Files
Cyrene/backend/ai-core/cmd/main.go
T
AskaEth cd83eec39e feat: Phase 6.6 知识库 RAG 增强 — 文档索引 + 语义检索 + KnowledgeProvider
- rag.Embedder: LLM API 文本向量化 (OpenAI-compatible)
- rag.KnowledgeStore: 文档分块 + 重叠窗口 + 余弦相似度搜索
- rag.Retriever: 高级知识检索 + 格式化摘要
- KnowledgeProvider: 子会话提供者,整合入编排管线
- knowledge_search / knowledge_ingest 工具
- EnrichmentData 管线全线支持 KnowledgeInfo

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-23 22:33:26 +08:00

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package main
import (
"context"
"encoding/json"
"fmt"
"log"
"net/http"
"os"
"os/signal"
"strings"
"syscall"
"time"
"github.com/joho/godotenv"
"github.com/yourname/cyrene-ai/ai-core/internal/background"
aiConfig "github.com/yourname/cyrene-ai/ai-core/internal/config"
ctxbuild "github.com/yourname/cyrene-ai/ai-core/internal/context"
"github.com/yourname/cyrene-ai/ai-core/internal/host"
"github.com/yourname/cyrene-ai/ai-core/internal/llm"
"github.com/yourname/cyrene-ai/ai-core/internal/memory"
"github.com/yourname/cyrene-ai/ai-core/internal/model"
"github.com/yourname/cyrene-ai/ai-core/internal/orchestrator"
"github.com/yourname/cyrene-ai/ai-core/internal/persona"
"github.com/yourname/cyrene-ai/ai-core/internal/rag"
"github.com/yourname/cyrene-ai/ai-core/internal/subsession"
"github.com/yourname/cyrene-ai/ai-core/internal/tools"
)
var cfg Config
func main() {
// 自动加载 .env 文件(来自 backend/.env
if err := godotenv.Load("../.env"); err != nil {
log.Println("ℹ 未找到 .env 文件,将使用环境变量或默认值")
}
log.SetFlags(log.LstdFlags | log.Lshortfile)
log.Println("🧠 AI-Core 服务启动中...")
// 加载配置
cfg = loadConfig()
// 初始化人格加载器
personaDir := cfg.PersonaDir
if personaDir == "" {
personaDir = "./internal/persona"
}
personaLoader, err := persona.NewLoader(personaDir)
if err != nil {
log.Fatalf("加载人格配置失败: %v", err)
}
log.Printf("已加载 %d 个人格: %v", len(personaLoader.List()), personaLoader.List())
// 初始化模型配置加载器 (Phase 6: 多模型配置)
configPath := getEnv("MODELS_CONFIG_PATH", "../models.json")
configLoader, err := aiConfig.NewLoader(configPath)
if err != nil {
log.Printf("⚠ 模型配置加载失败,回退到 .env: %v", err)
configLoader = nil
}
// 构建 .env 回退配置
envFallback := llm.OpenAIConfig{
BaseURL: cfg.LLMBaseURL,
APIKey: cfg.LLMAPIKey,
Model: cfg.LLMModel,
FallbackModel: cfg.LLMFallbackModel,
Timeout: 120 * time.Second,
}
// 创建 ModelSelector (优先使用 models.json,回退到 .env)
modelSelector := llm.NewModelSelector(configLoader, envFallback)
// 为不同用途创建独立的适配器,支持目的路由
// 在 .env 回退模式下,所有适配器共享同一 provider
chatAdapter := modelSelector.DefaultAdapter()
provider, _ := modelSelector.Select(context.Background(), llm.PurposeIntentAnalysis)
intentAdapter := llm.NewAdapter(provider)
provider, _ = modelSelector.Select(context.Background(), llm.PurposeDeepThinking)
thinkerAdapter := llm.NewAdapter(provider)
provider, _ = modelSelector.Select(context.Background(), llm.PurposeMemoryExtraction)
memoryAdapter := llm.NewAdapter(provider)
