mirror of
https://github.com/tencentmusic/supersonic.git
synced 2025-12-11 03:58:14 +00:00
[improvement](python) LLM related services support Java service invocation (#484)
This commit is contained in:
@@ -104,6 +104,19 @@
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<version>${mockito-inline.version}</version>
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<scope>test</scope>
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</dependency>
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<!--langchain4j-->
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-open-ai</artifactId>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j</artifactId>
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</dependency>
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<dependency>
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<groupId>dev.langchain4j</groupId>
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<artifactId>langchain4j-chroma</artifactId>
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</dependency>
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</dependencies>
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@@ -4,10 +4,11 @@ import com.google.common.collect.Lists;
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import com.tencent.supersonic.chat.api.pojo.QueryContext;
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import com.tencent.supersonic.chat.config.OptimizationConfig;
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import com.tencent.supersonic.common.pojo.Constants;
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import com.tencent.supersonic.common.util.embedding.EmbeddingUtils;
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import com.tencent.supersonic.common.util.ComponentFactory;
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import com.tencent.supersonic.common.util.embedding.Retrieval;
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import com.tencent.supersonic.common.util.embedding.RetrieveQuery;
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import com.tencent.supersonic.common.util.embedding.RetrieveQueryResult;
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import com.tencent.supersonic.common.util.embedding.S2EmbeddingStore;
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import com.tencent.supersonic.knowledge.dictionary.EmbeddingResult;
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import com.tencent.supersonic.semantic.model.domain.listener.MetaEmbeddingListener;
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import java.util.Comparator;
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@@ -32,8 +33,8 @@ public class EmbeddingMatchStrategy extends BaseMatchStrategy<EmbeddingResult> {
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@Autowired
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private OptimizationConfig optimizationConfig;
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@Autowired
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private EmbeddingUtils embeddingUtils;
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private S2EmbeddingStore s2EmbeddingStore = ComponentFactory.getS2EmbeddingStore();
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@Override
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public boolean needDelete(EmbeddingResult oneRoundResult, EmbeddingResult existResult) {
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@@ -83,7 +84,7 @@ public class EmbeddingMatchStrategy extends BaseMatchStrategy<EmbeddingResult> {
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.queryEmbeddings(null)
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.build();
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// step2. retrieveQuery by detectSegment
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List<RetrieveQueryResult> retrieveQueryResults = embeddingUtils.retrieveQuery(
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List<RetrieveQueryResult> retrieveQueryResults = s2EmbeddingStore.retrieveQuery(
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MetaEmbeddingListener.COLLECTION_NAME, retrieveQuery, embeddingNumber);
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if (CollectionUtils.isEmpty(retrieveQueryResults)) {
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@@ -97,7 +98,7 @@ public class EmbeddingMatchStrategy extends BaseMatchStrategy<EmbeddingResult> {
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retrievals.removeIf(retrieval -> retrieval.getDistance() > distance.doubleValue());
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if (CollectionUtils.isNotEmpty(detectModelIds)) {
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retrievals.removeIf(retrieval -> {
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String modelIdStr = retrieval.getMetadata().get("modelId");
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String modelIdStr = retrieval.getMetadata().get("modelId").toString();
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if (StringUtils.isBlank(modelIdStr)) {
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return true;
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}
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@@ -0,0 +1,84 @@
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package com.tencent.supersonic.chat.parser;
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import com.tencent.supersonic.chat.config.OptimizationConfig;
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import com.tencent.supersonic.chat.parser.plugin.function.FunctionCallPromptGenerator;
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import com.tencent.supersonic.chat.parser.sql.llm.prompt.OutputFormat;
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import com.tencent.supersonic.chat.parser.sql.llm.prompt.SqlExampleLoader;
