服务层重构与优化：补全所有ServiceImpl实现类，修复RestTemplate注入，完善DTO与配置，保证编译与启动通过

2025-07-24 14:15:31 +08:00
parent 873b8e55da
commit cf4d73ceff
95 changed files with 5889 additions and 2282 deletions
@@ -1,11 +1,10 @@
 package com.emotionmuseum.ai.controller;

-import com.emotionmuseum.ai.dto.*;
-import com.emotionmuseum.ai.entity.Conversation;
-import com.emotionmuseum.ai.entity.Message;
+import com.emotionmuseum.ai.request.*;
+import com.emotionmuseum.ai.response.*;
 import com.emotionmuseum.ai.service.AiChatService;
 import com.emotionmuseum.ai.service.ConversationDbService;
-import com.emotionmuseum.common.dto.PageQuery;
+import com.emotionmuseum.common.response.BasePageResponse;
 import com.emotionmuseum.common.result.Result;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
@@ -16,7 +15,6 @@ import org.springframework.validation.annotation.Validated;
 import org.springframework.web.bind.annotation.*;

 import jakarta.validation.Valid;
-import java.util.List;

 /**
 * AI聊天控制器
@@ -40,17 +38,15 @@ public class AiChatController {
    public Result<CreateConversationResponse> createConversation(
            @Valid @RequestBody CreateConversationRequest request) {
        log.info("收到创建会话请求: userId={}, title={}", request.getUserId(), request.getTitle());
-
        CreateConversationResponse response = aiChatService.createConversation(request);
        return Result.success(response);
    }

    @Operation(summary = "发送聊天消息")
    @PostMapping("/send")
-    public Result<ChatResponse> sendMessage(@Valid @RequestBody ChatRequest request) {
+    public Result<AiChatResponse> sendMessage(@Valid @RequestBody AiChatRequest request) {
        log.info("收到聊天请求: userId={}, message={}", request.getUserId(), request.getMessage());
-
-        ChatResponse response = aiChatService.chat(request);
+        AiChatResponse response = aiChatService.chat(request);
        return Result.success(response);
    }

@@ -58,16 +54,14 @@ public class AiChatController {
    @PostMapping("/emotion/analyze")
    public Result<EmotionAnalysisResponse> analyzeEmotion(@Valid @RequestBody EmotionAnalysisRequest request) {
        log.info("收到情绪分析请求: userId={}, text={}", request.getUserId(), request.getText());
-
        EmotionAnalysisResponse response = aiChatService.analyzeEmotion(request);
        return Result.success(response);
    }

    @Operation(summary = "流式聊天")
    @PostMapping("/stream")
-    public Result<String> streamChat(@Valid @RequestBody ChatRequest request) {
+    public Result<String> streamChat(@Valid @RequestBody AiChatRequest request) {
        log.info("收到流式聊天请求: userId={}", request.getUserId());
-
        String response = aiChatService.streamChat(request);
        return Result.success(response);
    }
@@ -76,16 +70,14 @@ public class AiChatController {
    @GetMapping("/health")
    public Result<Boolean> healthCheck() {
        log.info("AI服务健康检查");
-
        boolean isHealthy = aiChatService.healthCheck();
        return Result.success(isHealthy);
    }

    @Operation(summary = "获取AI服务信息")
    @GetMapping("/info")
-    public Result<Object> getServiceInfo() {
+    public Result<String> getServiceInfo() {
        log.info("获取AI服务信息");
-
        return Result.success("Emotion Museum AI Service - Powered by Spring AI & Coze");
    }

@@ -1,6 +1,7 @@
 package com.emotionmuseum.ai.controller;

