mirror of
https://github.com/tencentmusic/supersonic.git
synced 2025-12-11 03:58:14 +00:00
(improvement)(semantic) support metric relate dimension setting (#229)
Co-authored-by: jolunoluo
This commit is contained in:
@@ -47,9 +47,9 @@ public interface SemanticInterpreter {
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ModelSchema getModelSchema(Long model, Boolean cacheEnable);
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PageInfo<DimensionResp> getDimensionPage(PageDimensionReq pageDimensionCmd);
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PageInfo<DimensionResp> getDimensionPage(PageDimensionReq pageDimensionReq);
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PageInfo<MetricResp> getMetricPage(PageMetricReq pageMetricCmd, User user);
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PageInfo<MetricResp> getMetricPage(PageMetricReq pageDimensionReq, User user);
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List<DomainResp> getDomainList(User user);
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@@ -0,0 +1,13 @@
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package com.tencent.supersonic.chat.api.pojo;
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import lombok.Data;
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@Data
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public class RelateSchemaElement {
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private Long dimensionId;
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private boolean isNecessary;
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}
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@@ -22,10 +22,9 @@ public class SchemaElement implements Serializable {
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private String bizName;
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private Long useCnt;
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private SchemaElementType type;
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private List<String> alias;
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private List<SchemaValueMap> schemaValueMaps;
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private List<RelateSchemaElement> relateSchemaElements;
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private String defaultAgg;
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@@ -16,6 +16,6 @@ public class QueryDataReq {
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private Set<QueryFilter> dimensionFilters = new HashSet<>();
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private Set<QueryFilter> metricFilters = new HashSet<>();
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private DateConf dateInfo;
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private Long queryId = 7L;
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private Integer parseId = 2;
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private Long queryId;
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private Integer parseId;
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}
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@@ -0,0 +1,13 @@
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package com.tencent.supersonic.chat.api.pojo.request;
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import lombok.Data;
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@Data
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public class RecommendReq {
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private Long modelId;
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private Long metricId;
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}
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@@ -4,9 +4,13 @@ import static com.tencent.supersonic.chat.api.pojo.SchemaElementType.METRIC;
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import static com.tencent.supersonic.chat.query.rule.QueryMatchOption.OptionType.REQUIRED;
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import static com.tencent.supersonic.chat.query.rule.QueryMatchOption.RequireNumberType.AT_LEAST;
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import com.google.common.collect.Lists;
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import com.tencent.supersonic.auth.api.authentication.pojo.User;
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import com.tencent.supersonic.chat.api.pojo.ChatContext;
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import com.tencent.supersonic.chat.api.pojo.ModelSchema;
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import com.tencent.supersonic.chat.api.pojo.QueryContext;
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import com.tencent.supersonic.chat.api.pojo.RelateSchemaElement;
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import com.tencent.supersonic.chat.api.pojo.SchemaElement;
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import com.tencent.supersonic.chat.api.pojo.SchemaElementMatch;
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import com.tencent.supersonic.chat.api.pojo.SchemaElementType;
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import com.tencent.supersonic.chat.api.pojo.request.ChatDefaultConfigReq;
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@@ -24,7 +28,11 @@ import com.tencent.supersonic.semantic.api.model.response.QueryResultWithSchemaR
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import java.time.LocalDate;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Map;
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import java.util.Objects;
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import java.util.Set;
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import java.util.stream.Collectors;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.collections.CollectionUtils;
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@@ -66,7 +74,6 @@ public abstract class MetricSemanticQuery extends RuleSemanticQuery {
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for (SchemaElementMatch schemaElementMatch : candidateElementMatches) {
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SchemaElementType type = schemaElementMatch.getElement().getType();
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if (SchemaElementType.DIMENSION.equals(type) || SchemaElementType.VALUE.equals(type)) {
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if (!blackDimIdList.contains(schemaElementMatch.getElement().getId())) {
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filteredMatches.add(schemaElementMatch);
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@@ -79,9 +86,54 @@ public abstract class MetricSemanticQuery extends RuleSemanticQuery {
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filteredMatches.add(schemaElementMatch);
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}
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}
