mirror of
https://github.com/dromara/RuoYi-Vue-Plus.git
synced 2026-08-10 21:31:01 +00:00
update snail-ai 1.1.0
This commit is contained in:
疯狂的狮子Li
@@ -43,7 +43,7 @@
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<redisson.version>4.6.1</redisson.version>
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<lock4j.version>2.2.7</lock4j.version>
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<snailjob.version>2.0.2</snailjob.version>
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<snailai.version>1.0.0</snailai.version>
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<snailai.version>1.1.0</snailai.version>
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<!-- 通用工具、编译增强与代码生成相关依赖版本 -->
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<hutool.version>5.8.47</hutool.version>
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-124
@@ -1,124 +0,0 @@
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package org.dromara.common.ai.handler;
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import com.aizuda.snail.ai.agent.chat.starter.SnailAiChatGatewayController;
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import com.aizuda.snail.ai.common.execption.BaseSnailAiException;
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import com.aizuda.snail.ai.common.execption.SnailAiAuthenticationException;
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import com.aizuda.snail.ai.common.model.ModelCallException;
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import com.aizuda.snail.ai.common.model.Result;
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import jakarta.validation.ConstraintViolation;
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import jakarta.validation.ConstraintViolationException;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.context.MessageSourceResolvable;
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import org.springframework.core.Ordered;
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import org.springframework.core.annotation.Order;
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import org.springframework.http.converter.HttpMessageNotReadableException;
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import org.springframework.validation.BindException;
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import org.springframework.web.bind.MethodArgumentNotValidException;
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import org.springframework.web.bind.annotation.ExceptionHandler;
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import org.springframework.web.bind.annotation.RestControllerAdvice;
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import org.springframework.web.method.annotation.HandlerMethodValidationException;
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import java.util.Collection;
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import java.util.stream.Collectors;
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/**
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* Snail AI Chat 网关异常处理器。
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* <p>
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* /api/snail/chat/** 接口由 Snail AI SDK 前端消费，响应结构需要保持 SDK Result(status/message/data)，
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* 不能落到 RuoYi 通用 R(code/msg/data) 格式。
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*/
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@Slf4j
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@Order(Ordered.HIGHEST_PRECEDENCE)
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@RestControllerAdvice(assignableTypes = SnailAiChatGatewayController.class)
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public class SnailAiChatExceptionHandler {
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private static final int AUTHENTICATION_ERROR_STATUS = 5001;
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@ExceptionHandler(SnailAiAuthenticationException.class)
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public Result<Void> handleAuthenticationException(SnailAiAuthenticationException e) {
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log.warn("Snail AI Chat authentication failed: {}", e.getMessage());
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return Result.fail(AUTHENTICATION_ERROR_STATUS, defaultMessage(e, "认证失败，请重新登录"));
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}
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@ExceptionHandler(BaseSnailAiException.class)
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public Result<Void> handleSnailAiException(BaseSnailAiException e) {
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log.warn("Snail AI Chat request failed: {}", e.getMessage());
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return Result.fail(defaultMessage(e, "AI 服务请求失败，请稍后再试"));
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}
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@ExceptionHandler(ModelCallException.class)