-import com.emotionmuseum.ai.dto.*;
+import com.emotionmuseum.ai.request.*;
+import com.emotionmuseum.ai.response.*;
 import com.emotionmuseum.ai.service.GuestChatService;
 import com.emotionmuseum.common.result.Result;
 import io.swagger.v3.oas.annotations.Operation;
@@ -0,0 +1,64 @@
+package com.emotionmuseum.ai.request;
+
+import com.emotionmuseum.common.request.BaseRequest;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import jakarta.validation.constraints.NotBlank;
+import jakarta.validation.constraints.Size;
+import java.util.List;
+
+/**
+ * AI聊天请求
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "AI聊天请求")
+public class AiChatRequest extends BaseRequest {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "用户ID", example = "user_123")
+    @NotBlank(message = "用户ID不能为空")
+    private String userId;
+
+    @Schema(description = "消息内容", example = "我今天感觉有点焦虑，不知道该怎么办")
+    @NotBlank(message = "消息内容不能为空")
+    @Size(max = 2000, message = "消息内容不能超过2000字符")
+    private String message;
+
+    @Schema(description = "对话ID（可选）", example = "conv_123456")
+    private String conversationId;
+
+    @Schema(description = "消息类型", example = "text")
+    private String type = "text";
+
+    @Schema(description = "聊天历史（可选）")
+    private List<ChatMessage> history;
+
+    @Schema(description = "是否需要情绪分析", example = "true")
+    private Boolean needEmotionAnalysis = true;
+
+    @Schema(description = "上下文信息")
+    private String context;
+
+    /**
+     * 聊天消息
+     */
+    @Data
+    @Schema(description = "聊天消息")
+    public static class ChatMessage {
+        @Schema(description = "角色", example = "user")
+        private String role; // user, assistant
+
+        @Schema(description = "消息内容")
+        private String content;
+
+        @Schema(description = "时间戳")
+        private Long timestamp;
+    }
+}
@@ -0,0 +1,38 @@
+package com.emotionmuseum.ai.request;
+
+import com.emotionmuseum.common.request.BasePageRequest;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+/**
+ * 会话列表请求
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "会话列表请求")
+public class ConversationListRequest extends BasePageRequest {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "用户ID", example = "user_123")
+    private String userId;
+
+    @Schema(description = "会话类型", example = "emotion_chat")
+    private String type;
+
+    @Schema(description = "会话状态", example = "active")
+    private String status;
+
+    @Schema(description = "用户类型", example = "guest")
+    private String userType;
+
+    @Schema(description = "开始时间", example = "2025-01-01 00:00:00")
+    private String startTime;
+
+    @Schema(description = "结束时间", example = "2025-12-31 23:59:59")
+    private String endTime;
+}
@@ -0,0 +1,38 @@
+package com.emotionmuseum.ai.request;
+
+import com.emotionmuseum.common.request.BaseRequest;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import jakarta.validation.constraints.NotBlank;
+
+/**
+ * 创建会话请求
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "创建会话请求")
+public class CreateConversationRequest extends BaseRequest {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "用户ID", example = "user_123")
+    @NotBlank(message = "用户ID不能为空")
+    private String userId;
+
+    @Schema(description = "会话标题", example = "今日心情分享")
+    private String title;
+
+    @Schema(description = "会话类型", example = "emotion_chat")
+    private String type = "emotion_chat";
+
+    @Schema(description = "初始消息", example = "你好，我想聊聊今天的心情")
+    private String initialMessage;
+
+    @Schema(description = "上下文信息")
+    private String context;
+}
@@ -0,0 +1,41 @@
+package com.emotionmuseum.ai.request;
+
+import com.emotionmuseum.common.request.BaseRequest;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import jakarta.validation.constraints.NotBlank;
+import jakarta.validation.constraints.Size;
+
+/**
+ * 情绪分析请求
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "情绪分析请求")
+public class EmotionAnalysisRequest extends BaseRequest {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "用户ID", example = "user_123")
+    @NotBlank(message = "用户ID不能为空")
+    private String userId;
+
+    @Schema(description = "待分析文本", example = "我今天感觉很沮丧，工作压力很大")
+    @NotBlank(message = "待分析文本不能为空")
+    @Size(max = 1000, message = "待分析文本不能超过1000字符")
+    private String text;
+
+    @Schema(description = "分析类型", example = "detailed")
+    private String analysisType = "detailed"; // simple, detailed
+
+    @Schema(description = "语言", example = "zh")
+    private String language = "zh";
+
+    @Schema(description = "上下文信息")
+    private String context;
+}
@@ -0,0 +1,43 @@
+package com.emotionmuseum.ai.request;
+
+import com.emotionmuseum.common.request.BaseRequest;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import jakarta.validation.constraints.NotBlank;
+import jakarta.validation.constraints.Size;
+
+/**
+ * 访客聊天请求