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import com.tencent.supersonic.chat.parser.sql.llm.prompt.SqlPromptGenerator;
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import com.tencent.supersonic.chat.parser.plugin.function.FunctionReq;
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import com.tencent.supersonic.chat.parser.plugin.function.FunctionResp;
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import com.tencent.supersonic.chat.query.llm.s2sql.LLMReq;
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import com.tencent.supersonic.chat.query.llm.s2sql.LLMReq.ElementValue;
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import com.tencent.supersonic.chat.query.llm.s2sql.LLMResp;
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import com.tencent.supersonic.common.util.ContextUtils;
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import com.tencent.supersonic.common.util.JsonUtil;
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import dev.langchain4j.data.message.AiMessage;
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import dev.langchain4j.model.chat.ChatLanguageModel;
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import dev.langchain4j.model.input.Prompt;
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import dev.langchain4j.model.input.PromptTemplate;
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import dev.langchain4j.model.output.Response;
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import lombok.extern.slf4j.Slf4j;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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@Slf4j
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public class EmbedLLMProxy implements LLMProxy {
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public LLMResp query2sql(LLMReq llmReq, String modelClusterKey) {
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ChatLanguageModel chatLanguageModel = ContextUtils.getBean(ChatLanguageModel.class);
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SqlExampleLoader sqlExampleLoader = ContextUtils.getBean(SqlExampleLoader.class);
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OptimizationConfig config = ContextUtils.getBean(OptimizationConfig.class);
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List<Map<String, String>> sqlExamples = sqlExampleLoader.retrieverSqlExamples(llmReq.getQueryText(),
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config.getText2sqlCollectionName(), config.getText2sqlFewShotsNum());
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String queryText = llmReq.getQueryText();
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String modelName = llmReq.getSchema().getModelName();
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List<String> fieldNameList = llmReq.getSchema().getFieldNameList();
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List<ElementValue> linking = llmReq.getLinking();
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SqlPromptGenerator sqlPromptGenerator = ContextUtils.getBean(SqlPromptGenerator.class);
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String linkingPromptStr = sqlPromptGenerator.generateSchemaLinkingPrompt(queryText, modelName, fieldNameList,
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linking, sqlExamples);
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Prompt linkingPrompt = PromptTemplate.from(JsonUtil.toString(linkingPromptStr)).apply(new HashMap<>());
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Response<AiMessage> linkingResult = chatLanguageModel.generate(linkingPrompt.toSystemMessage());
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String schemaLinkStr = OutputFormat.schemaLinkParse(linkingResult.content().text());
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String generateSqlPrompt = sqlPromptGenerator.generateSqlPrompt(queryText, modelName, schemaLinkStr,
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llmReq.getCurrentDate(), sqlExamples);
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Prompt sqlPrompt = PromptTemplate.from(JsonUtil.toString(generateSqlPrompt)).apply(new HashMap<>());
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Response<AiMessage> sqlResult = chatLanguageModel.generate(sqlPrompt.toSystemMessage());
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LLMResp result = new LLMResp();
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result.setQuery(queryText);
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result.setSchemaLinkingOutput(linkingPromptStr);
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result.setSchemaLinkStr(schemaLinkStr);
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result.setModelName(modelName);
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result.setSqlOutput(sqlResult.content().text());
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return result;
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}
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@Override
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public FunctionResp requestFunction(FunctionReq functionReq) {
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FunctionCallPromptGenerator promptGenerator = ContextUtils.getBean(FunctionCallPromptGenerator.class);
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String functionCallPrompt = promptGenerator.generateFunctionCallPrompt(functionReq.getQueryText(),
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functionReq.getPluginConfigs());
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ChatLanguageModel chatLanguageModel = ContextUtils.getBean(ChatLanguageModel.class);
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String functionSelect = chatLanguageModel.generate(functionCallPrompt);
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return OutputFormat.functionCallParse(functionSelect);
