(improvement)(Chat) llmSqlParser is adapted for tag mode, and rule parsing filters based on the dataset query type. (#804)

chat/core/src/main/java/com/tencent/supersonic/chat/core/config/LLMParserConfig.java

@@ -22,6 +22,9 @@ public class LLMParserConfig {
     @Value("${metric.topn:10}")
     private Integer metricTopN;
 
+    @Value("${tag.topn:20}")
+    private Integer tagTopN;
+
     @Value("${all.model:false}")
     private Boolean allModel;
 }

chat/core/src/main/java/com/tencent/supersonic/chat/core/parser/QueryTypeParser.java

@@ -1,9 +1,7 @@
 package com.tencent.supersonic.chat.core.parser;
 
 import com.tencent.supersonic.auth.api.authentication.pojo.User;
-import com.tencent.supersonic.chat.api.pojo.DataSetSchema;
 import com.tencent.supersonic.chat.api.pojo.SemanticParseInfo;
-import com.tencent.supersonic.chat.api.pojo.SemanticSchema;
 import com.tencent.supersonic.chat.core.pojo.ChatContext;
 import com.tencent.supersonic.chat.core.pojo.QueryContext;
 import com.tencent.supersonic.chat.core.query.SemanticQuery;
@@ -27,10 +25,7 @@ public class QueryTypeParser implements SemanticParser {
             semanticQuery.initS2Sql(queryContext.getSemanticSchema(), user);
             // 2.set queryType
             SemanticParseInfo parseInfo = semanticQuery.getParseInfo();
-            SemanticSchema semanticSchema = queryContext.getSemanticSchema();
-            Long dataSetId = parseInfo.getDataSetId();
-            DataSetSchema dataSetSchema = semanticSchema.getDataSetSchemaMap().get(dataSetId);
-            parseInfo.setQueryType(dataSetSchema.getQueryType());
+            parseInfo.setQueryType(queryContext.getQueryType(parseInfo.getDataSetId()));
         }
     }
 

chat/core/src/main/java/com/tencent/supersonic/chat/core/parser/sql/llm/LLMRequestService.java

@@ -2,6 +2,7 @@ package com.tencent.supersonic.chat.core.parser.sql.llm;
 
 import com.google.common.collect.Lists;
 import com.tencent.supersonic.chat.core.utils.S2SqlDateHelper;
+import com.tencent.supersonic.common.pojo.enums.QueryType;
 import com.tencent.supersonic.headless.api.pojo.SchemaElement;
 import com.tencent.supersonic.chat.api.pojo.SchemaElementMatch;
 import com.tencent.supersonic.headless.api.pojo.SchemaElementType;
@@ -92,9 +93,8 @@ public class LLMRequestService {
         return llmParserTool.orElse(null);
     }
 
-    public LLMReq getLlmReq(QueryContext queryCtx, Long dataSetId,
-                            SemanticSchema semanticSchema, List<ElementValue> linkingValues) {
-        Map<Long, String> dataSetIdToName = semanticSchema.getDataSetIdToName();
+    public LLMReq getLlmReq(QueryContext queryCtx, Long dataSetId, List<ElementValue> linkingValues) {
+        Map<Long, String> dataSetIdToName = queryCtx.getSemanticSchema().getDataSetIdToName();
         String queryText = queryCtx.getQueryText();
 
         LLMReq llmReq = new LLMReq();
@@ -190,7 +190,8 @@ public class LLMRequestService {
                 .filter(elementMatch -> !elementMatch.isInherited())
                 .filter(schemaElementMatch -> {
                     SchemaElementType type = schemaElementMatch.getElement().getType();
-                    return SchemaElementType.VALUE.equals(type) || SchemaElementType.ID.equals(type);
+                    return SchemaElementType.VALUE.equals(type) || SchemaElementType.TAG_VALUE.equals(type)
+                            || SchemaElementType.ID.equals(type);
                 })
                 .map(elementMatch -> {
                     ElementValue elementValue = new ElementValue();
@@ -203,25 +204,38 @@ public class LLMRequestService {
 
     protected Map<Long, String> getItemIdToName(QueryContext queryCtx, Long dataSetId) {
         SemanticSchema semanticSchema = queryCtx.getSemanticSchema();
-        return semanticSchema.getDimensions(dataSetId).stream()
+        List<SchemaElement> elements = semanticSchema.getDimensions(dataSetId);
+        if (QueryType.TAG.equals(queryCtx.getQueryType(dataSetId))) {
+            elements = semanticSchema.getTags(dataSetId);
+        }
+        return elements.stream()
                 .collect(Collectors.toMap(SchemaElement::getId, SchemaElement::getName, (value1, value2) -> value2));
     }
 
