refactor: 重构AI服务架构为基于gRPC的实现

- 将AI服务从OpenAI API调用重构为gRPC服务架构
- 添加gRPC相关依赖和Protobuf编译插件
- 更新application.yml配置为gRPC客户端设置
- 移除旧的AIServiceImpl实现

Co-Authored-By: Claude <noreply@anthropic.com>

aioj-backend-ai-service/src/main/java/cn/meowrain/aioj/backend/aiservice/service/impl/AIServiceImpl.java

@@ -1,72 +0,0 @@
-package cn.meowrain.aioj.backend.aiservice.service.impl;
-
-import cn.meowrain.aioj.backend.aiservice.service.AIService;
-import dev.langchain4j.model.chat.ChatLanguageModel;
-import dev.langchain4j.model.openai.OpenAiChatModel;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import org.springframework.stereotype.Service;
-
-/**
- * AI 服务实现
- */
-@Slf4j
-@Service
-@RequiredArgsConstructor
-public class AIServiceImpl implements AIService {
-
-    private final ChatLanguageModel chatLanguageModel;
-
-    @Override
-    public String analyzeCode(String code, String language) {
-        String prompt = buildPrompt("代码分析", language, code,
-                "请分析以下代码的质量、潜在问题和改进建议。");
-        log.info("执行代码分析: language={}, codeLength={}", language, code.length());
-        return chatLanguageModel.generate(prompt);
-    }
-
-    @Override
-    public String optimizeCode(String code, String language) {
-        String prompt = buildPrompt("代码优化", language, code,
-                "请提供以下代码的优化建议，包括性能优化、代码风格改进等。");
-        log.info("执行代码优化: language={}, codeLength={}", language, code.length());
-        return chatLanguageModel.generate(prompt);
-    }
-
-    @Override
-    public String generateTestCases(String code, String language) {
-        String prompt = buildPrompt("测试用例生成", language, code,
-                "请为以下代码生成完整的测试用例，包括边界条件和异常情况。");
-        log.info("生成测试用例: language={}, codeLength={}", language, code.length());
-        return chatLanguageModel.generate(prompt);
-    }
-
-    @Override
-    public String explainCode(String code, String language) {
-        String prompt = buildPrompt("代码解释", language, code,
-                "请详细解释以下代码的功能、逻辑和实现方式。");
-        log.info("解释代码: language={}, codeLength={}", language, code.length());
-        return chatLanguageModel.generate(prompt);
-    }
-
-    /**
-     * 构建提示词
-     */
-    private String buildPrompt(String task, String language, String code, String instruction) {
-        return String.format("""
-                # 任务：%s
-
-                # 编程语言：%s
-
-                # 代码：
-                ```%s
-                %s
-                ```
-
-                # 要求：
-                %s
-
-                请提供详细、准确的分析结果。
-                """, task, language, language, code, instruction);
-    }
-}

aioj-backend-ai-service/src/main/resources/application.yml

@@ -39,14 +39,14 @@ jwt:
   access-expire: 900000           # 15分钟
   refresh-expire: 604800000       # 7天
 
-# AI 服务配置
-ai:
-  openai:
-    api-key: ${OPENAI_API_KEY:your-api-key}
-    base-url: ${OPENAI_BASE_URL:https://api.openai.com}
-    model: ${OPENAI_MODEL:gpt-4}
-    max-tokens: ${OPENAI_MAX_TOKENS:2000}
-    temperature: ${OPENAI_TEMPERATURE:0.7}
+# gRPC 客户端配置
+grpc:
+  client:
+    host: ${GRPC_SERVER_HOST:localhost}
+    port: ${GRPC_SERVER_PORT:50051}
+    timeout: ${GRPC_TIMEOUT:10}
+    tls-enabled: ${GRPC_TLS_ENABLED:false}
+    max-message-size: ${GRPC_MAX_MESSAGE_SIZE:10485760}
 
 aioj:
   log: