first = false;
}
rating = cameraRating.get(deviceIdStr);
}
Cell cell = row.createCell(colIndex++);
cell.setCellValue(cellContent.toString());
cell.setCellStyle(wrapStyle);
if (rating != null) {
cell.setCellValue(rating);
} else {
cell.setCellValue("");
}
}
// 时间列
@@ -284,17 +262,12 @@ public class VideoReviewServiceImpl implements VideoReviewService {
row.createCell(colIndex).setCellValue(review.getUpdateTime() != null ? sdf.format(review.getUpdateTime()) : "");
}
// 8. 自动调整列宽
// 7. 自动调整列宽
for (int i = 0; i < headerList.size(); i++) {
sheet.autoSizeColumn(i);
// 对于机位列,设置最小宽度以便换行内容显示完整
if (i >= 7 && i < 7 + sortedDeviceIds.size()) {
int currentWidth = sheet.getColumnWidth(i);
sheet.setColumnWidth(i, Math.max(currentWidth, 5000)); // 最小25个字符宽度
}
}
// 9. 写入输出流
// 8. 写入输出流
workbook.write(outputStream);
workbook.close();
@@ -302,32 +275,28 @@ public class VideoReviewServiceImpl implements VideoReviewService {
}
/**
* 计算机位评价各维度的平均值
* 计算各机位的平均评分
*/
private Map<String, BigDecimal> calculateCameraPositionAverage() {
List<Map<String, Map<String, Integer>>> allRatings = videoReviewMapper.selectAllCameraPositionRatings();
List<Map<String, Integer>> allRatings = videoReviewMapper.selectAllCameraPositionRatings();
if (allRatings == null || allRatings.isEmpty()) {
return new HashMap<>();
}
// 统计各维度的总分和次数
Map<String, List<Integer>> dimensionScores = new HashMap<>();
for (Map<String, Map<String, Integer>> rating : allRatings) {
// 统计各机位的总分和次数
Map<String, List<Integer>> deviceScores = new HashMap<>();
for (Map<String, Integer> rating : allRatings) {
if (rating == null) continue;
// 遍历每个机位
for (Map<String, Integer> deviceRatings : rating.values()) {
if (deviceRatings == null) continue;
// 遍历该机位的每个维度
for (Map.Entry<String, Integer> entry : deviceRatings.entrySet()) {
dimensionScores.computeIfAbsent(entry.getKey(), k -> new ArrayList<>()).add(entry.getValue());
}
// 遍历每个机位的评分
for (Map.Entry<String, Integer> entry : rating.entrySet()) {
deviceScores.computeIfAbsent(entry.getKey(), k -> new ArrayList<>()).add(entry.getValue());
}
}
// 计算平均值
Map<String, BigDecimal> result = new HashMap<>();
for (Map.Entry<String, List<Integer>> entry : dimensionScores.entrySet()) {
for (Map.Entry<String, List<Integer>> entry : deviceScores.entrySet()) {
double avg = entry.getValue().stream().mapToInt(Integer::intValue).average().orElse(0.0);
result.put(entry.getKey(), BigDecimal.valueOf(avg).setScale(2, RoundingMode.HALF_UP));
}