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}
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}
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@@ -0,0 +1,44 @@
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package com.tencent.supersonic.chat.parser.plugin.function;
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import com.tencent.supersonic.chat.parser.sql.llm.prompt.InputFormat;
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import com.tencent.supersonic.chat.plugin.PluginParseConfig;
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import java.util.List;
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import java.util.stream.Collectors;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.stereotype.Component;
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@Component
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@Slf4j
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public class FunctionCallPromptGenerator {
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public String generateFunctionCallPrompt(String queryText, List<PluginParseConfig> toolConfigList) {
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List<String> toolExplainList = toolConfigList.stream()
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.map(this::constructPluginPrompt)
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.collect(Collectors.toList());
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String functionList = String.join(InputFormat.SEPERATOR, toolExplainList);
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return constructTaskPrompt(queryText, functionList);
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}
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public String constructPluginPrompt(PluginParseConfig parseConfig) {
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String toolName = parseConfig.getName();
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String toolDescription = parseConfig.getDescription();
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List<String> toolExamples = parseConfig.getExamples();
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StringBuilder prompt = new StringBuilder();
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prompt.append("【工具名称】\n").append(toolName).append("\n");
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prompt.append("【工具描述】\n").append(toolDescription).append("\n");
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prompt.append("【工具适用问题示例】\n");
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for (String example : toolExamples) {
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prompt.append(example).append("\n");
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}
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return prompt.toString();
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}
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public String constructTaskPrompt(String queryText, String functionList) {
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String instruction = String.format("问题为:%s\n请根据问题和工具的描述,选择对应的工具,完成任务。"
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+ "请注意,只能选择1个工具。请一步一步地分析选择工具的原因(每个工具的【工具适用问题示例】是选择的重要参考依据),"
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+ "并给出最终选择,输出格式为json,key为’分析过程‘, ’选择工具‘", queryText);
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return String.format("工具选择如下:\n\n%s\n\n【任务说明】\n%s", functionList, instruction);
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}
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}
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@@ -0,0 +1,42 @@
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package com.tencent.supersonic.chat.parser.sql.llm.prompt;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import lombok.extern.slf4j.Slf4j;
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@Slf4j
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public class InputFormat {
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public static final String SEPERATOR = "\n\n";
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public static String format(String template, List<String> templateKey,
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List<Map<String, String>> toFormatList) {
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List<String> result = new ArrayList<>();
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for (Map<String, String> formatItem : toFormatList) {
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Map<String, String> retrievalMeta = subDict(formatItem, templateKey);
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result.add(format(template, retrievalMeta));
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}
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return String.join(SEPERATOR, result);
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}
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public static String format(String input, Map<String, String> replacements) {
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for (Map.Entry<String, String> entry : replacements.entrySet()) {
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input = input.replace(entry.getKey(), entry.getValue());
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}
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return input;
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}
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private static Map<String, String> subDict(Map<String, String> dict, List<String> keys) {
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Map<String, String> subDict = new HashMap<>();
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for (String key : keys) {
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if (dict.containsKey(key)) {