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public Result<Void> handleModelCallException(ModelCallException e) {
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log.warn("Snail AI Chat model call failed: {}", e.getMessage(), e);
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return Result.fail(defaultMessage(e, "模型调用失败，请稍后再试"));
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}
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@ExceptionHandler({
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BindException.class,
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MethodArgumentNotValidException.class,
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HandlerMethodValidationException.class
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})
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public Result<Void> handleValidationException(Exception e) {
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log.warn("Snail AI Chat validation failed: {}", e.getMessage());
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return Result.fail(validationMessage(e));
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}
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@ExceptionHandler(ConstraintViolationException.class)
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public Result<Void> handleConstraintViolationException(ConstraintViolationException e) {
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log.warn("Snail AI Chat constraint validation failed: {}", e.getMessage());
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String message = e.getConstraintViolations().stream()
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.map(ConstraintViolation::getMessage)
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.filter(this::hasText)
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.collect(Collectors.joining(", "));
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return Result.fail(hasText(message) ? message : "请求参数校验失败");
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}
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@ExceptionHandler(HttpMessageNotReadableException.class)
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public Result<Void> handleHttpMessageNotReadableException(HttpMessageNotReadableException e) {
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log.warn("Snail AI Chat request body parse failed: {}", e.getMessage());
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return Result.fail("请求参数格式错误");
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}
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@ExceptionHandler(IllegalArgumentException.class)
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public Result<Void> handleIllegalArgumentException(IllegalArgumentException e) {
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log.warn("Snail AI Chat illegal argument: {}", e.getMessage());
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return Result.fail(defaultMessage(e, "请求参数不合法"));
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}
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@ExceptionHandler(IllegalStateException.class)
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public Result<Void> handleIllegalStateException(IllegalStateException e) {
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log.warn("Snail AI Chat illegal state: {}", e.getMessage());
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return Result.fail(defaultMessage(e, "AI 会话状态异常，请刷新后重试"));
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}
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@ExceptionHandler(Exception.class)
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public Result<Void> handleException(Exception e) {
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log.error("Snail AI Chat unexpected exception", e);
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return Result.fail("AI 服务异常，请稍后再试");
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}
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private String validationMessage(Exception e) {
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Collection<? extends MessageSourceResolvable> errors;
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if (e instanceof BindException bindException) {
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errors = bindException.getAllErrors();
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} else if (e instanceof MethodArgumentNotValidException methodArgumentNotValidException) {
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errors = methodArgumentNotValidException.getBindingResult().getAllErrors();
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} else if (e instanceof HandlerMethodValidationException handlerMethodValidationException) {
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errors = handlerMethodValidationException.getAllErrors();
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} else {