     private Set<String> getTopNFieldNames(QueryContext queryCtx, Long dataSetId, LLMParserConfig llmParserConfig) {
         SemanticSchema semanticSchema = queryCtx.getSemanticSchema();
-        Set<String> results = semanticSchema.getDimensions(dataSetId).stream()
-                .sorted(Comparator.comparing(SchemaElement::getUseCnt).reversed())
-                .limit(llmParserConfig.getDimensionTopN())
-                .map(entry -> entry.getName())
-                .collect(Collectors.toSet());
-
-        Set<String> metrics = semanticSchema.getMetrics(dataSetId).stream()
-                .sorted(Comparator.comparing(SchemaElement::getUseCnt).reversed())
-                .limit(llmParserConfig.getMetricTopN())
-                .map(entry -> entry.getName())
-                .collect(Collectors.toSet());
-
-        results.addAll(metrics);
+        Set<String> results = new HashSet<>();
+        if (QueryType.TAG.equals(queryCtx.getQueryType(dataSetId))) {
+            Set<String> tags = semanticSchema.getTags(dataSetId).stream()
+                    .sorted(Comparator.comparing(SchemaElement::getUseCnt).reversed())
+                    .limit(llmParserConfig.getDimensionTopN())
+                    .map(entry -> entry.getName())
+                    .collect(Collectors.toSet());
+            results.addAll(tags);
+        } else {
+            Set<String> dimensions = semanticSchema.getDimensions(dataSetId).stream()
+                    .sorted(Comparator.comparing(SchemaElement::getUseCnt).reversed())
+                    .limit(llmParserConfig.getDimensionTopN())
+                    .map(entry -> entry.getName())
+                    .collect(Collectors.toSet());
+            results.addAll(dimensions);
+            Set<String> metrics = semanticSchema.getMetrics(dataSetId).stream()
+                    .sorted(Comparator.comparing(SchemaElement::getUseCnt).reversed())
+                    .limit(llmParserConfig.getMetricTopN())
+                    .map(entry -> entry.getName())
+                    .collect(Collectors.toSet());
+            results.addAll(metrics);
+        }
         return results;
     }
 
@@ -236,12 +250,15 @@ public class LLMRequestService {
                     SchemaElementType elementType = schemaElementMatch.getElement().getType();
                     return SchemaElementType.METRIC.equals(elementType)
                             || SchemaElementType.DIMENSION.equals(elementType)
-                            || SchemaElementType.VALUE.equals(elementType);
+                            || SchemaElementType.VALUE.equals(elementType)
+                            || SchemaElementType.TAG.equals(elementType)
+                            || SchemaElementType.TAG_VALUE.equals(elementType);
                 })
                 .map(schemaElementMatch -> {
                     SchemaElement element = schemaElementMatch.getElement();
                     SchemaElementType elementType = element.getType();
-                    if (SchemaElementType.VALUE.equals(elementType)) {
+                    if (SchemaElementType.VALUE.equals(elementType) || SchemaElementType.TAG_VALUE.equals(
+                            elementType)) {
                         return itemIdToName.get(element.getId());
                     }
                     return schemaElementMatch.getWord();

chat/core/src/main/java/com/tencent/supersonic/chat/core/parser/sql/llm/LLMSqlParser.java

@@ -1,6 +1,5 @@
 package com.tencent.supersonic.chat.core.parser.sql.llm;
 
-import com.tencent.supersonic.chat.api.pojo.SemanticSchema;
 import com.tencent.supersonic.chat.core.agent.NL2SQLTool;
 import com.tencent.supersonic.chat.core.parser.SemanticParser;
 import com.tencent.supersonic.chat.core.pojo.ChatContext;
@@ -10,12 +9,11 @@ import com.tencent.supersonic.chat.core.query.llm.s2sql.LLMReq.ElementValue;
 import com.tencent.supersonic.chat.core.query.llm.s2sql.LLMResp;
 import com.tencent.supersonic.chat.core.query.llm.s2sql.LLMSqlResp;
 import com.tencent.supersonic.common.util.ContextUtils;
-import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.collections4.MapUtils;
-
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.collections4.MapUtils;
 