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filteredMatches = metricRelateDimensionCheck(filteredMatches, modelId);
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return filteredMatches;
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}
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private List<SchemaElementMatch> metricRelateDimensionCheck(List<SchemaElementMatch> elementMatches, Long modelId) {
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List<SchemaElementMatch> filterSchemaElementMatch = Lists.newArrayList();
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ModelSchema modelSchema = semanticInterpreter.getModelSchema(modelId, true);
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Set<SchemaElement> metricElements = modelSchema.getMetrics();
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Map<Long, SchemaElementMatch> valueElementMatchMap = elementMatches.stream()
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.filter(elementMatch ->
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SchemaElementType.VALUE.equals(elementMatch.getElement().getType())
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|| SchemaElementType.ID.equals(elementMatch.getElement().getType()))
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.collect(Collectors.toMap(elementMatch -> elementMatch.getElement().getId(), e -> e, (e1, e2) -> e1));
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Map<Long, SchemaElement> metricMap = metricElements.stream()
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.collect(Collectors.toMap(SchemaElement::getId, e -> e, (e1, e2) -> e2));
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for (SchemaElementMatch schemaElementMatch : elementMatches) {
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if (!SchemaElementType.METRIC.equals(schemaElementMatch.getElement().getType())) {
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filterSchemaElementMatch.add(schemaElementMatch);
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continue;
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}
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SchemaElement metric = metricMap.get(schemaElementMatch.getElement().getId());
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if (metric == null) {
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continue;
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}
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List<RelateSchemaElement> relateSchemaElements = metric.getRelateSchemaElements();
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if (CollectionUtils.isEmpty(relateSchemaElements)) {
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filterSchemaElementMatch.add(schemaElementMatch);
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continue;
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}
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List<Long> necessaryDimensionIds = relateSchemaElements.stream()
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.filter(RelateSchemaElement::isNecessary).map(RelateSchemaElement::getDimensionId)
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.collect(Collectors.toList());
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boolean flag = true;
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for (Long necessaryDimensionId : necessaryDimensionIds) {
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if (!valueElementMatchMap.containsKey(necessaryDimensionId)) {
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flag = false;
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break;
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}
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}
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if (flag) {
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filterSchemaElementMatch.add(schemaElementMatch);
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}
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}
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return filterSchemaElementMatch;
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}
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@Override
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public void fillParseInfo(Long modelId, QueryContext queryContext, ChatContext chatContext) {
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super.fillParseInfo(modelId, queryContext, chatContext);
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@@ -1,21 +1,15 @@
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package com.tencent.supersonic.chat.rest;
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import com.tencent.supersonic.auth.api.authentication.utils.UserHolder;
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import com.tencent.supersonic.chat.api.pojo.request.QueryReq;
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import com.tencent.supersonic.chat.api.pojo.request.RecommendReq;
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import com.tencent.supersonic.chat.api.pojo.response.RecommendQuestionResp;
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import com.tencent.supersonic.chat.api.pojo.response.RecommendResp;
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import com.tencent.supersonic.chat.service.RecommendService;
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import javax.servlet.http.HttpServletRequest;
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import javax.servlet.http.HttpServletResponse;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.web.bind.annotation.RestController;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.PathVariable;
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import org.springframework.web.bind.annotation.RequestParam;
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import java.util.List;
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/**
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@@ -30,31 +24,25 @@ public class RecommendController {
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@GetMapping("recommend/{modelId}")
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public RecommendResp recommend(@PathVariable("modelId") Long modelId,
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@RequestParam(value = "limit", required = false) Long limit,
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HttpServletRequest request,
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HttpServletResponse response) {
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QueryReq queryCtx = new QueryReq();
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queryCtx.setUser(UserHolder.findUser(request, response));
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queryCtx.setModelId(modelId);
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return recommendService.recommend(queryCtx, limit);