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subDict.put(key, dict.get(key));
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}
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}
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return subDict;
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}
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}
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@@ -0,0 +1,53 @@
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package com.tencent.supersonic.chat.parser.sql.llm.prompt;
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import com.tencent.supersonic.chat.parser.plugin.function.FunctionResp;
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import com.tencent.supersonic.common.util.JsonUtil;
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import java.util.Map;
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import java.util.regex.Matcher;
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import java.util.regex.Pattern;
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import lombok.extern.slf4j.Slf4j;
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/***
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* output format
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*/
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@Slf4j
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public class OutputFormat {
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public static final String PATTERN = "\\{[^{}]+\\}";
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public static String schemaLinkParse(String schemaLinkOutput) {
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try {
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schemaLinkOutput = schemaLinkOutput.trim();
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String pattern = "Schema_links:(.*)";
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Pattern regexPattern = Pattern.compile(pattern, Pattern.DOTALL);
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Matcher matcher = regexPattern.matcher(schemaLinkOutput);
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if (matcher.find()) {
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schemaLinkOutput = matcher.group(1).trim();
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} else {
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schemaLinkOutput = null;
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}
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} catch (Exception e) {
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log.error("", e);
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schemaLinkOutput = null;
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}
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return schemaLinkOutput;
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}
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public static FunctionResp functionCallParse(String llmOutput) {
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try {
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String[] findResult = llmOutput.split(PATTERN);
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String result = findResult[0].trim();
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Map<String, String> resultDict = JsonUtil.toMap(result, String.class, String.class);
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log.info("result:{},resultDict:{}", result, resultDict);
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String selection = resultDict.get("选择工具");
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FunctionResp resp = new FunctionResp();
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resp.setToolSelection(selection);
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return resp;
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} catch (Exception e) {
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log.error("", e);
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return null;
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}
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}
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}
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@@ -0,0 +1,32 @@
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package com.tencent.supersonic.chat.parser.sql.llm.prompt;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import lombok.Data;
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@Data
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public class SqlExample {
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@JsonProperty("currentDate")
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private String currentDate;
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@JsonProperty("tableName")
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private String tableName;
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@JsonProperty("fieldsList")
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private String fieldsList;
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@JsonProperty("question")
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private String question;
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@JsonProperty("priorSchemaLinks")
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private String priorSchemaLinks;
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@JsonProperty("analysis")
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private String analysis;
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@JsonProperty("schemaLinks")
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private String schemaLinks;
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@JsonProperty("sql")
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private String sql;
