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feat(dataset): 实现数据集模型配置中的全量维度指标扩展功能
- 实现 expandIncludesAllModels 方法处理全量维度指标映射 - 根据模型ID分组收集维度和指标并合并到配置中 - 将 includesAll 标志重置为 false 避免重复扩展 - 确保在线状态的维度和指标被正确包含到数据集中
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@@ -13,6 +13,7 @@ import com.tencent.supersonic.common.pojo.enums.TypeEnums;
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import com.tencent.supersonic.common.pojo.exception.InvalidArgumentException;
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import com.tencent.supersonic.common.util.BeanMapper;
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import com.tencent.supersonic.headless.api.pojo.DataSetDetail;
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import com.tencent.supersonic.headless.api.pojo.DataSetModelConfig;
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import com.tencent.supersonic.headless.api.pojo.MetaFilter;
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import com.tencent.supersonic.headless.api.pojo.QueryConfig;
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import com.tencent.supersonic.headless.api.pojo.request.*;
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@@ -52,6 +53,9 @@ public class DataSetServiceImpl extends ServiceImpl<DataSetDOMapper, DataSetDO>
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@Autowired
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private MetricService metricService;
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@Autowired
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private ModelService modelService;
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@Override
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public DataSetResp save(DataSetReq dataSetReq, User user) {
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dataSetReq.createdBy(user.getName());
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@@ -77,7 +81,13 @@ public class DataSetServiceImpl extends ServiceImpl<DataSetDOMapper, DataSetDO>
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@Override
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public DataSetResp getDataSet(Long id) {
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DataSetDO dataSetDO = getById(id);
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return convert(dataSetDO);
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DataSetResp dataSetResp = convert(dataSetDO);
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if (dataSetResp.getDataSetDetail() != null) {
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expandIncludesAllModels(dataSetResp);
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}
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return dataSetResp;
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}
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@Override
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@@ -273,6 +283,59 @@ public class DataSetServiceImpl extends ServiceImpl<DataSetDOMapper, DataSetDO>
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.map(Object::toString).collect(Collectors.toList());
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}
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private void expandIncludesAllModels(DataSetResp dataSetResp) {
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List<DataSetModelConfig> configs = dataSetResp.getDataSetDetail().getDataSetModelConfigs();
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if (CollectionUtils.isEmpty(configs)) {
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return;
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}
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Set<Long> includeAllModelIds = configs.stream()
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.filter(DataSetModelConfig::getIncludesAll)
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.map(DataSetModelConfig::getId)
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.collect(Collectors.toSet());
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if (CollectionUtils.isEmpty(includeAllModelIds)) {
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return;
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}
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MetaFilter metaFilter = new MetaFilter();
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metaFilter.setModelIds(new ArrayList<>(includeAllModelIds));
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metaFilter.setStatus(StatusEnum.ONLINE.getCode());
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List<DimensionResp> allDimensions = dimensionService.getDimensions(metaFilter);
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List<MetricResp> allMetrics = metricService.getMetrics(metaFilter);
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Map<Long, List<Long>> modelDimensionMap = allDimensions.stream()
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.collect(Collectors.groupingBy(
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DimensionResp::getModelId,
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Collectors.mapping(DimensionResp::getId, Collectors.toList())
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));
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Map<Long, List<Long>> modelMetricMap = allMetrics.stream()
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.collect(Collectors.groupingBy(
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MetricResp::getModelId,
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Collectors.mapping(MetricResp::getId, Collectors.toList())
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));
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for (DataSetModelConfig config : configs) {
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if (Boolean.TRUE.equals(config.getIncludesAll())) {
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Long modelId = config.getId();
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List<Long> modelDimensions = modelDimensionMap.getOrDefault(modelId, Lists.newArrayList());
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Set<Long> existingDimensions = new HashSet<>(config.getDimensions());
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existingDimensions.addAll(modelDimensions);
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config.setDimensions(new ArrayList<>(existingDimensions));
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List<Long> modelMetrics = modelMetricMap.getOrDefault(modelId, Lists.newArrayList());
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Set<Long> existingMetrics = new HashSet<>(config.getMetrics());
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existingMetrics.addAll(modelMetrics);
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config.setMetrics(new ArrayList<>(existingMetrics));
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config.setIncludesAll(false);
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}
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}
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}
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public Long getDataSetIdFromSql(String sql, User user) {
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List<DataSetResp> dataSets = null;
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try {
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