if configLoader != nil && configLoader.HasConfig() {
log.Printf("LLM适配器已就绪: models.json 驱动 (chat=%s, intent=%s, think=%s, memory=%s)",
chatAdapter.ModelName(), intentAdapter.ModelName(), thinkerAdapter.ModelName(), memoryAdapter.ModelName())
} else {
log.Printf("LLM适配器已就绪: .env 驱动 (模型=%s)", chatAdapter.ModelName())
}
// 初始化记忆系统
var memStore *memory.Store
var memRetriever *memory.Retriever
var memExtractor *memory.Extractor
if cfg.DatabaseURL != "" {
memStore = memory.NewStore(cfg.DatabaseURL)
defer memStore.Close()
memRetriever = memory.NewRetriever(memStore, nil)
// 记忆提取器使用 memory purpose 适配器
memExtractor = memory.NewExtractor(memStore, func(ctx context.Context, messages []model.LLMMessage) (*model.LLMResponse, error) {
return memoryAdapter.Chat(ctx, messages)
})
log.Println("记忆提取器已就绪")
}
// 初始化会话历史存储
convStore := ctxbuild.NewConversationStore(50)
log.Println("会话历史存储已就绪 (上限50条)")
// 初始化上下文构建器
ctxBuilder := ctxbuild.NewBuilder(convStore)
// 初始化 IoT 客户端
var iotClient *tools.IoTClient
if cfg.IoTServiceURL != "" {
iotClient = tools.NewIoTClient(cfg.IoTServiceURL)
log.Printf("IoT 客户端已就绪: %s", cfg.IoTServiceURL)
} else {
log.Println("IoT 客户端未配置 (IOT_SERVICE_URL 和 IOT_DEBUG_SERVICE_URL 均为空)")
}
// 初始化主机操控管理器 (Phase 6.2: 沙箱执行 + 文件系统隔离)
hostSandbox := host.NewSandbox(host.DefaultSandboxConfig())
hostManager := host.NewManager(hostSandbox)
dataDir := getEnv("DATA_DIR", "/tmp/cyrene_data")
hostManager.SetAllowedDirs([]string{dataDir, os.TempDir(), "."})
log.Printf("主机操控管理器已就绪: 沙箱执行 + 文件隔离 (数据目录=%s)", dataDir)
// 初始化 RAG 知识库 (Phase 6.6: 知识库 RAG 增强)
knowledgeDir := getEnv("KNOWLEDGE_DIR", "./data/knowledge")
ragEmbedder := rag.NewEmbedder(cfg.LLMBaseURL, cfg.LLMAPIKey, "text-embedding-3-small")
knowledgeStore := rag.NewKnowledgeStore(ragEmbedder, knowledgeDir)
knowledgeRetriever := rag.NewRetriever(knowledgeStore)
log.Printf("RAG 知识库已就绪: 目录=%s, 嵌入模型=text-embedding-3-small", knowledgeDir)
// 初始化工具注册中心
toolRegistry := tools.NewRegistry()
if getEnvBool("ENABLE_TOOLS", true) {
toolRegistry.Register(tools.NewWebFetchTool())
toolRegistry.Register(tools.NewWebSearchTool())
toolRegistry.Register(tools.NewCalculatorTool())
toolRegistry.Register(tools.NewDateTimeTool())
toolRegistry.Register(tools.NewHTTPTool())
toolRegistry.Register(tools.NewJSONTool())
toolRegistry.Register(tools.NewTextTool())
toolRegistry.Register(tools.NewRandomTool())
toolRegistry.Register(tools.NewCryptoTool())
toolRegistry.Register(tools.NewMarkdownTool())
// File tool uses DATA_DIR or defaults to /tmp/cyrene_data
toolRegistry.Register(tools.NewFileTool(dataDir))
if iotClient != nil {
toolRegistry.Register(tools.NewIoTQueryTool(iotClient))
toolRegistry.Register(tools.NewIoTControlTool(iotClient))
}
// Phase 6.2: 主机操控工具
if hostManager != nil {
toolRegistry.Register(tools.NewHostExecTool(hostManager))
toolRegistry.Register(tools.NewHostFileTool(hostManager))
toolRegistry.Register(tools.NewHostSystemTool(hostManager))