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}
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@@ -0,0 +1,76 @@
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package com.tencent.supersonic.chat.parser.sql.llm.prompt;
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import com.fasterxml.jackson.core.type.TypeReference;
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import com.tencent.supersonic.common.util.ComponentFactory;
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import com.tencent.supersonic.common.util.JsonUtil;
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import com.tencent.supersonic.common.util.embedding.EmbeddingQuery;
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import com.tencent.supersonic.common.util.embedding.Retrieval;
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import com.tencent.supersonic.common.util.embedding.RetrieveQuery;
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import com.tencent.supersonic.common.util.embedding.RetrieveQueryResult;
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import com.tencent.supersonic.common.util.embedding.S2EmbeddingStore;
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import java.io.IOException;
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import java.io.InputStream;
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import java.util.ArrayList;
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import java.util.Collections;
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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.stream.Collectors;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.collections4.CollectionUtils;
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import org.springframework.core.io.ClassPathResource;
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import org.springframework.stereotype.Component;
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@Slf4j
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@Component
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public class SqlExampleLoader {
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private static final String EXAMPLE_JSON_FILE = "example.json";
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private S2EmbeddingStore s2EmbeddingStore = ComponentFactory.getS2EmbeddingStore();
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private TypeReference<List<SqlExample>> valueTypeRef = new TypeReference<List<SqlExample>>() {
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};
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public List<SqlExample> getSqlExamples() throws IOException {
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ClassPathResource resource = new ClassPathResource(EXAMPLE_JSON_FILE);
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InputStream inputStream = resource.getInputStream();
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return JsonUtil.INSTANCE.getObjectMapper().readValue(inputStream, valueTypeRef);
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}
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public void addEmbeddingStore(List<SqlExample> sqlExamples, String collectionName) {
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List<EmbeddingQuery> queries = new ArrayList<>();
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for (int i = 0; i < sqlExamples.size(); i++) {
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SqlExample sqlExample = sqlExamples.get(i);
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String question = sqlExample.getQuestion();
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Map<String, Object> metaDataMap = JsonUtil.toMap(JsonUtil.toString(sqlExample), String.class, Object.class);
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EmbeddingQuery embeddingQuery = new EmbeddingQuery();
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embeddingQuery.setQueryId(String.valueOf(i));
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embeddingQuery.setQuery(question);
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embeddingQuery.setMetadata(metaDataMap);
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queries.add(embeddingQuery);
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}
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s2EmbeddingStore.addQuery(collectionName, queries);
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}
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public List<Map<String, String>> retrieverSqlExamples(String queryText, String collectionName, int maxResults) {
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RetrieveQuery retrieveQuery = RetrieveQuery.builder().queryTextsList(Collections.singletonList(queryText))
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.queryEmbeddings(null).build();
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List<RetrieveQueryResult> resultList = s2EmbeddingStore.retrieveQuery(collectionName, retrieveQuery,
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maxResults);
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List<Map<String, String>> result = new ArrayList<>();
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if (CollectionUtils.isEmpty(resultList)) {
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return result;
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}
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for (Retrieval retrieval : resultList.get(0).getRetrieval()) {
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if (Objects.nonNull(retrieval.getMetadata()) && !retrieval.getMetadata().isEmpty()) {
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Map<String, String> convertedMap = retrieval.getMetadata().entrySet().stream()