 @Slf4j
 public class LLMSqlParser implements SemanticParser {
@@ -41,8 +39,7 @@ public class LLMSqlParser implements SemanticParser {
             }
             //4.construct a request, call the API for the large model, and retrieve the results.
             List<ElementValue> linkingValues = requestService.getValueList(queryCtx, dataSetId);
-            SemanticSchema semanticSchema = queryCtx.getSemanticSchema();
-            LLMReq llmReq = requestService.getLlmReq(queryCtx, dataSetId, semanticSchema, linkingValues);
+            LLMReq llmReq = requestService.getLlmReq(queryCtx, dataSetId, linkingValues);
             LLMResp llmResp = requestService.requestLLM(llmReq, dataSetId);
 
             if (Objects.isNull(llmResp)) {

chat/core/src/main/java/com/tencent/supersonic/chat/core/parser/sql/rule/AgentCheckParser.java

@@ -8,14 +8,11 @@ import com.tencent.supersonic.chat.core.agent.RuleParserTool;
 import com.tencent.supersonic.chat.core.parser.SemanticParser;
 import com.tencent.supersonic.chat.core.pojo.ChatContext;
 import com.tencent.supersonic.chat.core.pojo.QueryContext;
-import com.tencent.supersonic.chat.core.query.QueryManager;
 import com.tencent.supersonic.chat.core.query.SemanticQuery;
-import com.tencent.supersonic.common.pojo.enums.QueryType;
-import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.collections.CollectionUtils;
-
 import java.util.List;
 import java.util.stream.Collectors;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.collections.CollectionUtils;
 
 @Slf4j
 public class AgentCheckParser implements SemanticParser {
@@ -46,18 +43,6 @@ public class AgentCheckParser implements SemanticParser {
                         && !tool.getQueryModes().contains(query.getQueryMode())) {
                     return true;
                 }
-                if (CollectionUtils.isNotEmpty(tool.getQueryTypes())) {
-                    if (QueryManager.isTagQuery(query.getQueryMode())) {
-                        if (!tool.getQueryTypes().contains(QueryType.TAG.name())) {
-                            return true;
-                        }
-                    }
-                    if (QueryManager.isMetricQuery(query.getQueryMode())) {
-                        if (!tool.getQueryTypes().contains(QueryType.METRIC.name())) {
-                            return true;
-                        }
-                    }
-                }
                 if (CollectionUtils.isEmpty(tool.getDataSetIds())) {
                     return true;
                 }

chat/core/src/main/java/com/tencent/supersonic/chat/core/parser/sql/rule/RuleSqlParser.java

@@ -1,15 +1,14 @@
 package com.tencent.supersonic.chat.core.parser.sql.rule;
 
+import com.tencent.supersonic.chat.api.pojo.SchemaElementMatch;
 import com.tencent.supersonic.chat.api.pojo.SchemaMapInfo;
 import com.tencent.supersonic.chat.core.parser.SemanticParser;
 import com.tencent.supersonic.chat.core.pojo.ChatContext;
 import com.tencent.supersonic.chat.core.pojo.QueryContext;
-import com.tencent.supersonic.chat.api.pojo.SchemaElementMatch;
 import com.tencent.supersonic.chat.core.query.rule.RuleSemanticQuery;
-import lombok.extern.slf4j.Slf4j;
-
 import java.util.Arrays;
 import java.util.List;
+import lombok.extern.slf4j.Slf4j;
 
 /**
  * RuleSqlParser resolves a specific SemanticQuery according to co-appearance

chat/core/src/main/java/com/tencent/supersonic/chat/core/pojo/QueryContext.java

@@ -2,6 +2,7 @@ package com.tencent.supersonic.chat.core.pojo;
 
 import com.fasterxml.jackson.annotation.JsonIgnore;
 import com.tencent.supersonic.auth.api.authentication.pojo.User;
+import com.tencent.supersonic.chat.api.pojo.DataSetSchema;
 import com.tencent.supersonic.chat.api.pojo.SchemaMapInfo;
 import com.tencent.supersonic.chat.api.pojo.SemanticSchema;
 import com.tencent.supersonic.chat.api.pojo.request.QueryFilters;
@@ -10,17 +11,17 @@ import com.tencent.supersonic.chat.core.agent.Agent;
 import com.tencent.supersonic.chat.core.config.OptimizationConfig;
 import com.tencent.supersonic.chat.core.plugin.Plugin;
 import com.tencent.supersonic.chat.core.query.SemanticQuery;
+import com.tencent.supersonic.common.pojo.enums.QueryType;
 import com.tencent.supersonic.common.util.ContextUtils;
-import lombok.AllArgsConstructor;
-import lombok.Builder;
-import lombok.Data;
-import lombok.NoArgsConstructor;
-
 import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.List;
 import java.util.Map;
 import java.util.stream.Collectors;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
 
