AskaEth
26a61cb57c
## 🐛 Bug 修复 - 修复前端对话无响应：消除 ChatContainer 中的双重 WebSocket 连接，优化 sendMessage 失败提示 - 修复 Memory-Service 数据库迁移失败：ai-core 和 memory-service 均添加 ALTER TABLE ADD COLUMN IF NOT EXISTS 模式演化 - 修复语音/STT 不可用：添加 MediaRecorder API 降级方案，修复 whisper-cli 输出文件名错误 - 修复仪表盘数据库按钮失效：补充按钮 ID 属性，重写 controlDB() 控制逻辑 ## 🎨 UI 修复 - 修正用户消息头像位置：从 flex-row-reverse 改为 justify-end - 移除空聊天列表的 emoji 占位图标 ## ✨ 新功能 - devtools 新增 STT 处理日志面板（环形缓冲区 + WebSocket 广播 + 可视化表格） - 新增 ADMIN_NICKNAME 环境变量，支持自定义管理员昵称 ## 🔧 改进 - 注册流程增加昵称必填字段（前后端同步） ## 🏗️ 架构重构 - 重构自主思考逻辑：从定时器轮询改为事件驱动（对话后触发 + 静默检测），优化提示词使其更自然人性化 - 实现主-子会话架构：新增 4 种子会话类型（general/memory/iot/knowledge），意图分析 → 并行分发 → 结果合成流程 ## 📄 新增文档 - docs/architecture/main-session-sub-session-design.md — 子会话架构设计文档
670 lines
18 KiB
Go
670 lines
18 KiB
Go
package main
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import (
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"context"
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"encoding/json"
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"fmt"
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"log"
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"net/http"
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"os"
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"os/signal"
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"strings"
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"syscall"
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"time"
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"github.com/joho/godotenv"
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"github.com/yourname/cyrene-ai/ai-core/internal/background"
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ctxbuild "github.com/yourname/cyrene-ai/ai-core/internal/context"
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"github.com/yourname/cyrene-ai/ai-core/internal/llm"
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"github.com/yourname/cyrene-ai/ai-core/internal/memory"
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"github.com/yourname/cyrene-ai/ai-core/internal/model"
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"github.com/yourname/cyrene-ai/ai-core/internal/orchestrator"
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"github.com/yourname/cyrene-ai/ai-core/internal/persona"
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"github.com/yourname/cyrene-ai/ai-core/internal/subsession"
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"github.com/yourname/cyrene-ai/ai-core/internal/tools"
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)
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var cfg Config
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func main() {
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// 自动加载 .env 文件（来自 backend/.env）
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if err := godotenv.Load("../.env"); err != nil {
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log.Println("ℹ 未找到 .env 文件，将使用环境变量或默认值")
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}
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log.SetFlags(log.LstdFlags | log.Lshortfile)
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log.Println("🧠 AI-Core 服务启动中...")
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// 加载配置
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cfg = loadConfig()
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// 初始化人格加载器
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personaDir := cfg.PersonaDir
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if personaDir == "" {
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personaDir = "./internal/persona"
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}
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personaLoader, err := persona.NewLoader(personaDir)
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if err != nil {
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log.Fatalf("加载人格配置失败: %v", err)
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}
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log.Printf("已加载 %d 个人格: %v", len(personaLoader.List()), personaLoader.List())
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// 初始化LLM适配器
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llmProvider := llm.NewOpenAIProvider(llm.OpenAIConfig{
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BaseURL: cfg.LLMBaseURL,
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APIKey: cfg.LLMAPIKey,
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Model: cfg.LLMModel,
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FallbackModel: cfg.LLMFallbackModel,
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Timeout: 120 * time.Second,
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})
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llmAdapter := llm.NewAdapter(llmProvider)
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log.Printf("LLM适配器已就绪: 模型=%s", llmAdapter.ModelName())
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// 初始化记忆系统
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var memStore *memory.Store
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var memRetriever *memory.Retriever
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var memExtractor *memory.Extractor
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if cfg.DatabaseURL != "" {
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memStore = memory.NewStore(cfg.DatabaseURL)
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defer memStore.Close()
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memRetriever = memory.NewRetriever(memStore, nil)
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// 记忆提取器使用LLM
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memExtractor = memory.NewExtractor(memStore, func(ctx context.Context, messages []model.LLMMessage) (*model.LLMResponse, error) {
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return llmAdapter.Chat(ctx, messages)
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})
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log.Println("记忆提取器已就绪")
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}
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// 初始化会话历史存储