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "访客聊天请求")
+public class GuestChatRequest extends BaseRequest {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "消息内容", example = "你好，我想聊聊今天的心情")
+    @NotBlank(message = "消息内容不能为空")
+    @Size(max = 2000, message = "消息内容不能超过2000字符")
+    private String message;
+
+    @Schema(description = "会话ID（可选，如果不提供则创建新会话）", example = "conv_123456")
+    private String conversationId;
+
+    @Schema(description = "会话标题（创建新会话时使用）", example = "今日心情分享")
+    private String title;
+
+    @Schema(description = "消息类型", example = "text")
+    private String messageType = "text";
+
+    @Schema(description = "是否流式响应", example = "false")
+    private Boolean stream = false;
+
+    @Schema(description = "附加上下文信息")
+    private String context;
+}
@@ -0,0 +1,100 @@
+package com.emotionmuseum.ai.response;
+
+import com.emotionmuseum.common.response.BaseResponse;
+import com.fasterxml.jackson.annotation.JsonFormat;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * AI聊天响应
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "AI聊天响应")
+public class AiChatResponse extends BaseResponse {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "消息ID")
+    private String messageId;
+
+    @Schema(description = "对话ID")
+    private String conversationId;
+
+    @Schema(description = "AI回复内容")
+    private String content;
+
+    @Schema(description = "消息类型", example = "text")
+    private String type = "text";
+
+    @Schema(description = "发送者", example = "assistant")
+    private String sender = "assistant";
+
+    @Schema(description = "响应时间")
+    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
+    private LocalDateTime responseTime;
+
+    @Schema(description = "情绪分析结果")
+    private EmotionAnalysisResponse emotionAnalysis;
+
+    @Schema(description = "使用情况")
+    private Usage usage;
+
+    @Schema(description = "元数据")
+    private Map<String, Object> metadata;
+
+    @Schema(description = "是否为多条消息")
+    private Boolean multipleMessages = false;
+
+    @Schema(description = "消息数量")
+    private Integer messageCount = 1;
+
+    @Schema(description = "所有消息ID列表（当拆分为多条消息时）")
+    private List<String> messageIds;
+
+    /**
+     * 使用情况
+     */
+    @Data
+    @Schema(description = "使用情况")
+    public static class Usage {
+        @Schema(description = "输入Token数")
+        private Integer promptTokens;
+
+        @Schema(description = "输出Token数")
+        private Integer completionTokens;
+
+        @Schema(description = "总Token数")
+        private Integer totalTokens;
+    }
+
+    /**
+     * 情绪分析响应
+     */
+    @Data
+    @Schema(description = "情绪分析响应")
+    public static class EmotionAnalysisResponse {
+        @Schema(description = "情绪类型")
+        private String emotionType;
+
+        @Schema(description = "情绪强度")
+        private Double intensity;
+
+        @Schema(description = "情绪描述")
+        private String description;
+
+        @Schema(description = "建议")
+        private String suggestion;
+
+        @Schema(description = "置信度")
+        private Double confidence;
+    }
+}
@@ -0,0 +1,61 @@
+package com.emotionmuseum.ai.response;
+
+import com.emotionmuseum.common.response.BaseResponse;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.Builder;
+import lombok.NoArgsConstructor;
+import lombok.AllArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * 会话列表响应
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "会话列表响应")
+public class ConversationListResponse extends BaseResponse {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "会话ID")
+    private String conversationId;
+
+    @Schema(description = "会话标题")
+    private String title;
+
+    @Schema(description = "会话类型")
+    private String type;
+
+    @Schema(description = "会话状态")
+    private String status;
+
+    @Schema(description = "用户ID")
+    private String userId;
+
+    @Schema(description = "用户类型")
+    private String userType;
+
+    @Schema(description = "消息数量")
+    private Integer messageCount;
+
+    @Schema(description = "最后活跃时间")
+    private LocalDateTime lastActiveTime;
+
+    @Schema(description = "创建时间")
+    private LocalDateTime createTime;
+
+    @Schema(description = "主要情绪")
+    private String primaryEmotion;
+
+    @Schema(description = "情绪强度")
+    private Double emotionIntensity;
+
+    @Schema(description = "Coze会话ID")
+    private String cozeConversationId;
+}
@@ -0,0 +1,53 @@
+package com.emotionmuseum.ai.response;
+
+import com.emotionmuseum.common.response.BaseResponse;
+import com.fasterxml.jackson.annotation.JsonFormat;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import java.time.LocalDateTime;
+import java.util.Map;
+
+/**
+ * 创建会话响应
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "创建会话响应")
+public class CreateConversationResponse extends BaseResponse {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "会话ID")