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.collect(Collectors.toMap(Map.Entry::getKey, entry -> String.valueOf(entry.getValue())));
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result.add(convertedMap);
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}
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}
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return result;
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}
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}
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@@ -0,0 +1,65 @@
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package com.tencent.supersonic.chat.parser.sql.llm.prompt;
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import com.tencent.supersonic.chat.query.llm.s2sql.LLMReq.ElementValue;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Map;
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import java.util.stream.Collectors;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.stereotype.Component;
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@Component
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@Slf4j
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public class SqlPromptGenerator {
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public String generateSchemaLinkingPrompt(String question, String modelName, List<String> fieldsList,
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List<ElementValue> priorSchemaLinks, List<Map<String, String>> exampleList) {
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String exampleTemplate = "Table {tableName}, columns = {fieldsList}, prior_schema_links = {priorSchemaLinks}\n"
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+ "问题:{question}\n分析:{analysis} 所以Schema_links是:\nSchema_links:{schemaLinks}";
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List<String> exampleKeys = Arrays.asList("tableName", "fieldsList", "priorSchemaLinks", "question", "analysis",
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"schemaLinks");
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String schemaLinkingPrompt = InputFormat.format(exampleTemplate, exampleKeys, exampleList);
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String newCaseTemplate = "Table {tableName}, columns = {fieldsList}, prior_schema_links = {priorSchemaLinks}\n"
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+ "问题:{question}\n分析: 让我们一步一步地思考。";
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||||
String newCasePrompt = newCaseTemplate.replace("{tableName}", modelName)
|
||||
.replace("{fieldsList}", fieldsList.toString())
|
||||
.replace("{priorSchemaLinks}", getPriorSchemaLinks(priorSchemaLinks))
|
||||
.replace("{question}", question);
|
||||
|
||||
String instruction = "# 根据数据库的表结构,参考先验信息,找出为每个问题生成SQL查询语句的schema_links";
|
||||
return instruction + InputFormat.SEPERATOR + schemaLinkingPrompt + InputFormat.SEPERATOR + newCasePrompt;
|
||||
}
|
||||
|
||||
private String getPriorSchemaLinks(List<ElementValue> priorSchemaLinks) {
|
||||
return priorSchemaLinks.stream()
|
||||
.map(elementValue -> "'" + elementValue.getFieldName() + "'->" + elementValue.getFieldValue())
|
||||
.collect(Collectors.joining(",", "[", "]"));
|
||||
}
|
||||
|
||||
public String generateSqlPrompt(String question, String modelName, String schemaLinkStr, String dataDate,
|
||||
List<Map<String, String>> exampleList) {
|
||||
|
||||
List<String> exampleKeys = Arrays.asList("question", "currentDate", "tableName", "schemaLinks", "sql");
|
||||
String exampleTemplate = "问题:{question}\nCurrent_date:{currentDate}\nTable {tableName}\n"
|
||||
+ "Schema_links:{schemaLinks}\nSQL:{sql}";
|
||||
|
||||
String sqlExamplePrompt = InputFormat.format(exampleTemplate, exampleKeys, exampleList);
|
||||
|
||||
String newCaseTemplate = "问题:{question}\nCurrent_date:{currentDate}\nTable {tableName}\n"
|
||||
+ "Schema_links:{schemaLinks}\nSQL:";
|
||||
|
||||
String newCasePrompt = newCaseTemplate.replace("{question}", question)
|
||||
.replace("{currentDate}", dataDate)
|
||||
.replace("{tableName}", modelName)
|
||||
.replace("{schemaLinks}", schemaLinkStr);
|
||||
|
||||
String instruction = "# 根据schema_links为每个问题生成SQL查询语句";
|
||||
return instruction + InputFormat.SEPERATOR + sqlExamplePrompt + InputFormat.SEPERATOR + newCasePrompt;
|
||||
}
|
||||
|
||||
}
|
||||
@@ -19,12 +19,13 @@ import com.tencent.supersonic.chat.query.plugin.WebBase;
|
||||
import com.tencent.supersonic.chat.service.AgentService;
|
||||
import com.tencent.supersonic.chat.service.PluginService;
|
||||
import com.tencent.supersonic.common.config.EmbeddingConfig;
|
||||
import com.tencent.supersonic.common.util.ComponentFactory;
|
||||
import com.tencent.supersonic.common.util.ContextUtils;
|
||||
import com.tencent.supersonic.common.util.embedding.EmbeddingQuery;
|
||||
import com.tencent.supersonic.common.util.embedding.EmbeddingUtils;
|
||||
import com.tencent.supersonic.common.util.embedding.Retrieval;
|
||||
import com.tencent.supersonic.common.util.embedding.RetrieveQuery;
|
||||
import com.tencent.supersonic.common.util.embedding.RetrieveQueryResult;
|
||||
import com.tencent.supersonic.common.util.embedding.S2EmbeddingStore;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collection;
|
||||
import java.util.Collections;
|
||||
@@ -39,7 +40,6 @@ import org.apache.commons.collections.CollectionUtils;
|
||||
import org.apache.commons.lang3.tuple.Pair;
|
||||
import org.springframework.context.event.EventListener;
|
||||
import org.springframework.stereotype.Component;
|
||||
import org.springframework.web.client.RestTemplate;
|
||||
|
||||
@Slf4j
|
||||
@Component
|
||||
@@ -47,14 +47,10 @@ public class PluginManager {
|
||||
|
||||
private EmbeddingConfig embeddingConfig;
|
||||
|
||||
private RestTemplate restTemplate;
|
||||
private S2EmbeddingStore s2EmbeddingStore = ComponentFactory.getS2EmbeddingStore();
|
||||
|
||||
private EmbeddingUtils embeddingUtils;
|
||||
|
||||
public PluginManager(EmbeddingConfig embeddingConfig, RestTemplate restTemplate, EmbeddingUtils embeddingUtils) {
|
||||
public PluginManager(EmbeddingConfig embeddingConfig) {
|
||||
this.embeddingConfig = embeddingConfig;
|
||||
this.restTemplate = restTemplate;
|
||||
this.embeddingUtils = embeddingUtils;
|
||||
}
|
||||
|
||||
public static List<Plugin> getPluginAgentCanSupport(Integer agentId) {
|
||||
@@ -133,7 +129,7 @@ public class PluginManager {
|
||||
embeddingQuery.setQueryId(id);
|
||||
queries.add(embeddingQuery);
|
||||
}
|
||||
embeddingUtils.deleteQuery(presetCollection, queries);
|
||||
s2EmbeddingStore.deleteQuery(presetCollection, queries);
|
||||
}
|
||||
|
||||
public void requestEmbeddingPluginAdd(List<EmbeddingQuery> queries) {
|
||||
@@ -141,7 +137,7 @@ public class PluginManager {
|
||||
return;
|
||||
}
|
||||
String presetCollection = embeddingConfig.getPresetCollection();
|
||||
embeddingUtils.addQuery(presetCollection, queries);
|
||||
s2EmbeddingStore.addQuery(presetCollection, queries);
|
||||
}
|
||||
|
||||
public void requestEmbeddingPluginAddALL(List<Plugin> plugins) {
|
||||
@@ -150,13 +146,12 @@ public class PluginManager {
|
||||
|
||||
public RetrieveQueryResult recognize(String embeddingText) {
|
||||
|
||||
EmbeddingUtils embeddingUtils = ContextUtils.getBean(EmbeddingUtils.class);
|
||||
|
||||
RetrieveQuery retrieveQuery = RetrieveQuery.builder()
|
||||
.queryTextsList(Collections.singletonList(embeddingText))
|
||||
.build();
|
||||
|
||||
List<RetrieveQueryResult> resultList = embeddingUtils.retrieveQuery(embeddingConfig.getPresetCollection(),
|
||||
List<RetrieveQueryResult> resultList = s2EmbeddingStore.retrieveQuery(embeddingConfig.getPresetCollection(),
|
||||
retrieveQuery, embeddingConfig.getNResult());
|
||||
|
||||
|
||||
|
||||
@@ -7,13 +7,12 @@ import com.tencent.supersonic.chat.api.pojo.SemanticParseInfo;
|
||||
import com.tencent.supersonic.chat.api.pojo.request.ExecuteQueryReq;
|
||||
import com.tencent.supersonic.chat.api.pojo.response.QueryResult;
|
||||
import com.tencent.supersonic.common.pojo.QueryType;
|
||||
import com.tencent.supersonic.common.util.ContextUtils;
|
||||
import com.tencent.supersonic.common.util.embedding.EmbeddingUtils;
|
||||
import com.tencent.supersonic.common.util.ComponentFactory;
|
||||
import com.tencent.supersonic.common.util.embedding.Retrieval;
|
||||
import com.tencent.supersonic.common.util.embedding.RetrieveQuery;
|
||||
import com.tencent.supersonic.common.util.embedding.RetrieveQueryResult;
|
||||
import com.tencent.supersonic.common.util.embedding.S2EmbeddingStore;
|
||||
import com.tencent.supersonic.semantic.model.domain.listener.MetaEmbeddingListener;
|
||||
import org.springframework.util.CollectionUtils;
|
||||
import java.util.Collections;
|
||||
import java.util.Comparator;
|
||||
import java.util.HashMap;
|
||||
@@ -21,6 +20,7 @@ import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
import java.util.stream.Collectors;
|
||||
import org.springframework.util.CollectionUtils;
|
||||
|
||||
/**
|
||||
* SimilarMetricQueryResponder fills recommended metrics based on embedding similarity.
|
||||
@@ -29,6 +29,8 @@ public class SimilarMetricQueryResponder implements QueryResponder {
|
||||
|
||||
private static final int METRIC_RECOMMEND_SIZE = 5;
|
||||
|
||||
private S2EmbeddingStore s2EmbeddingStore = ComponentFactory.getS2EmbeddingStore();
|
||||
|
||||
@Override
|
||||
public void fillInfo(QueryResult queryResult, SemanticParseInfo semanticParseInfo, ExecuteQueryReq queryReq) {
|
||||
fillSimilarMetric(queryResult.getChatContext());
|
||||
@@ -46,8 +48,7 @@ public class SimilarMetricQueryResponder implements QueryResponder {
|
||||
filterCondition.put("type", SchemaElementType.METRIC.name());
|
||||
RetrieveQuery retrieveQuery = RetrieveQuery.builder().queryTextsList(metricNames)
|
||||
.filterCondition(filterCondition).queryEmbeddings(null).build();
|
||||
EmbeddingUtils embeddingUtils = ContextUtils.getBean(EmbeddingUtils.class);
|
||||
List<RetrieveQueryResult> retrieveQueryResults = embeddingUtils.retrieveQuery(
|
||||
List<RetrieveQueryResult> retrieveQueryResults = s2EmbeddingStore.retrieveQuery(
|
||||
MetaEmbeddingListener.COLLECTION_NAME, retrieveQuery, METRIC_RECOMMEND_SIZE + 1);
|
||||
if (CollectionUtils.isEmpty(retrieveQueryResults)) {
|
||||
return;
|
||||
@@ -66,7 +67,8 @@ public class SimilarMetricQueryResponder implements QueryResponder {
|
||||
SchemaElement schemaElement = JSONObject.parseObject(JSONObject.toJSONString(retrieval.getMetadata()),
|
||||
SchemaElement.class);
|
||||
if (retrieval.getMetadata().containsKey("modelId")) {
|
||||
schemaElement.setModel(Long.parseLong(retrieval.getMetadata().get("modelId")));
|
||||
String modelId = retrieval.getMetadata().get("modelId").toString();
|
||||
schemaElement.setModel(Long.parseLong(modelId));
|
||||
}
|
||||
schemaElement.setOrder(++metricOrder);
|
||||
parseInfo.getMetrics().add(schemaElement);
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
package com.tencent.supersonic.chat.query.llm.analytics;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import com.google.common.collect.Lists;
|
||||
import com.tencent.supersonic.auth.api.authentication.pojo.User;
|
||||
import com.tencent.supersonic.chat.api.component.SemanticInterpreter;
|
||||
@@ -14,13 +13,11 @@ import com.tencent.supersonic.chat.query.QueryManager;
|
||||
import com.tencent.supersonic.chat.query.llm.LLMSemanticQuery;
|
||||
import com.tencent.supersonic.chat.utils.ComponentFactory;
|
||||
import com.tencent.supersonic.chat.utils.QueryReqBuilder;
|
||||
import com.tencent.supersonic.common.config.EmbeddingConfig;
|
||||
import com.tencent.supersonic.common.pojo.Aggregator;
|
||||
import com.tencent.supersonic.common.pojo.QueryColumn;
|
||||
import com.tencent.supersonic.common.pojo.QueryType;
|
||||
import com.tencent.supersonic.common.pojo.enums.AggOperatorEnum;