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convStore := ctxbuild.NewConversationStore(50)
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log.Println("会话历史存储已就绪 (上限50条)")
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// 初始化上下文构建器
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ctxBuilder := ctxbuild.NewBuilder(convStore)
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// 初始化 IoT 客户端
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var iotClient *tools.IoTClient
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if cfg.IoTServiceURL != "" {
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iotClient = tools.NewIoTClient(cfg.IoTServiceURL)
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log.Printf("IoT 客户端已就绪: %s", cfg.IoTServiceURL)
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} else {
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log.Println("IoT 客户端未配置 (IOT_DEBUG_SERVICE_URL 为空)")
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}
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// 初始化工具注册中心
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toolRegistry := tools.NewRegistry()
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if getEnvBool("ENABLE_TOOLS", true) {
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toolRegistry.Register(tools.NewWebFetchTool())
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toolRegistry.Register(tools.NewWebSearchTool())
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toolRegistry.Register(tools.NewCalculatorTool())
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toolRegistry.Register(tools.NewDateTimeTool())
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toolRegistry.Register(tools.NewHTTPTool())
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toolRegistry.Register(tools.NewJSONTool())
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toolRegistry.Register(tools.NewTextTool())
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toolRegistry.Register(tools.NewRandomTool())
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toolRegistry.Register(tools.NewCryptoTool())
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toolRegistry.Register(tools.NewMarkdownTool())
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// File tool uses DATA_DIR or defaults to /tmp/cyrene_data
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dataDir := getEnv("DATA_DIR", "/tmp/cyrene_data")
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toolRegistry.Register(tools.NewFileTool(dataDir))
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if iotClient != nil {
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toolRegistry.Register(tools.NewIoTQueryTool(iotClient))
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toolRegistry.Register(tools.NewIoTControlTool(iotClient))
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}
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log.Printf("工具注册中心已就绪: %d 个工具 (%v)", len(toolRegistry.ListTools()), toolRegistry.ListTools())
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}
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// 初始化后台思考器（增强版：支持工具调用和记忆管理）
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thinkerCfg := background.DefaultThinkerConfig()
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adminUserID := "admin_admin"
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adminSessionID := "admin-session-main"
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// 创建记忆服务 HTTP 客户端（用于持久化思考日志到 memory-service）
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memServiceURL := getEnv("MEMORY_SERVICE_URL", "http://localhost:8091")
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memClient := memory.NewClient(memServiceURL)
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log.Printf("记忆服务客户端已就绪: %s", memServiceURL)
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thinker := background.NewThinker(
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thinkerCfg,
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personaLoader,
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memRetriever,
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llmAdapter,
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iotClient,
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memStore,
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memExtractor,
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toolRegistry,
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convStore,
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adminUserID,
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adminSessionID,
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memClient,
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)
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thinker.Start()
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defer thinker.Stop()
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// 健康检查与对话API的HTTP mux
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mux := http.NewServeMux()
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// 初始化子会话管理器
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subManager := subsession.NewManager(llmAdapter)
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// 注册子会话提供者
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subManager.Register(subsession.NewGeneralProvider(personaLoader))
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if memRetriever != nil {
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subManager.Register(subsession.NewMemoryProvider(memRetriever))
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}
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if iotClient != nil {
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subManager.Register(subsession.NewIoTProvider(iotClient))
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}
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log.Printf("子会话管理器已就绪: %d 个提供者 (%v)", len(subManager.ListProviders()), subManager.ListProviders())
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// 构建新的 Orchestrator (v2.0)
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orch := orchestrator.NewOrchestrator(
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personaLoader,
