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(improvement)(common|headless|chat|auth) 鉴权优化与召回优化
1 修复生成的用户token 一生成就失效的问题 2 如果用户设置的token ,需校验是否数据库存在,因为用户可设置一年的token 有泄露风险 3 结果解析优化, 去除不可以解析的情况,解析问题需要改写后的问, 4 召回样例,用相似度,保住至少有一个样例是高相似度的 5 数据集召回,填加完全匹配格式筛选逻辑
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@@ -19,6 +19,7 @@ import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.BeanUtils;
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import java.sql.Timestamp;
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import java.util.Date;
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import java.util.List;
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import java.util.Optional;
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import java.util.Set;
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@@ -223,8 +224,8 @@ public class DefaultUserAdaptor implements UserAdaptor {
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userDO.getEmail(), userDO.getPassword(), userDO.getIsAdmin());
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// 使用令牌名称作为生成key ,这样可以区分正常请求和api 请求,api 的令牌失效时间很长,需考虑令牌泄露的情况
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String token =
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tokenService.generateToken(UserWithPassword.convert(userWithPassword),"SysDbToken:"+name, (new Date().getTime() + expireTime));
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String token = tokenService.generateToken(UserWithPassword.convert(userWithPassword),
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"SysDbToken:" + name, (new Date().getTime() + expireTime));
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UserTokenDO userTokenDO = saveUserToken(name, userName, token, expireTime);
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return convertUserToken(userTokenDO);
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}
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@@ -21,6 +21,8 @@ public interface UserRepository {
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UserTokenDO getUserToken(Long tokenId);
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UserTokenDO getUserTokenByName(String tokenName);
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void deleteUserTokenByName(String userName);
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void deleteUserToken(Long tokenId);
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@@ -65,6 +65,13 @@ public class UserRepositoryImpl implements UserRepository {
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return userTokenDOMapper.selectById(tokenId);
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}
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@Override
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public UserTokenDO getUserTokenByName(String tokenName) {
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QueryWrapper<UserTokenDO> queryWrapper = new QueryWrapper<>();
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queryWrapper.lambda().eq(UserTokenDO::getName, tokenName);
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return userTokenDOMapper.selectOne(queryWrapper);
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}
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@Override
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public void deleteUserTokenByName(String userName) {
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QueryWrapper<UserTokenDO> queryWrapper = new QueryWrapper<>();
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@@ -94,10 +94,11 @@ public class TokenService {
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public Optional<Claims> getClaims(String token, String appKey) {
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try {
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if(StringUtils.isNotBlank(appKey)&&appKey.startsWith("SysDbToken:")) {// 如果是配置的长期令牌,需校验数据库是否存在该配置
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if (StringUtils.isNotBlank(appKey) && appKey.startsWith("SysDbToken:")) {// 如果是配置的长期令牌,需校验数据库是否存在该配置
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UserRepository userRepository = ContextUtils.getBean(UserRepository.class);
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UserTokenDO dbToken= userRepository.getUserTokenByName(appKey.substring("SysDbToken:".length()));
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if(dbToken==null||!dbToken.getToken().equals(token.replace("Bearer ",""))) {
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UserTokenDO dbToken =
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userRepository.getUserTokenByName(appKey.substring("SysDbToken:".length()));
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if (dbToken == null || !dbToken.getToken().equals(token.replace("Bearer ", ""))) {
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throw new AccessException("Token does not exist :" + appKey);
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}
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}
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@@ -133,14 +134,14 @@ public class TokenService {
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Map<String, String> appKeyToSecretMap = authenticationConfig.getAppKeyToSecretMap();
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String secret = appKeyToSecretMap.get(appKey);
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if (StringUtils.isBlank(secret)) {
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if(StringUtils.isNotBlank(appKey)&&appKey.startsWith("SysDbToken:")) { // 是配置的长期令牌
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String realAppKey=appKey.substring("SysDbToken:".length());
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String tmp = "WIaO9YRRVt+7QtpPvyWsARFngnEcbaKBk783uGFwMrbJBaochsqCH62L4Kijcb0sZCYoSsiKGV/zPml5MnZ3uQ==";
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if(tmp.length()<=realAppKey.length()) {
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if (StringUtils.isNotBlank(appKey) && appKey.startsWith("SysDbToken:")) { // 是配置的长期令牌
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String realAppKey = appKey.substring("SysDbToken:".length());
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String tmp =
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"WIaO9YRRVt+7QtpPvyWsARFngnEcbaKBk783uGFwMrbJBaochsqCH62L4Kijcb0sZCYoSsiKGV/zPml5MnZ3uQ==";
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if (tmp.length() <= realAppKey.length()) {
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return realAppKey;
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}
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else{
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return realAppKey+tmp.substring(realAppKey.length());
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} else {
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return realAppKey + tmp.substring(realAppKey.length());
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}
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}
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throw new AccessException("get secret from appKey failed :" + appKey);