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@RequestParam(value = "limit", required = false) Long limit) {
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RecommendReq recommendReq = new RecommendReq();
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recommendReq.setModelId(modelId);
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return recommendService.recommend(recommendReq, limit);
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}
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@GetMapping("recommend/metric/{modelId}")
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public RecommendResp recommendMetricMode(@PathVariable("modelId") Long modelId,
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@RequestParam(value = "limit", required = false) Long limit,
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HttpServletRequest request,
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HttpServletResponse response) {
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QueryReq queryCtx = new QueryReq();
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queryCtx.setUser(UserHolder.findUser(request, response));
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queryCtx.setModelId(modelId);
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return recommendService.recommendMetricMode(queryCtx, limit);
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@RequestParam(value = "metric", required = false) Long metricId,
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@RequestParam(value = "limit", required = false) Long limit) {
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RecommendReq recommendReq = new RecommendReq();
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recommendReq.setModelId(modelId);
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recommendReq.setMetricId(metricId);
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return recommendService.recommendMetricMode(recommendReq, limit);
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}
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@GetMapping("recommend/question")
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public List<RecommendQuestionResp> recommendQuestion(
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@RequestParam(value = "modelId", required = false) Long modelId,
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HttpServletRequest request,
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HttpServletResponse response) {
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@RequestParam(value = "modelId", required = false) Long modelId) {
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return recommendService.recommendQuestion(modelId);
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}
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}
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@@ -1,10 +1,8 @@
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package com.tencent.supersonic.chat.service;
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import com.tencent.supersonic.chat.api.pojo.request.QueryReq;
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import com.tencent.supersonic.chat.api.pojo.request.RecommendReq;
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import com.tencent.supersonic.chat.api.pojo.response.RecommendQuestionResp;
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import com.tencent.supersonic.chat.api.pojo.response.RecommendResp;
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import java.util.List;
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/***
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@@ -12,9 +10,9 @@ import java.util.List;
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*/
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public interface RecommendService {
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RecommendResp recommend(QueryReq queryCtx, Long limit);
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RecommendResp recommend(RecommendReq recommendReq, Long limit);
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RecommendResp recommendMetricMode(QueryReq queryCtx, Long limit);
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RecommendResp recommendMetricMode(RecommendReq recommendReq, Long limit);
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List<RecommendQuestionResp> recommendQuestion(Long modelId);
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}
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@@ -2,8 +2,9 @@ package com.tencent.supersonic.chat.service.impl;
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import com.tencent.supersonic.chat.api.pojo.ModelSchema;
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import com.tencent.supersonic.chat.api.pojo.RelateSchemaElement;
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import com.tencent.supersonic.chat.api.pojo.SchemaElement;
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import com.tencent.supersonic.chat.api.pojo.request.QueryReq;
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import com.tencent.supersonic.chat.api.pojo.request.RecommendReq;
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import com.tencent.supersonic.chat.api.pojo.response.RecommendQuestionResp;
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import com.tencent.supersonic.chat.api.pojo.request.ChatConfigFilter;
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import com.tencent.supersonic.chat.api.pojo.response.ChatConfigResp;
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@@ -14,12 +15,15 @@ import java.util.ArrayList;
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import java.util.Comparator;
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import java.util.List;
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import java.util.Objects;
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import java.util.Optional;
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import java.util.Set;
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import java.util.stream.Collectors;
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import com.tencent.supersonic.chat.service.ConfigService;
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import com.tencent.supersonic.chat.service.RecommendService;
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import com.tencent.supersonic.chat.service.SemanticService;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.compress.utils.Lists;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import org.springframework.util.CollectionUtils;
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@@ -37,20 +41,40 @@ public class RecommendServiceImpl implements RecommendService {
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private SemanticService semanticService;
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@Override
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public RecommendResp recommend(QueryReq queryCtx, Long limit) {