}
// Phase 6.3: 视觉理解工具
toolRegistry.Register(tools.NewVisionTool())
// Phase 6.6: 知识库 RAG 工具
if knowledgeRetriever != nil {
toolRegistry.Register(tools.NewKnowledgeSearchTool(knowledgeRetriever))
toolRegistry.Register(tools.NewKnowledgeIngestTool(knowledgeStore))
}
log.Printf("工具注册中心已就绪: %d 个工具 (%v)", len(toolRegistry.ListTools()), toolRegistry.ListTools())
}
// 初始化后台思考器(增强版:支持工具调用和记忆管理)
thinkerCfg := background.DefaultThinkerConfig()
adminUserID := "admin"
adminSessionID := "admin-session-main"
// 创建记忆服务 HTTP 客户端(用于持久化思考日志到 memory-service
memServiceURL := getEnv("MEMORY_SERVICE_URL", "http://localhost:8091")
memClient := memory.NewClient(memServiceURL)
log.Printf("记忆服务客户端已就绪: %s", memServiceURL)
thinker := background.NewThinker(
thinkerCfg,
personaLoader,
memRetriever,
thinkerAdapter,
iotClient,
memStore,
toolRegistry,
convStore,
adminUserID,
adminSessionID,
memClient,
)
thinker.Start()
defer thinker.Stop()
// 设置主动消息推送回调(调用 Gateway 内部 API
gatewayURL := getEnv("GATEWAY_URL", "http://localhost:8080")
internalToken := os.Getenv("INTERNAL_SERVICE_TOKEN")
if internalToken != "" {
proactiveClient := &http.Client{Timeout: 5 * time.Second}
thinker.SetMessagePusher(func(userID, sessionID, message string) {
reqBody, _ := json.Marshal(map[string]string{
"user_id": userID,
"session_id": sessionID,
"content": message,
})
req, _ := http.NewRequest("POST", gatewayURL+"/api/v1/internal/proactive-message", strings.NewReader(string(reqBody)))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("X-Internal-Token", internalToken)
resp, err := proactiveClient.Do(req)
if err != nil {
log.Printf("[主动消息] 推送失败: %v", err)
return
}
resp.Body.Close()
if resp.StatusCode == http.StatusOK {
log.Printf("[主动消息] 已推送到 Gateway: user=%s, len=%d", userID, len(message))
} else {
log.Printf("[主动消息] Gateway 返回 %d", resp.StatusCode)
}
})
log.Printf("[主动消息] 推送已启用 (Gateway=%s)", gatewayURL)
} else {
log.Println("[主动消息] 未配置 INTERNAL_SERVICE_TOKEN,主动消息推送已禁用")
}
// 健康检查与对话API的HTTP mux
mux := http.NewServeMux()
// 初始化子会话管理器
subManager := subsession.NewManager(chatAdapter)
// 注册子会话提供者
subManager.Register(subsession.NewGeneralProvider(personaLoader))
if memRetriever != nil {
subManager.Register(subsession.NewMemoryProvider(memRetriever))
}
if iotClient != nil {
subManager.Register(subsession.NewIoTProvider(iotClient, personaDir))
}
subManager.Register(subsession.NewReviewProvider())
if knowledgeRetriever != nil {
subManager.Register(subsession.NewKnowledgeProvider(knowledgeRetriever))
}
log.Printf("子会话管理器已就绪: %d 个提供者 (%v)", len(subManager.ListProviders()), subManager.ListProviders())
// 构建新的 Orchestrator (v2.0) — 传入 purpose 专用适配器
orch := orchestrator.NewOrchestrator(
personaLoader,
ctxBuilder,
chatAdapter,
intentAdapter,
subManager,
memRetriever,
memExtractor,
)
log.Println("对话编排器 v2.0 已就绪")
_ = orch
// 注册对话API端点
mux.HandleFunc("/api/v1/chat", func(w http.ResponseWriter, r *http.Request) {