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ctxBuilder,
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llmAdapter,
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subManager,
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memRetriever,
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memExtractor,
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)
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log.Println("对话编排器 v2.0 已就绪")
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// 注册对话API端点
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mux.HandleFunc("/api/v1/chat", func(w http.ResponseWriter, r *http.Request) {
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handleChat(w, r, orch, ctxBuilder, llmAdapter, personaLoader, memRetriever, memExtractor, iotClient, thinker, toolRegistry)
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})
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// 注册记忆API端点
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mux.HandleFunc("/api/v1/memory/search", func(w http.ResponseWriter, r *http.Request) {
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handleMemorySearch(w, r, memRetriever)
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})
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mux.HandleFunc("/api/v1/memory", func(w http.ResponseWriter, r *http.Request) {
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handleMemoryCRUD(w, r, memStore, memExtractor)
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})
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mux.HandleFunc("/api/v1/health", func(w http.ResponseWriter, r *http.Request) {
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w.Header().Set("Content-Type", "application/json")
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w.Write([]byte(`{"status":"ok","service":"ai-core","model":"` + llmAdapter.ModelName() + `"}`))
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})
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// 启动HTTP服务
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srv := &http.Server{
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Addr: ":" + cfg.Port,
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Handler: mux,
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}
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go func() {
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log.Printf("🚀 AI-Core 服务已启动在端口 %s", cfg.Port)
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if err := srv.ListenAndServe(); err != nil && err != http.ErrServerClosed {
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log.Fatalf("服务启动失败: %v", err)
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}
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}()
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// 优雅关闭
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quit := make(chan os.Signal, 1)
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signal.Notify(quit, syscall.SIGINT, syscall.SIGTERM)
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<-quit
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log.Println("正在关闭 AI-Core 服务...")
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ctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)
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defer cancel()
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srv.Shutdown(ctx)
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log.Println("AI-Core 服务已关闭")
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}
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// Config AI-Core配置
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type Config struct {
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Port string
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PersonaDir string
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LLMBaseURL string
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LLMAPIKey string
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LLMModel string
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LLMFallbackModel string
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DatabaseURL string
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IoTServiceURL string
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AdminNickname string // 昔涟对管理员用户的基本称呼
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}
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func loadConfig() Config {
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return Config{
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Port: getEnv("AI_CORE_PORT", "8081"),
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PersonaDir: getEnv("PERSONA_DIR", "./internal/persona"),
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LLMBaseURL: getEnv("LLM_API_URL", "https://api.openai.com/v1"),
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LLMAPIKey: getEnv("LLM_API_KEY", ""),
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LLMModel: getEnv("LLM_MODEL", "gpt-4o"),
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LLMFallbackModel: getEnv("LLM_FALLBACK_MODEL", "gpt-4o-mini"),
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DatabaseURL: buildDatabaseURL(),
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IoTServiceURL: getEnv("IOT_DEBUG_SERVICE_URL", ""),
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AdminNickname: getEnv("ADMIN_NICKNAME", "管理员"),
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}
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}
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func buildDatabaseURL() string {
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host := getEnv("POSTGRES_HOST", "localhost")
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port := getEnv("POSTGRES_PORT", "5432")
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user := getEnv("POSTGRES_USER", "cyrene")
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password := getEnv("POSTGRES_PASSWORD", "change_me")
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dbname := getEnv("POSTGRES_DB", "cyrene_ai")
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sslmode := getEnv("POSTGRES_SSLMODE", "disable")