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public RecommendResp recommend(RecommendReq recommendReq, Long limit) {
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if (Objects.isNull(limit) || limit <= 0) {
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limit = Long.MAX_VALUE;
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}
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log.debug("limit:{}", limit);
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Long modelId = queryCtx.getModelId();
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Long modelId = recommendReq.getModelId();
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if (Objects.isNull(modelId)) {
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return new RecommendResp();
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}
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ModelSchema modelSchema = semanticService.getModelSchema(modelId);
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List<Long> drillDownDimensions = Lists.newArrayList();
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Set<SchemaElement> metricElements = modelSchema.getMetrics();
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if (recommendReq.getMetricId() != null && !CollectionUtils.isEmpty(metricElements)) {
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Optional<SchemaElement> metric = metricElements.stream().filter(schemaElement ->
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recommendReq.getMetricId().equals(schemaElement.getId())
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&& !CollectionUtils.isEmpty(schemaElement.getRelateSchemaElements()))
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.findFirst();
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if (metric.isPresent()) {
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drillDownDimensions = metric.get().getRelateSchemaElements().stream()
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.map(RelateSchemaElement::getDimensionId).collect(Collectors.toList());
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}
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}
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final List<Long> drillDownDimensionsFinal = drillDownDimensions;
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List<SchemaElement> dimensions = modelSchema.getDimensions().stream()
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.filter(dim -> Objects.nonNull(dim) && Objects.nonNull(dim.getUseCnt()))
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.filter(dim -> {
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if (Objects.isNull(dim)) {
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return false;
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}
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if (!CollectionUtils.isEmpty(drillDownDimensionsFinal)) {
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return drillDownDimensionsFinal.contains(dim.getId());
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} else {
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return Objects.nonNull(dim.getUseCnt());
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}
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})
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.sorted(Comparator.comparing(SchemaElement::getUseCnt).reversed())
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.limit(limit)
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.map(dimSchemaDesc -> {
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@@ -84,14 +108,14 @@ public class RecommendServiceImpl implements RecommendService {
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}
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@Override
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public RecommendResp recommendMetricMode(QueryReq queryCtx, Long limit) {
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RecommendResp recommendResponse = recommend(queryCtx, limit);
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public RecommendResp recommendMetricMode(RecommendReq recommendReq, Long limit) {
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RecommendResp recommendResponse = recommend(recommendReq, limit);
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// filter black Item
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if (Objects.isNull(recommendResponse)) {
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return recommendResponse;
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}
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ChatConfigRichResp chatConfigRich = configService.getConfigRichInfo(Long.valueOf(queryCtx.getModelId()));
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ChatConfigRichResp chatConfigRich = configService.getConfigRichInfo(recommendReq.getModelId());
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if (Objects.nonNull(chatConfigRich) && Objects.nonNull(chatConfigRich.getChatAggRichConfig())
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&& Objects.nonNull(chatConfigRich.getChatAggRichConfig().getVisibility())) {
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List<Long> blackMetricIdList = chatConfigRich.getChatAggRichConfig().getVisibility().getBlackMetricIdList();
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@@ -17,7 +17,7 @@ import org.springframework.util.CollectionUtils;
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public abstract class BaseSemanticInterpreter implements SemanticInterpreter {
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protected final Cache<String, List<ModelSchemaResp>> modelSchemaCache =
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CacheBuilder.newBuilder().expireAfterWrite(60, TimeUnit.SECONDS).build();
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CacheBuilder.newBuilder().expireAfterWrite(10, TimeUnit.SECONDS).build();
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@SneakyThrows
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public List<ModelSchemaResp> fetchModelSchema(List<Long> ids, Boolean cacheEnable) {
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@@ -33,13 +33,13 @@ public abstract class BaseSemanticInterpreter implements SemanticInterpreter {
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}
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@Override
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public ModelSchema getModelSchema(Long domain, Boolean cacheEnable) {
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public ModelSchema getModelSchema(Long model, Boolean cacheEnable) {
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List<Long> ids = new ArrayList<>();
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ids.add(domain);
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ids.add(model);