|
||||
import com.tencent.supersonic.common.util.ContextUtils;
|
||||
import com.tencent.supersonic.common.util.embedding.EmbeddingUtils;
|
||||
import com.tencent.supersonic.semantic.api.model.response.QueryResultWithSchemaResp;
|
||||
import com.tencent.supersonic.semantic.api.query.request.QueryStructReq;
|
||||
import java.util.HashMap;
|
||||
@@ -31,8 +28,6 @@ import java.util.stream.Collectors;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.calcite.sql.parser.SqlParseException;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.springframework.http.HttpMethod;
|
||||
import org.springframework.http.ResponseEntity;
|
||||
import org.springframework.stereotype.Component;
|
||||
import org.springframework.util.CollectionUtils;
|
||||
|
||||
@@ -43,7 +38,6 @@ public class MetricAnalyzeQuery extends LLMSemanticQuery {
|
||||
|
||||
public static final String QUERY_MODE = "METRIC_INTERPRET";
|
||||
|
||||
|
||||
public MetricAnalyzeQuery() {
|
||||
QueryManager.register(this);
|
||||
}
|
||||
@@ -151,23 +145,7 @@ public class MetricAnalyzeQuery extends LLMSemanticQuery {
|
||||
}
|
||||
|
||||
public String fetchInterpret(String queryText, String dataText) {
|
||||
LLMAnswerReq lLmAnswerReq = new LLMAnswerReq();
|
||||
lLmAnswerReq.setQueryText(queryText);
|
||||
lLmAnswerReq.setPluginOutput(dataText);
|
||||
EmbeddingUtils embeddingUtils = ContextUtils.getBean(EmbeddingUtils.class);
|
||||
EmbeddingConfig embeddingConfig = ContextUtils.getBean(EmbeddingConfig.class);
|
||||
String metricAnalyzeQueryCollection = embeddingConfig.getMetricAnalyzeQueryCollection();
|
||||
|
||||
String url = String.format("%s/retrieve_query?collection_name=%s", embeddingConfig.getUrl(),
|
||||
metricAnalyzeQueryCollection);
|
||||
|
||||
ResponseEntity<String> responseEntity = embeddingUtils.doRequest(url, JSONObject.toJSONString(lLmAnswerReq),
|
||||
HttpMethod.POST);
|
||||
LLMAnswerResp lLmAnswerResp = JSONObject.parseObject(responseEntity.getBody(), LLMAnswerResp.class);
|
||||
if (lLmAnswerResp != null) {
|
||||
return lLmAnswerResp.getAssistantMessage();
|
||||
}
|
||||
return null;
|
||||
return "";
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@@ -8,11 +8,11 @@ import com.tencent.supersonic.chat.parser.LLMProxy;
|
||||
import com.tencent.supersonic.chat.parser.sql.llm.ModelResolver;
|
||||
import com.tencent.supersonic.chat.processor.ParseResultProcessor;
|
||||
import com.tencent.supersonic.chat.query.QueryResponder;
|
||||
import org.apache.commons.collections.CollectionUtils;
|
||||
import org.springframework.core.io.support.SpringFactoriesLoader;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.Objects;
|
||||
import org.apache.commons.collections.CollectionUtils;
|
||||
import org.springframework.core.io.support.SpringFactoriesLoader;
|
||||
|
||||
public class ComponentFactory {
|
||||
|
||||
|
||||
@@ -4,11 +4,12 @@ import com.google.common.collect.Lists;
|
||||
import com.tencent.supersonic.chat.api.pojo.request.SolvedQueryReq;
|
||||
import com.tencent.supersonic.chat.api.pojo.response.SolvedQueryRecallResp;
|
||||
import com.tencent.supersonic.common.config.EmbeddingConfig;
|
||||
import com.tencent.supersonic.common.util.ComponentFactory;
|
||||
import com.tencent.supersonic.common.util.embedding.EmbeddingQuery;
|
||||
import com.tencent.supersonic.common.util.embedding.EmbeddingUtils;
|
||||
import com.tencent.supersonic.common.util.embedding.Retrieval;
|
||||
import com.tencent.supersonic.common.util.embedding.RetrieveQuery;
|
||||
import com.tencent.supersonic.common.util.embedding.RetrieveQueryResult;
|
||||
import com.tencent.supersonic.common.util.embedding.S2EmbeddingStore;
|
||||
import java.net.URI;
|
||||
import java.util.HashMap;
|
||||
import java.util.HashSet;
|
||||
@@ -36,11 +37,11 @@ public class SolvedQueryManager {
|
||||
|
||||
private EmbeddingConfig embeddingConfig;
|
||||
|
||||
private EmbeddingUtils embeddingUtils;
|
||||
private S2EmbeddingStore s2EmbeddingStore = ComponentFactory.getS2EmbeddingStore();
|
||||
|
||||
public SolvedQueryManager(EmbeddingConfig embeddingConfig, EmbeddingUtils embeddingUtils) {
|
||||
|
||||
public SolvedQueryManager(EmbeddingConfig embeddingConfig) {
|
||||
this.embeddingConfig = embeddingConfig;
|
||||
this.embeddingUtils = embeddingUtils;
|
||||
}
|
||||
|
||||
public void saveSolvedQuery(SolvedQueryReq solvedQueryReq) {
|
||||
@@ -54,12 +55,12 @@ public class SolvedQueryManager {
|
||||
embeddingQuery.setQueryId(uniqueId);
|
||||
embeddingQuery.setQuery(queryText);
|
||||
|
||||
Map<String, String> metaData = new HashMap<>();
|
||||
metaData.put("modelId", String.valueOf(solvedQueryReq.getModelId()));
|
||||
metaData.put("agentId", String.valueOf(solvedQueryReq.getAgentId()));
|
||||
Map<String, Object> metaData = new HashMap<>();
|
||||
metaData.put("modelId", (solvedQueryReq.getModelId()));
|
||||
metaData.put("agentId", solvedQueryReq.getAgentId());
|
||||
embeddingQuery.setMetadata(metaData);
|
||||
String solvedQueryCollection = embeddingConfig.getSolvedQueryCollection();
|
||||
embeddingUtils.addQuery(solvedQueryCollection, Lists.newArrayList(embeddingQuery));
|
||||
s2EmbeddingStore.addQuery(solvedQueryCollection, Lists.newArrayList(embeddingQuery));
|
||||
} catch (Exception e) {
|
||||
log.warn("save history question to embedding failed, queryText:{}", queryText, e);
|
||||
}
|
||||
@@ -80,7 +81,7 @@ public class SolvedQueryManager {
|
||||
.queryTextsList(Lists.newArrayList(queryText))
|
||||
.filterCondition(filterCondition)
|
||||
.build();
|
||||
List<RetrieveQueryResult> resultList = embeddingUtils.retrieveQuery(solvedQueryCollection, retrieveQuery,
|
||||
List<RetrieveQueryResult> resultList = s2EmbeddingStore.retrieveQuery(solvedQueryCollection, retrieveQuery,
|
||||
solvedQueryResultNum);
|
||||
|
||||
log.info("[embedding] recognize result body:{}", resultList);
|
||||
|
||||
Reference in New Issue
Block a user