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return fmt.Sprintf("postgres://%s:%s@%s:%s/%s?sslmode=%s",
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user, password, host, port, dbname, sslmode)
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}
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func getEnv(key, fallback string) string {
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if v := os.Getenv(key); v != "" {
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return v
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}
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return fallback
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}
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func getEnvBool(key string, fallback bool) bool {
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v := os.Getenv(key)
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if v == "" {
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return fallback
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}
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switch strings.ToLower(v) {
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case "true", "1", "yes", "on":
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return true
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case "false", "0", "no", "off":
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return false
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default:
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return fallback
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}
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}
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// buildOpenAITools 将工具注册中心的定义转换为 LLM 层的 OpenAITool 格式
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func buildOpenAITools(registry *tools.Registry) []llm.OpenAITool {
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if registry == nil || !registry.IsEnabled() {
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return nil
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}
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defs := registry.GetDefinitions()
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if len(defs) == 0 {
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return nil
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}
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result := make([]llm.OpenAITool, 0, len(defs))
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for _, d := range defs {
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result = append(result, llm.OpenAITool{
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Type: "function",
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Function: llm.OpenAIToolFunc{
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Name: d.Name,
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Description: d.Description,
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Parameters: d.Parameters,
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},
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})
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}
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return result
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}
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// handleChat 处理对话请求（SSE 流式响应）— 使用新 Orchestrator v2.0
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func handleChat(
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w http.ResponseWriter,
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r *http.Request,
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orch *orchestrator.Orchestrator,
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ctxBuilder *ctxbuild.Builder,
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_ *llm.Adapter,
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_ *persona.Loader,
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_ *memory.Retriever,
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_ *memory.Extractor,
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iotClient *tools.IoTClient,
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thinker *background.Thinker,
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_ *tools.Registry,
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) {
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if r.Method != http.MethodPost {
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http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
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return
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}
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// 解析请求
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var req struct {
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UserID string `json:"user_id"`
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SessionID string `json:"session_id"`
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Message string `json:"message"`
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Mode string `json:"mode"`
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Nickname string `json:"nickname,omitempty"`
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}
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if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
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http.Error(w, "无效的请求体", http.StatusBadRequest)
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return
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}
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if req.Mode == "" {
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req.Mode = "text"
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}
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ctx := r.Context()
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// 0. 记录用户活动（重置闲置计时器）
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if thinker != nil {
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thinker.RecordUserMessage()
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}
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// 确定用户昵称