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return "请求参数校验失败";
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}
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String message = errors.stream()
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.map(MessageSourceResolvable::getDefaultMessage)
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.filter(this::hasText)
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.collect(Collectors.joining(", "));
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return hasText(message) ? message : "请求参数校验失败";
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}
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private String defaultMessage(Throwable e, String fallback) {
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return hasText(e.getMessage()) ? e.getMessage() : fallback;
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}
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private boolean hasText(String value) {
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return value != null && !value.isBlank();
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}
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}
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+1
-1
@@ -17,7 +17,7 @@ public class SnailAiServerApplication {
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* @param args 启动参数
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*/
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public static void main(String[] args) {
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com.aizuda.snail.ai.starter.SnailAiSpringbootApplication.main(args);
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com.aizuda.snail.ai.starter.SnailAiApplication.main(args);
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}
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}
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@@ -35,6 +35,24 @@ snail-ai:
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access-key: minioadmin
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secret-key: minioadmin
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bucket: snail-ai
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# RAG 文档解析与图片 OCR 配置
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rag:
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docling:
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enabled: ${SNAIL_AI_RAG_DOCLING_ENABLED:true}
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url: ${SNAIL_AI_RAG_DOCLING_URL:http://127.0.0.1:5100}
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timeout-seconds: ${SNAIL_AI_RAG_DOCLING_TIMEOUT_SECONDS:300}
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concurrency: ${SNAIL_AI_RAG_DOCLING_CONCURRENCY:3}
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health-timeout-millis: ${SNAIL_AI_RAG_DOCLING_HEALTH_TIMEOUT_MILLIS:3000}
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poll-interval-millis: ${SNAIL_AI_RAG_DOCLING_POLL_INTERVAL_MILLIS:3000}
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status-timeout-millis: ${SNAIL_AI_RAG_DOCLING_STATUS_TIMEOUT_MILLIS:10000}
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result-timeout-millis: ${SNAIL_AI_RAG_DOCLING_RESULT_TIMEOUT_MILLIS:30000}
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max-image-count: ${SNAIL_AI_RAG_DOCLING_MAX_IMAGE_COUNT:100}
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max-image-bytes: ${SNAIL_AI_RAG_DOCLING_MAX_IMAGE_BYTES:10485760}
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paddle-ocr-enabled: ${SNAIL_AI_RAG_DOCLING_PADDLE_OCR_ENABLED:true}
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paddle-ocr-url: ${SNAIL_AI_RAG_DOCLING_PADDLE_OCR_URL:http://127.0.0.1:8866/ocr}
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paddle-ocr-timeout-millis: ${SNAIL_AI_RAG_DOCLING_PADDLE_OCR_TIMEOUT_MILLIS:180000}
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paddle-ocr-batch-size: ${SNAIL_AI_RAG_DOCLING_PADDLE_OCR_BATCH_SIZE:5}
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vision-ocr-fallback-enabled: ${SNAIL_AI_RAG_DOCLING_VISION_OCR_FALLBACK_ENABLED:false}
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# 短期记忆配置
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memory:
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short-term:
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@@ -162,6 +162,11 @@ services:
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environment:
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# 时区上海
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TZ: Asia/Shanghai
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# Docling 与 PaddleOCR 服务需单独部署；host 网络模式下默认通过宿主机端口访问
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SNAIL_AI_RAG_DOCLING_ENABLED: ${SNAIL_AI_RAG_DOCLING_ENABLED:-true}
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SNAIL_AI_RAG_DOCLING_URL: ${SNAIL_AI_RAG_DOCLING_URL:-http://127.0.0.1:5100}
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SNAIL_AI_RAG_DOCLING_PADDLE_OCR_ENABLED: ${SNAIL_AI_RAG_DOCLING_PADDLE_OCR_ENABLED:-true}
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SNAIL_AI_RAG_DOCLING_PADDLE_OCR_URL: ${SNAIL_AI_RAG_DOCLING_PADDLE_OCR_URL:-http://127.0.0.1:8866/ocr}
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ports:
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- "8900:8900"
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- "18888:18888"
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@@ -318,6 +318,7 @@ CREATE TABLE IF NOT EXISTS sai_agent_conversation_record
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role VARCHAR(16) DEFAULT 'user',
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content TEXT,
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thinking TEXT,
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metadata TEXT DEFAULT NULL,
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status INT DEFAULT 1,
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input_tokens INT DEFAULT 0,
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output_tokens INT DEFAULT 0,
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@@ -332,6 +333,7 @@ COMMENT ON COLUMN sai_agent_conversation_record.user_id IS '用户ID';
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COMMENT ON COLUMN sai_agent_conversation_record.role IS 'user/assistant';
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COMMENT ON COLUMN sai_agent_conversation_record.content IS '消息内容';
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COMMENT ON COLUMN sai_agent_conversation_record.thinking IS '思考过程（仅assistant）';
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COMMENT ON COLUMN sai_agent_conversation_record.metadata IS '消息扩展元数据JSON';
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COMMENT ON COLUMN sai_agent_conversation_record.status IS '1=成功,2=失败,3=进行中';
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COMMENT ON COLUMN sai_agent_conversation_record.input_tokens IS '输入Token数（prompt）';
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COMMENT ON COLUMN sai_agent_conversation_record.output_tokens IS '输出Token数（completion）';
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@@ -438,6 +440,13 @@ CREATE TABLE sai_rag_document
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status SMALLINT DEFAULT 0,
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error_msg TEXT,
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chunk_count INT DEFAULT 0,
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page_count INT DEFAULT 0,
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element_count INT DEFAULT 0,
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table_count INT DEFAULT 0,
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image_count INT DEFAULT 0,
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parse_time INT DEFAULT 0,
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md_content TEXT DEFAULT NULL,
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doc_metadata TEXT DEFAULT NULL,
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content_hash VARCHAR(64) DEFAULT NULL,
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resource_id BIGINT DEFAULT NULL,
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create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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@@ -458,6 +467,39 @@ CREATE INDEX idx_rag_content_hash ON sai_rag_document (rag_id, content_hash);
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CREATE INDEX idx_rag_name ON sai_rag_document (rag_id, name);
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CREATE INDEX idx_rag_doc_resource ON sai_rag_document (resource_id);
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CREATE TABLE sai_rag_document_image
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(
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id BIGSERIAL PRIMARY KEY,
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rag_id BIGINT NOT NULL,
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document_id BIGINT NOT NULL,
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chunk_id BIGINT DEFAULT NULL,
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resource_id BIGINT DEFAULT NULL,
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image_index INT,
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image_url VARCHAR(1024),
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caption TEXT,
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figure_no VARCHAR(64),
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figure_title VARCHAR(512),
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section_title VARCHAR(512),
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source_page INT,
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document_name VARCHAR(255),
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ocr_text TEXT,
