| | |
| | | } |
| | | |
| | | @Override |
| | | public PaginationData<MediaFileEntity> mediaQuerys(Integer page, Integer pageSize, String workspaceId) { |
| | | // 创建查询条件对象 |
| | | LambdaQueryWrapper<MediaFileEntity> queryWrapper = new LambdaQueryWrapper<>(); |
| | | |
| | | // 添加查询条件 |
| | | queryWrapper.eq(MediaFileEntity::getWorkspaceId, workspaceId); |
| | | |
| | | |
| | | queryWrapper.last("ORDER BY JSON_EXTRACT(metadata, '$.createdTime') DESC"); |
| | | |
| | | // 执行查询获取所有结果 |
| | | List<MediaFileEntity> allResults = mapper.selectList(queryWrapper); |
| | | |
| | | // 处理结果去重并设置任务名称 |
| | | Map<String, MediaFileEntity> uniqueFileMap = new LinkedHashMap<>(); |
| | | List<MediaFileEntity> uniqueResults = allResults.stream() |
| | | .peek(mediaFile -> { |
| | | String taskNameResult = waylineJobService.getName(mediaFile.getJobId()); |
| | | mediaFile.setJobName(taskNameResult); |
| | | }) |
| | | .filter(mediaFile -> uniqueFileMap.putIfAbsent(mediaFile.getJobId(), mediaFile) == null) |
| | | .collect(Collectors.toList()); |
| | | |
| | | // 计算分页信息 |
| | | int total = uniqueResults.size(); |
| | | int start = (page - 1) * pageSize; |
| | | int end = Math.min(start + pageSize, total); |
| | | |
| | | // 获取当前页的结果 |
| | | List<MediaFileEntity> pageResults = uniqueResults.subList(start, end); |
| | | |
| | | // 创建临时的 Page 对象 |
| | | Page<MediaFileEntity> resultPage = new Page<>(page, pageSize); |
| | | resultPage.setRecords(pageResults); |
| | | resultPage.setTotal(total); |
| | | |
| | | // 返回分页数据 |
| | | return new PaginationData<>(pageResults, new Pagination(resultPage)); |
| | | } |
| | | |
| | | @Override |
| | | public PaginationData<MediaFileNailEntity> mediaNailQuery(Integer page, Integer pageSize, Long updateStart, Long updateEnd, Long photoStart, Long photoEnd, String jobName, String workspaceId, String type) { |
| | | // 创建查询条件对象 |
| | | LambdaQueryWrapper<MediaFileNailEntity> queryWrapper = new LambdaQueryWrapper<>(); |
| | |
| | | // 分页查询 |
| | | Page<MediaFileEntity> page = new Page<>(pageNum, pageSize); |
| | | |
| | | // 使用 QueryWrapper 来执行 DISTINCT 查询,并且选择 payload 和 create_time 字段 |
| | | // 使用 QueryWrapper 执行查询 |
| | | QueryWrapper<MediaFileEntity> queryWrapper = new QueryWrapper<>(); |
| | | queryWrapper |
| | | .select("DISTINCT job_id", "payload", "create_time") // 选择 job_id, payload 和 create_time 字段 |
| | | .eq("workspace_id", workspaceId) |
| | | .orderByDesc("create_time"); |
| | | .orderByDesc("create_time"); // 根据 create_time 降序排序 |
| | | |
| | | // 执行分页查询 |
| | | Page<MediaFileEntity> resultPage = mapper.selectPage(page, queryWrapper); |
| | | List<MediaFileEntity> result = resultPage.getRecords(); |
| | | |
| | | |
| | | // 根据 job_id 字段进行去重 |
| | | Map<String, MediaFileEntity> uniqueFilesMap = result.stream() |
| | | .collect(Collectors.toMap( |
| | | MediaFileEntity::getJobId, |
| | | entity -> entity, |
| | | (existing, replacement) -> existing // 如果有重复的,保留已有的 |
| | | )); |
| | | |
| | | List<MediaFileEntity> uniqueFiles = new ArrayList<>(uniqueFilesMap.values()); |
| | | |
| | | |
| | | // 为每个 MediaFileEntity 设置 jobName |
| | | for (MediaFileEntity mediaFile : result) { |
| | | for (MediaFileEntity mediaFile : uniqueFiles) { |
| | | String taskNameResult = waylineJobService.getName(mediaFile.getJobId()); |
| | | mediaFile.setJobName(taskNameResult); |
| | | } |
| | | |
| | | // 使用分页对象构造 Pagination |
| | | Pagination pagination = new Pagination(resultPage); |
| | | return new PaginationData<>(result, pagination); |
| | | Page<MediaFileEntity> newPage = new Page<>(pageNum, pageSize); |
| | | newPage.setRecords(uniqueFiles); |
| | | newPage.setTotal(resultPage.getTotal()); // 设置总记录数为原始查询的总记录数 |
| | | |
| | | Pagination pagination = new Pagination(newPage); |
| | | return new PaginationData<>(uniqueFiles, pagination); |
| | | } |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | @Override |
| | | public PaginationData<MediaFileEntity> getPhotoByJobId(int pageNum, int pageSize, String workspaceId, String jobId) { |
| | | // 分页查询 |