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List<ModelSchemaResp> modelSchemaResps = fetchModelSchema(ids, cacheEnable);
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if (!CollectionUtils.isEmpty(modelSchemaResps)) {
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Optional<ModelSchemaResp> modelSchemaResp = modelSchemaResps.stream()
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.filter(d -> d.getId().equals(domain)).findFirst();
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.filter(d -> d.getId().equals(model)).findFirst();
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if (modelSchemaResp.isPresent()) {
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ModelSchemaResp modelSchema = modelSchemaResp.get();
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return ModelSchemaBuilder.build(modelSchema);
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@@ -1,11 +1,14 @@
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package com.tencent.supersonic.knowledge.semantic;
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import com.google.common.collect.Lists;
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import com.tencent.supersonic.chat.api.pojo.ModelSchema;
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import com.tencent.supersonic.chat.api.pojo.RelateSchemaElement;
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import com.tencent.supersonic.chat.api.pojo.SchemaElement;
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import com.tencent.supersonic.chat.api.pojo.SchemaElementType;
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import com.tencent.supersonic.chat.api.pojo.SchemaValueMap;
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import com.tencent.supersonic.semantic.api.model.pojo.DimValueMap;
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import com.tencent.supersonic.semantic.api.model.pojo.Entity;
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import com.tencent.supersonic.semantic.api.model.pojo.RelateDimension;
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import com.tencent.supersonic.semantic.api.model.response.DimSchemaResp;
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import com.tencent.supersonic.semantic.api.model.response.MetricSchemaResp;
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import com.tencent.supersonic.semantic.api.model.response.ModelSchemaResp;
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@@ -29,7 +32,7 @@ public class ModelSchemaBuilder {
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public static ModelSchema build(ModelSchemaResp resp) {
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ModelSchema domainSchema = new ModelSchema();
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ModelSchema modelSchema = new ModelSchema();
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SchemaElement domain = SchemaElement.builder()
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.model(resp.getId())
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.id(resp.getId())
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@@ -38,7 +41,7 @@ public class ModelSchemaBuilder {
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.type(SchemaElementType.MODEL)
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.alias(getAliasList(resp.getAlias()))
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.build();
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domainSchema.setModel(domain);
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modelSchema.setModel(domain);
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Set<SchemaElement> metrics = new HashSet<>();
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for (MetricSchemaResp metric : resp.getMetrics()) {
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@@ -53,12 +56,13 @@ public class ModelSchemaBuilder {
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.type(SchemaElementType.METRIC)
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.useCnt(metric.getUseCnt())
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.alias(alias)
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.relateSchemaElements(getRelateSchemaElement(metric))
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.defaultAgg(metric.getDefaultAgg())
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.build();
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metrics.add(metricToAdd);
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}
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domainSchema.getMetrics().addAll(metrics);
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modelSchema.getMetrics().addAll(metrics);
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Set<SchemaElement> dimensions = new HashSet<>();
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Set<SchemaElement> dimensionValues = new HashSet<>();
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@@ -106,8 +110,8 @@ public class ModelSchemaBuilder {
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.build();
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dimensionValues.add(dimValueToAdd);
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}
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domainSchema.getDimensions().addAll(dimensions);
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domainSchema.getDimensionValues().addAll(dimensionValues);
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modelSchema.getDimensions().addAll(dimensions);
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modelSchema.getDimensionValues().addAll(dimensionValues);
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Entity entity = resp.getEntity();
|
||||
if (Objects.nonNull(entity)) {
|
||||
@@ -122,11 +126,11 @@ public class ModelSchemaBuilder {
|
||||
entityElement.setType(SchemaElementType.ENTITY);
|
||||
}
|
||||
entityElement.setAlias(entity.getNames());
|
||||
domainSchema.setEntity(entityElement);
|
||||
modelSchema.setEntity(entityElement);
|
||||
}
|
||||
}
|
||||
|
||||
return domainSchema;
|
||||
return modelSchema;
|
||||
}
|
||||
|
||||
private static List<String> getAliasList(String alias) {
|
||||
@@ -136,4 +140,16 @@ public class ModelSchemaBuilder {
|
||||
return Arrays.asList(alias.split(aliasSplit));
|
||||
}
|
||||
|
||||
private static List<RelateSchemaElement> getRelateSchemaElement(MetricSchemaResp metricSchemaResp) {
|
||||
RelateDimension relateDimension = metricSchemaResp.getRelateDimension();
|
||||
if (relateDimension == null || CollectionUtils.isEmpty(relateDimension.getDrillDownDimensions())) {
|
||||
return Lists.newArrayList();
|
||||
}
|
||||
return relateDimension.getDrillDownDimensions().stream().map(dimension -> {
|
||||
RelateSchemaElement relateSchemaElement = new RelateSchemaElement();
|
||||
BeanUtils.copyProperties(dimension, relateSchemaElement);
|
||||
return relateSchemaElement;
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user