 @Data
 @Builder
@@ -58,4 +59,10 @@ public class QueryContext {
                 .collect(Collectors.toList());
         return candidateQueries;
     }
+
+    public QueryType getQueryType(Long dataSetId) {
+        SemanticSchema semanticSchema = this.semanticSchema;
+        DataSetSchema dataSetSchema = semanticSchema.getDataSetSchemaMap().get(dataSetId);
+        return dataSetSchema.getQueryType();
+    }
 }

common/pom.xml

@@ -180,7 +180,10 @@
             <groupId>dev.langchain4j</groupId>
             <artifactId>langchain4j-chroma</artifactId>
         </dependency>
-
+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-azure-open-ai</artifactId>
+        </dependency>
         <dependency>
             <groupId>org.apache.logging.log4j</groupId>
             <artifactId>log4j-api</artifactId>
@@ -195,7 +198,6 @@
             <artifactId>hanlp</artifactId>
             <version>${hanlp.version}</version>
         </dependency>
-
     </dependencies>
 
 </project>

launchers/standalone/src/main/java/com/tencent/supersonic/ChatDemoLoader.java

@@ -20,9 +20,10 @@ import com.tencent.supersonic.chat.server.service.ChatService;
 import com.tencent.supersonic.chat.server.service.PluginService;
 import com.tencent.supersonic.chat.server.service.QueryService;
 import com.tencent.supersonic.common.pojo.SysParameter;
-import com.tencent.supersonic.common.pojo.enums.QueryType;
 import com.tencent.supersonic.common.service.SysParameterService;
 import com.tencent.supersonic.common.util.JsonUtil;
+import java.util.Arrays;
+import java.util.List;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Qualifier;
@@ -32,9 +33,6 @@ import org.springframework.core.annotation.Order;
 import org.springframework.stereotype.Component;
 import org.springframework.util.CollectionUtils;
 
-import java.util.Arrays;
-import java.util.List;
-
 @Component
 @Slf4j
 @Order(3)
@@ -170,7 +168,6 @@ public class ChatDemoLoader implements CommandLineRunner {
         ruleQueryTool.setType(AgentToolType.NL2SQL_RULE);
         ruleQueryTool.setId("0");
         ruleQueryTool.setDataSetIds(Lists.newArrayList(1L));
-        ruleQueryTool.setQueryTypes(Lists.newArrayList(QueryType.METRIC.name()));
         agentConfig.getTools().add(ruleQueryTool);
         if (demoEnabledNl2SqlLlm) {
             LLMParserTool llmParserTool = new LLMParserTool();
@@ -196,7 +193,6 @@ public class ChatDemoLoader implements CommandLineRunner {
         ruleQueryTool.setId("0");
         ruleQueryTool.setType(AgentToolType.NL2SQL_RULE);
         ruleQueryTool.setDataSetIds(Lists.newArrayList(2L));
-        ruleQueryTool.setQueryTypes(Lists.newArrayList(QueryType.TAG.name()));
         agentConfig.getTools().add(ruleQueryTool);
 
         if (demoEnabledNl2SqlLlm) {

launchers/standalone/src/test/java/com/tencent/supersonic/chat/TagTest.java

@@ -58,7 +58,7 @@ public class TagTest extends BaseTest {
         List<String> list = new ArrayList<>();
         list.add("流行");
         QueryFilter dimensionFilter = DataUtils.getFilter("genre", FilterOperatorEnum.EQUALS,
-                "流行", "风格", 6L);
+                "流行", "风格", 2L);
         expectedParseInfo.getDimensionFilters().add(dimensionFilter);
 
         SchemaElement metric = SchemaElement.builder().name("播放量").build();

pom.xml

@@ -149,6 +149,11 @@
                 <artifactId>langchain4j-embeddings-bge-small-zh</artifactId>
                 <version>${langchain4j.version}</version>
             </dependency>
+            <dependency>
+                <groupId>dev.langchain4j</groupId>
+                <artifactId>langchain4j-azure-open-ai</artifactId>
+                <version>${langchain4j.version}</version>
+            </dependency>
         </dependencies>
     </dependencyManagement>