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@@ -47,8 +47,8 @@ public class DataInterpretProcessor implements ExecuteResultProcessor {
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Agent agent = executeContext.getAgent();
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ChatApp chatApp = agent.getChatAppConfig().get(APP_KEY);
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return Objects.nonNull(chatApp) && chatApp.isEnable()
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&& StringUtils.isNotBlank(executeContext.getResponse().getTextResult()) // 如果都没结果,则无法处理
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&& StringUtils.isBlank(executeContext.getResponse().getTextSummary()); // 如果已经有汇总的结果了,无法再次处理
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&& StringUtils.isNotBlank(executeContext.getResponse().getTextResult()) // 如果都没结果,则无法处理
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&& StringUtils.isBlank(executeContext.getResponse().getTextSummary()); // 如果已经有汇总的结果了,无法再次处理
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}
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@Override
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@@ -59,10 +59,11 @@ public class DataInterpretProcessor implements ExecuteResultProcessor {
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Map<String, Object> variable = new HashMap<>();
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String question = executeContext.getResponse().getTextResult();// 结果解析应该用改写的问题,因为改写的内容信息量更大
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if(executeContext.getParseInfo().getProperties()!=null&&
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executeContext.getParseInfo().getProperties().containsKey("CONTEXT")){
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Map<String,Object> context = (Map<String, Object>) executeContext.getParseInfo().getProperties().get("CONTEXT");
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if(context.get("queryText")!=null&&"".equals(context.get("queryText"))){
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if (executeContext.getParseInfo().getProperties() != null
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&& executeContext.getParseInfo().getProperties().containsKey("CONTEXT")) {
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Map<String, Object> context = (Map<String, Object>) executeContext.getParseInfo()
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.getProperties().get("CONTEXT");
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if (context.get("queryText") != null && "".equals(context.get("queryText"))) {
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question = context.get("queryText").toString();
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}
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}
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@@ -21,7 +21,8 @@ public class LoadRemoveService {
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List<String> resultList = new ArrayList<>(value);
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if (!CollectionUtils.isEmpty(modelIdOrDataSetIds)) {
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resultList.removeIf(nature -> {
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if (Objects.isNull(nature)||!nature.startsWith("_")) { // 系统的字典是以 _ 开头的, 过滤因引用外部字典导致的异常
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if (Objects.isNull(nature) || !nature.startsWith("_")) { // 系统的字典是以 _ 开头的,
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// 过滤因引用外部字典导致的异常
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return false;
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}
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Long id = getId(nature);
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@@ -23,5 +23,5 @@ public class Text2SQLExemplar implements Serializable {
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private String sql;
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protected double similarity; // 传递相似度,可以作为样本筛选的依据
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protected double similarity; // 传递相似度,可以作为样本筛选的依据
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}
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@@ -72,7 +72,7 @@ public class ExemplarServiceImpl implements ExemplarService, CommandLineRunner {
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embeddingService.retrieveQuery(collection, retrieveQuery, num);
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results.forEach(ret -> {
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ret.getRetrieval().forEach(r -> {
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Text2SQLExemplar tmp = //传递相似度,可以作为样本筛选的依据
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Text2SQLExemplar tmp = // 传递相似度,可以作为样本筛选的依据
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JsonUtil.mapToObject(r.getMetadata(), Text2SQLExemplar.class);
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tmp.setSimilarity(r.getSimilarity());
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exemplars.add(tmp);
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@@ -66,7 +66,7 @@ public class SemanticParseInfo implements Serializable {
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DataSetMatchResult mr2 = getDataSetMatchResult(o2.getElementMatches());
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double difference = mr1.getMaxDatesetSimilarity() - mr2.getMaxDatesetSimilarity();
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if (Math.abs(difference) < 0.0005) { // 看完全匹配的个数,实践证明,可以用户输入规范后,该逻辑具有优势
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if (Math.abs(difference) < 0.0005) { // 看完全匹配的个数,实践证明,可以用户输入规范后,该逻辑具有优势
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if (!o1.getDataSetId().equals(o2.getDataSetId())) {
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List<SchemaElementMatch> elementMatches1 = o1.getElementMatches().stream()
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.filter(e -> e.getSimilarity() == 1).collect(Collectors.toList());
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@@ -49,7 +49,7 @@ public class PromptHelper {
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// use random collection of exemplars for each self-consistency inference
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for (int i = 0; i < selfConsistencyNumber; i++) {
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List<Text2SQLExemplar> shuffledList = new ArrayList<>(exemplars);
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List<Text2SQLExemplar> same = shuffledList.stream() // 相似度极高的话,先找出来
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List<Text2SQLExemplar> same = shuffledList.stream() // 相似度极高的话,先找出来
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.filter(e -> e.getSimilarity() > 0.989).collect(Collectors.toList());
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List<Text2SQLExemplar> noSame = shuffledList.stream()
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.filter(e -> e.getSimilarity() <= 0.989).collect(Collectors.toList());
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