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(improvement)(headless)Commit new impl of SqlGenStrategy
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...e/src/main/java/com/tencent/supersonic/headless/core/chat/parser/llm/PromptGenerator.java
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...core/src/main/java/com/tencent/supersonic/headless/core/chat/parser/llm/PromptHelper.java
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| package com.tencent.supersonic.headless.core.chat.parser.llm; | ||
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| import com.tencent.supersonic.headless.core.chat.query.llm.s2sql.LLMReq; | ||
| import com.tencent.supersonic.headless.core.chat.query.llm.s2sql.LLMReq.ElementValue; | ||
| import com.tencent.supersonic.headless.core.config.ParserConfig; | ||
| import lombok.extern.slf4j.Slf4j; | ||
| import org.apache.commons.lang3.StringUtils; | ||
| import org.apache.commons.lang3.tuple.Pair; | ||
| import org.springframework.beans.factory.annotation.Autowired; | ||
| import org.springframework.stereotype.Component; | ||
| import org.springframework.util.CollectionUtils; | ||
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| import java.util.ArrayList; | ||
| import java.util.Collections; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
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| import static com.tencent.supersonic.headless.core.config.ParserConfig.PARSER_EXEMPLAR_RECALL_NUMBER; | ||
| import static com.tencent.supersonic.headless.core.config.ParserConfig.PARSER_FEW_SHOT_NUMBER; | ||
| import static com.tencent.supersonic.headless.core.config.ParserConfig.PARSER_SELF_CONSISTENCY_NUMBER; | ||
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| @Component | ||
| @Slf4j | ||
| public class PromptHelper { | ||
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| @Autowired | ||
| private ParserConfig parserConfig; | ||
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| @Autowired | ||
| private ExemplarManager exemplarManager; | ||
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| public List<List<Map<String, String>>> getFewShotExemplars(LLMReq llmReq) { | ||
| int exemplarRecallNumber = Integer.valueOf(parserConfig.getParameterValue(PARSER_EXEMPLAR_RECALL_NUMBER)); | ||
| int fewShotNumber = Integer.valueOf(parserConfig.getParameterValue(PARSER_FEW_SHOT_NUMBER)); | ||
| int selfConsistencyNumber = Integer.valueOf(parserConfig.getParameterValue(PARSER_SELF_CONSISTENCY_NUMBER)); | ||
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| List<Map<String, String>> exemplars = exemplarManager.recallExemplars(llmReq.getQueryText(), | ||
| exemplarRecallNumber); | ||
| List<List<Map<String, String>>> results = new ArrayList<>(); | ||
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| // use random collection of exemplars for each self-consistency inference | ||
| for (int i = 0; i < selfConsistencyNumber; i++) { | ||
| List<Map<String, String>> shuffledList = new ArrayList<>(exemplars); | ||
| Collections.shuffle(shuffledList); | ||
| results.add(shuffledList.subList(0, fewShotNumber)); | ||
| } | ||
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| return results; | ||
| } | ||
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| public Pair<String, String> transformQuestionPrompt(LLMReq llmReq) { | ||
| String tableName = llmReq.getSchema().getDataSetName(); | ||
| List<String> fieldNameList = llmReq.getSchema().getFieldNameList(); | ||
| List<LLMReq.ElementValue> linkedValues = llmReq.getLinking(); | ||
| String currentDate = llmReq.getCurrentDate(); | ||
| String priorExts = llmReq.getPriorExts(); | ||
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| String dbSchema = "Table: " + tableName + ", Columns = " + fieldNameList; | ||
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| List<String> priorLinkingList = new ArrayList<>(); | ||
| for (ElementValue value : linkedValues) { | ||
| String fieldName = value.getFieldName(); | ||
| String fieldValue = value.getFieldValue(); | ||
| priorLinkingList.add("‘" + fieldValue + "‘是一个‘" + fieldName + "‘"); | ||
| } | ||
| String currentDataStr = "current date is " + currentDate; | ||
| String linkingListStr = String.join("，", priorLinkingList); | ||
| String termStr = getTermStr(llmReq); | ||
| String questionAugmented = String.format("%s (补充信息:%s . %s . %s) (备注: %s)", llmReq.getQueryText(), | ||
| linkingListStr, currentDataStr, termStr, priorExts); | ||
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| return Pair.of(dbSchema, questionAugmented); | ||
| } | ||
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| private String getTermStr(LLMReq llmReq) { | ||
| List<LLMReq.Term> terms = llmReq.getSchema().getTerms(); | ||
| StringBuilder termsDesc = new StringBuilder(); | ||
| if (!CollectionUtils.isEmpty(terms)) { | ||
| termsDesc.append("相关业务术语："); | ||
| for (int idx = 0; idx < terms.size(); idx++) { | ||
| LLMReq.Term term = terms.get(idx); | ||
| String name = term.getName(); | ||
| String description = term.getDescription(); | ||
| List<String> alias = term.getAlias(); | ||
| String descPart = StringUtils.isBlank(description) ? "" : String.format("，它通常是指<%s>", description); | ||
| String aliasPart = CollectionUtils.isEmpty(alias) ? "" : String.format("，类似的表达还有%s", alias); | ||
| termsDesc.append(String.format("%d.<%s>是业务术语%s%s；", idx + 1, name, descPart, aliasPart)); | ||
| } | ||
| if (termsDesc.length() > 0) { | ||
| termsDesc.setLength(termsDesc.length() - 1); | ||
| } | ||
| } | ||
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| return termsDesc.toString(); | ||
| } | ||
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| } |
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