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userNickname := req.Nickname
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if userNickname == "" {
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userNickname = cfg.AdminNickname
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}
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// 0.1 缓存用户消息到会话历史
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ctxBuilder.CacheMessage(req.SessionID, model.RoleUser, req.Message)
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// 1. 设置 SSE 响应头
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w.Header().Set("Content-Type", "text/event-stream")
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w.Header().Set("Cache-Control", "no-cache")
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w.Header().Set("Connection", "keep-alive")
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w.Header().Set("X-Accel-Buffering", "no")
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flusher, ok := w.(http.Flusher)
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if !ok {
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http.Error(w, "Streaming not supported", http.StatusInternalServerError)
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return
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}
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// 2. 调用 Orchestrator 处理（替代原有的线性处理流程）
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// Orchestrator 内部处理：意图分析 → 子会话分派 → 结果汇总 → 综合生成回复
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eventCh, err := orch.ProcessInput(ctx, orchestrator.ProcessParams{
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UserID: req.UserID,
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SessionID: req.SessionID,
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Message: req.Message,
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Mode: req.Mode,
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Nickname: userNickname,
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})
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if err != nil {
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errData, _ := json.Marshal(map[string]string{"delta": "", "error": fmt.Sprintf("处理失败: %v", err)})
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fmt.Fprintf(w, "data: %s\n\n", errData)
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flusher.Flush()
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fmt.Fprintf(w, "data: [DONE]\n\n")
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flusher.Flush()
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return
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}
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messageID := fmt.Sprintf("msg-%d", time.Now().UnixNano())
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// 3. 流式输出 SSE
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var fullContent string
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for event := range eventCh {
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switch event.Type {
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case model.StreamError:
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log.Printf("[chat] 流式错误: %v", event.Error)
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errData, _ := json.Marshal(map[string]string{"delta": "", "error": event.Error.Error()})
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fmt.Fprintf(w, "data: %s\n\n", errData)
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flusher.Flush()
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fmt.Fprintf(w, "data: [DONE]\n\n")
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flusher.Flush()
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return
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case model.StreamDelta:
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fullContent += event.Delta
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deltaData, _ := json.Marshal(map[string]string{
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"delta": event.Delta,
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"message_id": messageID,
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})
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fmt.Fprintf(w, "data: %s\n\n", deltaData)
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flusher.Flush()
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case model.StreamSegments:
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// 发送断句信息
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segData, _ := json.Marshal(map[string]interface{}{
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"message_id": messageID,
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"mode": req.Mode,
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"segments": event.Segments,
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})
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fmt.Fprintf(w, "data: %s\n\n", segData)
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flusher.Flush()
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case model.StreamDone:
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// 下发结束标记
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endData, _ := json.Marshal(map[string]interface{}{
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"message_id": messageID,
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"mode": req.Mode,
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"done": true,
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})
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fmt.Fprintf(w, "data: %s\n\n", endData)
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flusher.Flush()
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fmt.Fprintf(w, "data: [DONE]\n\n")
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flusher.Flush()
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}
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}
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// 4. 对话完成后触发昔涟的自主思考（事件驱动，非定时）
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if thinker != nil {
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thinker.TriggerPostChatThink()
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}
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}
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// handleMemorySearch 处理记忆搜索请求
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func handleMemorySearch(
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w http.ResponseWriter,
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r *http.Request,
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||
memRetriever *memory.Retriever,
|
||
) {
|
||
if r.Method != http.MethodGet {
|
||
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
|
||
return
|
||
}
|
||
|
||
userID := r.URL.Query().Get("user_id")
|
||
if userID == "" {
|
||
http.Error(w, "缺少 user_id 参数", http.StatusBadRequest)
|
||
return
|
||
}
|
||
|
||
query := r.URL.Query().Get("q")
|
||
if query == "" {
|
||
http.Error(w, "缺少 q 参数", http.StatusBadRequest)
|
||
return
|
||
}
|
||
|
||
if memRetriever == nil {
|
||
log.Printf("[memory] 记忆检索器未初始化: 数据库不可用")
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"user_id": userID,
|
||
"query": query,
|
||
"memories": []interface{}{},
|
||
"error": "记忆系统未就绪",
|
||
"errorType": "memory_store_unavailable",
|
||
"hint": "PostgreSQL 数据库不可用，请检查数据库连接配置",
|
||
})
|
||
return
|
||
}
|
||
|
||
ctx := r.Context()
|
||
memories, err := memRetriever.Retrieve(ctx, userID, query)
|
||
if err != nil {
|
||
log.Printf("[memory] 检索失败: %v", err)
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"user_id": userID,
|
||
"query": query,
|
||
"memories": []interface{}{},
|
||
"error": fmt.Sprintf("检索失败: %v", err),
|
||
"errorType": "retrieve_failed",
|
||
})
|
||
return
|
||
}
|
||
|
||
if memories == nil {
|
||
memories = []memory.MemoryEntry{}
|
||
}
|
||
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"user_id": userID,
|
||
"query": query,
|
||
"memories": memories,
|
||
"total": len(memories),
|
||
})
|
||
}
|
||
|
||
// handleMemoryCRUD 处理记忆的 CRUD 操作
|
||
func handleMemoryCRUD(
|
||
w http.ResponseWriter,
|
||
r *http.Request,
|
||
memStore *memory.Store,
|
||
memExtractor *memory.Extractor,
|
||
) {
|
||
switch r.Method {
|
||
case http.MethodGet:
|
||
// 列出用户的所有记忆
|
||
userID := r.URL.Query().Get("user_id")
|
||
if userID == "" {
|
||
http.Error(w, "缺少 user_id 参数", http.StatusBadRequest)
|
||
return
|
||
}
|
||
|
||
if memStore == nil {
|
||
log.Printf("[memory] 记忆存储未初始化: 数据库不可用")
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"user_id": userID,
|
||
"memories": []interface{}{},
|
||
"error": "记忆系统未就绪",
|
||
"errorType": "memory_store_unavailable",
|
||
"hint": "PostgreSQL 数据库不可用，请检查数据库连接配置",
|
||
})
|
||
return
|
||
}
|
||
|
||
ctx := r.Context()
|
||
memories, err := memStore.Query(ctx, model.MemoryQuery{
|
||
UserID: userID,
|
||
Limit: 50,
|
||
})
|
||
if err != nil {
|
||
log.Printf("[memory] 查询失败: %v", err)
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"user_id": userID,
|
||
"memories": []interface{}{},
|
||
"error": fmt.Sprintf("查询失败: %v", err),
|
||
"errorType": "query_failed",
|
||
})
|
||
return
|
||
}
|
||
|
||
if memories == nil {
|
||
memories = []model.MemoryEntry{}
|
||
}
|
||
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"user_id": userID,
|
||
"memories": memories,
|
||
"total": len(memories),
|
||
})
|
||
|
||
case http.MethodDelete:
|
||
// 删除单条记忆: DELETE /api/v1/memory?id=xxx
|
||
memoryID := r.URL.Query().Get("id")
|
||
if memoryID == "" {
|
||
http.Error(w, "缺少 id 参数", http.StatusBadRequest)
|
||
return
|
||
}
|
||
|
||
if memStore == nil {
|
||
log.Printf("[memory] 记忆存储未初始化: 无法删除")
|
||
w.Header().Set("Content-Type", "application/json")
|
||
w.WriteHeader(http.StatusServiceUnavailable)
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"error": "记忆系统未就绪",
|
||
"errorType": "memory_store_unavailable",
|
||
"hint": "PostgreSQL 数据库不可用，请检查数据库连接配置",
|
||
})
|
||
return
|
||
}
|
||
|
||
ctx := r.Context()
|
||
if err := memStore.Delete(ctx, memoryID); err != nil {
|
||
log.Printf("[memory] 删除失败: %v", err)
|
||
w.Header().Set("Content-Type", "application/json")
|
||
w.WriteHeader(http.StatusInternalServerError)
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"error": fmt.Sprintf("删除失败: %v", err),
|
||
"errorType": "delete_failed",
|
||
})
|
||
return
|
||
}
|
||
|
||
w.Header().Set("Content-Type", "application/json")
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"status": "deleted",
|
||
"memory_id": memoryID,
|
||
})
|
||
|
||
case http.MethodPost:
|
||
// 手动添加记忆
|
||
var req struct {
|
||
UserID string `json:"user_id"`
|
||
Content string `json:"content"`
|
||
Category string `json:"category"`
|
||
Priority int `json:"priority"`
|
||
}
|
||
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
|
||
http.Error(w, "无效的请求体", http.StatusBadRequest)
|
||
return
|
||
}
|
||
|
||
if req.UserID == "" || req.Content == "" {
|
||
http.Error(w, "缺少 user_id 或 content", http.StatusBadRequest)
|
||
return
|
||
}
|
||
|
||
if req.Category == "" {
|
||
req.Category = "other"
|
||
}
|
||
if req.Priority <= 0 {
|
||
req.Priority = 1
|
||
}
|
||
|
||
if memStore == nil {
|
||
log.Printf("[memory] 记忆存储未初始化: 无法保存")
|
||
w.Header().Set("Content-Type", "application/json")
|
||
w.WriteHeader(http.StatusServiceUnavailable)
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"error": "记忆系统未就绪",
|
||
"errorType": "memory_store_unavailable",
|
||
"hint": "PostgreSQL 数据库不可用，请检查数据库连接配置",
|
||
})
|
||
return
|
||
}
|
||
|
||
entry := &model.MemoryEntry{
|
||
UserID: req.UserID,
|
||
Content: req.Content,
|
||
Category: model.MemoryCategory(req.Category),
|
||
Priority: model.MemoryPriority(req.Priority),
|
||
}
|
||
|
||
ctx := r.Context()
|
||
if err := memStore.Save(ctx, entry); err != nil {
|
||
log.Printf("[memory] 保存失败: %v", err)
|
||
w.Header().Set("Content-Type", "application/json")
|
||
w.WriteHeader(http.StatusInternalServerError)
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"error": fmt.Sprintf("保存失败: %v", err),
|
||
"errorType": "save_failed",
|
||
})
|
||
return
|
||
}
|
||
|
||
w.Header().Set("Content-Type", "application/json")
|
||
w.WriteHeader(http.StatusCreated)
|
||
json.NewEncoder(w).Encode(map[string]interface{}{
|
||
"status": "saved",
|
||
"memory": entry,
|
||
})
|
||
|
||
default:
|
||
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
|
||
}
|
||
|
||
}
|