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create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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update_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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COMMENT ON TABLE sai_rag_document_image IS 'RAG document parsed image table';
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COMMENT ON COLUMN sai_rag_document_image.resource_id IS 'Linked resource id in sai_resource';
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CREATE TRIGGER trigger_sai_rag_document_image_update
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BEFORE UPDATE ON sai_rag_document_image
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FOR EACH ROW
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EXECUTE FUNCTION update_timestamp();
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CREATE INDEX idx_rag_doc_image_rag ON sai_rag_document_image (rag_id);
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CREATE INDEX idx_rag_doc_image_document ON sai_rag_document_image (document_id);
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CREATE INDEX idx_rag_doc_image_chunk ON sai_rag_document_image (chunk_id);
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CREATE INDEX idx_rag_doc_image_resource ON sai_rag_document_image (resource_id);
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-- 4.3 RAG 分块表
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CREATE TABLE sai_rag_chunk
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(
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@@ -470,11 +512,13 @@ CREATE TABLE sai_rag_chunk
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token_count INT,
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vector_id VARCHAR(128),
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content_hash VARCHAR(64) DEFAULT NULL,
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source_type VARCHAR(20) NOT NULL DEFAULT 'TEXT',
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create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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update_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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COMMENT ON COLUMN sai_rag_chunk.content_hash IS 'chunk内容SHA-256，用于向量去重';
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COMMENT ON COLUMN sai_rag_chunk.source_type IS 'chunk来源类型：TEXT文本、IMAGE图片';
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CREATE TRIGGER trigger_sai_rag_chunk_update
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BEFORE UPDATE ON sai_rag_chunk
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@@ -484,6 +528,7 @@ CREATE TRIGGER trigger_sai_rag_chunk_update
|
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CREATE INDEX idx_rag_chunk_rag ON sai_rag_chunk (rag_id);
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CREATE INDEX idx_rag_chunk_document ON sai_rag_chunk (document_id);
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CREATE INDEX idx_chunk_rag_hash ON sai_rag_chunk (rag_id, content_hash);
|
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CREATE INDEX idx_chunk_rag_source_type ON sai_rag_chunk (rag_id, source_type);
|
||||
|
||||
-- ============================================================
|
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-- 五、MCP 服务管理
|
||||
@@ -501,11 +546,8 @@ CREATE TABLE IF NOT EXISTS sai_mcp_server
|
||||
command VARCHAR(1024),
|
||||
args TEXT,
|
||||
env_vars TEXT,
|
||||
version VARCHAR(32) DEFAULT '1.0.0',
|
||||
auth_type SMALLINT DEFAULT 0,
|
||||
auth_config TEXT,
|
||||
status SMALLINT DEFAULT 0,
|
||||
capabilities TEXT,
|
||||
timeout BIGINT DEFAULT 60000,
|
||||
headers TEXT,
|
||||
last_connect_dt TIMESTAMP NULL,
|
||||
creator_id BIGINT,
|
||||
create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
||||
@@ -521,11 +563,8 @@ COMMENT ON COLUMN sai_mcp_server.endpoint IS '端点路径(SSE/Streamable HTTP
|
||||
COMMENT ON COLUMN sai_mcp_server.command IS 'Stdio命令(Stdio时必填)';
|
||||
COMMENT ON COLUMN sai_mcp_server.args IS 'Stdio命令参数(JSON数组)';
|
||||
COMMENT ON COLUMN sai_mcp_server.env_vars IS 'Stdio环境变量(JSON对象)';
|
||||
COMMENT ON COLUMN sai_mcp_server.version IS '版本';
|
||||
COMMENT ON COLUMN sai_mcp_server.auth_type IS '认证方式: 0-无需认证 1-API Key 2-OAuth 3-Basic Auth';
|
||||
COMMENT ON COLUMN sai_mcp_server.auth_config IS '认证配置(JSON)';
|
||||
COMMENT ON COLUMN sai_mcp_server.status IS '状态: 0-未连接 1-已连接 2-异常';
|
||||
COMMENT ON COLUMN sai_mcp_server.capabilities IS '能力列表(JSON数组)';
|
||||
COMMENT ON COLUMN sai_mcp_server.timeout IS '超时时间(毫秒)';
|
||||
COMMENT ON COLUMN sai_mcp_server.headers IS '请求头(JSON对象)';
|
||||
COMMENT ON COLUMN sai_mcp_server.last_connect_dt IS '最后连接时间';
|
||||
COMMENT ON COLUMN sai_mcp_server.creator_id IS '创建者用户ID';
|
||||
|
||||
@@ -535,7 +574,6 @@ CREATE TRIGGER trigger_sai_mcp_server_update
|
||||
EXECUTE FUNCTION update_timestamp();
|
||||
|
||||
CREATE INDEX idx_mcp_server_creator ON sai_mcp_server (creator_id);
|
||||
CREATE INDEX idx_mcp_server_status ON sai_mcp_server (status);