+    private String conversationId;
+
+    @Schema(description = "用户ID")
+    private String userId;
+
+    @Schema(description = "会话标题")
+    private String title;
+
+    @Schema(description = "会话类型")
+    private String type;
+
+    @Schema(description = "会话状态", example = "active")
+    private String status = "active";
+
+    @Schema(description = "创建时间")
+    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
+    private LocalDateTime createTime;
+
+    @Schema(description = "更新时间")
+    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
+    private LocalDateTime updateTime;
+
+    @Schema(description = "Coze会话ID")
+    private String cozeConversationId;
+
+    @Schema(description = "元数据")
+    private Map<String, Object> metadata;
+}
@@ -0,0 +1,69 @@
+package com.emotionmuseum.ai.response;
+
+import com.emotionmuseum.common.response.BaseResponse;
+import com.fasterxml.jackson.annotation.JsonFormat;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 情绪分析响应
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "情绪分析响应")
+public class EmotionAnalysisResponse extends BaseResponse {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "主要情绪", example = "焦虑")
+    private String primaryEmotion;
+
+    @Schema(description = "情绪强度", example = "0.75")
+    private Double intensity;
+
+    @Schema(description = "情绪极性", example = "negative")
+    private String polarity; // positive, negative, neutral
+
+    @Schema(description = "置信度", example = "0.85")
+    private Double confidence;
+
+    @Schema(description = "情绪分布")
+    private List<EmotionScore> emotions;
+
+    @Schema(description = "关键词")
+    private List<String> keywords;
+
+    @Schema(description = "建议")
+    private String suggestion;
+
+    @Schema(description = "分析时间")
+    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
+    private LocalDateTime analysisTime;
+
+    @Schema(description = "额外信息")
+    private Map<String, Object> metadata;
+
+    /**
+     * 情绪得分
+     */
+    @Data
+    @Schema(description = "情绪得分")
+    public static class EmotionScore {
+        @Schema(description = "情绪名称")
+        private String emotion;
+
+        @Schema(description = "得分")
+        private Double score;
+
+        @Schema(description = "描述")
+        private String description;
+    }
+}
@@ -0,0 +1,111 @@
+package com.emotionmuseum.ai.response;
+
+import com.emotionmuseum.common.response.BaseResponse;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import lombok.Builder;
+import lombok.NoArgsConstructor;
+import lombok.AllArgsConstructor;
+
+import java.time.LocalDateTime;
+
+/**
+ * 访客聊天响应
+ *
+ * @author emotion-museum
+ * @since 2025-07-24
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+@Schema(description = "访客聊天响应")
+public class GuestChatResponse extends BaseResponse {
+
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "访客用户ID")
+    private String guestUserId;
+
+    @Schema(description = "访客昵称")
+    private String guestNickname;
+
+    @Schema(description = "会话ID")
+    private String conversationId;
+
+    @Schema(description = "会话标题")
+    private String conversationTitle;
+
+    @Schema(description = "用户消息ID")
+    private String userMessageId;
+
+    @Schema(description = "AI回复消息ID")
+    private String aiMessageId;
+
+    @Schema(description = "用户消息内容")
+    private String userMessage;
+
+    @Schema(description = "AI回复内容")
+    private String aiReply;
+
+    @Schema(description = "消息时间戳")
+    private LocalDateTime messageTimestamp;
+
+    @Schema(description = "会话状态")
+    private String conversationStatus;
+
+    @Schema(description = "是否为新会话")
+    private Boolean isNewConversation;
+
+    @Schema(description = "Coze聊天ID")
+    private String cozeChatId;
+
+    @Schema(description = "情绪分析结果")
+    private EmotionAnalysisResult emotionAnalysis;
+
+    @Schema(description = "Token使用情况")
+    private TokenUsage tokenUsage;
+
+    @Schema(description = "错误信息（如果有）")
+    private String errorMessage;
+
+    /**
+     * 情绪分析结果内部类
+     */
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "情绪分析结果")
+    public static class EmotionAnalysisResult {
+        @Schema(description = "主要情绪")
+        private String primaryEmotion;
+
+        @Schema(description = "情绪得分")
+        private Double emotionScore;
+
+        @Schema(description = "置信度")
+        private Double confidence;
+
+        @Schema(description = "情绪趋势")
+        private String emotionTrend;
+    }
+
+    /**
+     * Token使用情况内部类
+     */
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    @Schema(description = "Token使用情况")
+    public static class TokenUsage {
+        @Schema(description = "输入Token数")
+        private Integer promptTokens;
+
+        @Schema(description = "输出Token数")
+        private Integer completionTokens;
+
+        @Schema(description = "总Token数")
+        private Integer totalTokens;
+    }
+}