|
||||
|
||||
-- 5.2 智能体与MCP服务关联表（多对多）
|
||||
CREATE TABLE IF NOT EXISTS sai_agent_mcp_server
|
||||
|
||||
+39
-6
@@ -190,6 +190,7 @@ CREATE TABLE IF NOT EXISTS sai_agent_conversation_record
|
||||
role VARCHAR(16) DEFAULT 'user' COMMENT 'user/assistant',
|
||||
content TEXT COMMENT '消息内容',
|
||||
thinking TEXT COMMENT '思考过程（仅assistant）',
|
||||
metadata LONGTEXT DEFAULT NULL COMMENT '消息扩展元数据JSON',
|
||||
status INT DEFAULT 1 COMMENT '1=成功,2=失败,3=进行中',
|
||||
input_tokens INT DEFAULT 0 COMMENT '输入Token数（prompt）',
|
||||
output_tokens INT DEFAULT 0 COMMENT '输出Token数（completion）',
|
||||
@@ -280,6 +281,13 @@ CREATE TABLE sai_rag_document
|
||||
status TINYINT(1) DEFAULT 0 COMMENT '状态: 0-待处理 1-解析中 2-处理中 3-处理完成 4-处理失败',
|
||||
error_msg TEXT,
|
||||
chunk_count INT DEFAULT 0,
|
||||
page_count INT DEFAULT 0 COMMENT 'Docling parse page count',
|
||||
element_count INT DEFAULT 0 COMMENT 'Docling parse element count',
|
||||
table_count INT DEFAULT 0 COMMENT 'Docling parse table count',
|
||||
image_count INT DEFAULT 0 COMMENT 'Docling parse image count',
|
||||
parse_time INT DEFAULT 0 COMMENT 'Parse duration in milliseconds',
|
||||
md_content LONGTEXT DEFAULT NULL COMMENT 'Docling markdown content',
|
||||
doc_metadata LONGTEXT DEFAULT NULL COMMENT 'Docling document metadata JSON',
|
||||
content_hash VARCHAR(64) DEFAULT NULL COMMENT '文件内容SHA-256哈希，用于去重',
|
||||
resource_id BIGINT DEFAULT NULL COMMENT '关联资源库 sai_resource.id',
|
||||
create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
||||
@@ -293,6 +301,33 @@ CREATE INDEX idx_rag_content_hash ON sai_rag_document (rag_id, content_hash);
|
||||
CREATE INDEX idx_rag_name ON sai_rag_document (rag_id, name);
|
||||
CREATE INDEX idx_rag_doc_resource ON sai_rag_document (resource_id);
|
||||
|
||||
CREATE TABLE sai_rag_document_image
|
||||
(
|
||||
id BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
|
||||
rag_id BIGINT NOT NULL,
|
||||
document_id BIGINT NOT NULL,
|
||||
chunk_id BIGINT DEFAULT NULL,
|
||||
resource_id BIGINT DEFAULT NULL,
|
||||
image_index INT,
|
||||
image_url VARCHAR(1024),
|
||||
caption TEXT,
|
||||
figure_no VARCHAR(64),
|
||||
figure_title VARCHAR(512),
|
||||
section_title VARCHAR(512),
|
||||
source_page INT,
|
||||
document_name VARCHAR(255),
|
||||
ocr_text TEXT,
|
||||
create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
||||
update_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
|
||||
) ENGINE = InnoDB
|
||||
DEFAULT CHARSET = utf8mb4
|
||||
COLLATE = utf8mb4_unicode_ci;
|
||||
|
||||
CREATE INDEX idx_rag_doc_image_rag ON sai_rag_document_image (rag_id);
|
||||
CREATE INDEX idx_rag_doc_image_document ON sai_rag_document_image (document_id);
|
||||
CREATE INDEX idx_rag_doc_image_chunk ON sai_rag_document_image (chunk_id);
|
||||
CREATE INDEX idx_rag_doc_image_resource ON sai_rag_document_image (resource_id);
|
||||
|
||||
-- 4.3 RAG 分块表
|
||||
CREATE TABLE sai_rag_chunk
|
||||
(
|
||||
@@ -305,6 +340,7 @@ CREATE TABLE sai_rag_chunk
|
||||
token_count INT,
|
||||
vector_id VARCHAR(128),
|
||||
content_hash VARCHAR(64) DEFAULT NULL COMMENT 'chunk内容SHA-256，用于向量去重',
|
||||
source_type VARCHAR(20) NOT NULL DEFAULT 'TEXT' COMMENT 'chunk来源类型：TEXT文本、IMAGE图片',
|
||||
create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
||||
update_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
|
||||
) ENGINE = InnoDB
|
||||
@@ -314,6 +350,7 @@ CREATE TABLE sai_rag_chunk
|
||||
CREATE INDEX idx_rag_chunk_rag ON sai_rag_chunk (rag_id);
|
||||
CREATE INDEX idx_rag_chunk_document ON sai_rag_chunk (document_id);
|
||||
CREATE INDEX idx_chunk_rag_hash ON sai_rag_chunk (rag_id, content_hash);
|
||||
CREATE INDEX idx_chunk_rag_source_type ON sai_rag_chunk (rag_id, source_type);
|
||||
|
||||
|
||||
-- ============================================================
|
||||
@@ -332,11 +369,8 @@ CREATE TABLE IF NOT EXISTS sai_mcp_server
|
||||
command VARCHAR(1024) COMMENT 'Stdio命令(Stdio时必填)',
|
||||
args TEXT COMMENT 'Stdio命令参数(JSON数组)',
|
||||
env_vars TEXT COMMENT 'Stdio环境变量(JSON对象)',
|
||||
version VARCHAR(32) DEFAULT '1.0.0' COMMENT '版本',
|
||||
auth_type TINYINT(1) DEFAULT 0 COMMENT '认证方式: 0-无需认证 1-API Key 2-OAuth 3-Basic Auth',
|
||||
auth_config TEXT COMMENT '认证配置(JSON)',
|
||||
status TINYINT(1) DEFAULT 0 COMMENT '状态: 0-未连接 1-已连接 2-异常',
|
||||
capabilities TEXT COMMENT '能力列表(JSON数组)',
|
||||
timeout BIGINT DEFAULT 60000 COMMENT '超时时间(毫秒)',
|
||||
headers TEXT COMMENT '请求头(JSON对象)',
|
||||
last_connect_dt TIMESTAMP NULL COMMENT '最后连接时间',
|
||||
creator_id BIGINT COMMENT '创建者用户ID',
|
||||
create_dt TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
|
||||
@@ -346,7 +380,6 @@ CREATE TABLE IF NOT EXISTS sai_mcp_server
|
||||
COLLATE = utf8mb4_unicode_ci COMMENT = 'MCP服务配置表';
|
||||
|
||||
CREATE INDEX idx_mcp_server_creator ON sai_mcp_server (creator_id);
|
||||
CREATE INDEX idx_mcp_server_status ON sai_mcp_server (status);
|
||||
|
||||
-- 5.2 智能体与MCP服务关联表（多对多）
|
||||
CREATE TABLE IF NOT EXISTS sai_agent_mcp_server
|
||||
|
||||
Reference in New Issue
Block a user