handleChat(w, r, orch, ctxBuilder, personaLoader, memRetriever, memExtractor, iotClient, thinker, toolRegistry)
})
// 注册记忆API端点
mux.HandleFunc("/api/v1/memory/search", func(w http.ResponseWriter, r *http.Request) {
handleMemorySearch(w, r, memRetriever)
})
mux.HandleFunc("/api/v1/memory", func(w http.ResponseWriter, r *http.Request) {
handleMemoryCRUD(w, r, memStore, memExtractor)
})
// Phase 2: 在线状态通知端点 (Gateway -> ai-core)
mux.HandleFunc("/api/v1/internal/presence", func(w http.ResponseWriter, r *http.Request) {
if r.Method != http.MethodPost {
w.WriteHeader(http.StatusMethodNotAllowed)
return
}
if r.Header.Get("X-Internal-Token") != os.Getenv("INTERNAL_SERVICE_TOKEN") {
w.WriteHeader(http.StatusUnauthorized)
return
}
var req struct {
UserID string `json:"user_id"`
Status string `json:"status"`
SessionID string `json:"session_id"`
}
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
w.WriteHeader(http.StatusBadRequest)
return
}
online := req.Status == "online"
thinker.UpdatePresence(online, req.SessionID)
w.Header().Set("Content-Type", "application/json")
w.Write([]byte(`{"status":"ok"}`))
})
mux.HandleFunc("/api/v1/health", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
w.Write([]byte(`{"status":"ok","service":"ai-core","model":"` + chatAdapter.ModelName() + `"}`))
})
// 启动HTTP服务
srv := &http.Server{
Addr: ":" + cfg.Port,
Handler: mux,
}
go func() {
log.Printf("🚀 AI-Core 服务已启动在端口 %s", cfg.Port)
if err := srv.ListenAndServe(); err != nil && err != http.ErrServerClosed {
log.Fatalf("服务启动失败: %v", err)
}
}()
// 优雅关闭
quit := make(chan os.Signal, 1)
signal.Notify(quit, syscall.SIGINT, syscall.SIGTERM)
<-quit
log.Println("正在关闭 AI-Core 服务...")
ctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)
defer cancel()
srv.Shutdown(ctx)
log.Println("AI-Core 服务已关闭")
}
// Config AI-Core配置
type Config struct {
Port string
PersonaDir string
LLMBaseURL string
LLMAPIKey string
LLMModel string
LLMFallbackModel string
DatabaseURL string
IoTServiceURL string
AdminNickname string // 昔涟对管理员用户的基本称呼
}
func loadConfig() Config {
return Config{
Port: getEnv("AI_CORE_PORT", "8081"),
PersonaDir: getEnv("PERSONA_DIR", "./internal/persona"),
LLMBaseURL: getEnv("LLM_API_URL", "https://api.openai.com/v1"),
LLMAPIKey: getEnv("LLM_API_KEY", ""),
LLMModel: getEnv("LLM_MODEL", "gpt-4o"),
LLMFallbackModel: getEnv("LLM_FALLBACK_MODEL", "gpt-4o-mini"),
DatabaseURL: buildDatabaseURL(),
IoTServiceURL: getEnvWithFallback("IOT_SERVICE_URL", "IOT_DEBUG_SERVICE_URL", ""),
AdminNickname: getEnv("ADMIN_NICKNAME", "管理员"),
}
}
func buildDatabaseURL() string {
host := getEnv("POSTGRES_HOST", "localhost")
port := getEnv("POSTGRES_PORT", "5432")
user := getEnv("POSTGRES_USER", "cyrene")
password := getEnv("POSTGRES_PASSWORD", "cyrene_pass")
dbname := getEnv("POSTGRES_DB", "cyrene_ai")
sslmode := getEnv("POSTGRES_SSLMODE", "disable")
return fmt.Sprintf("postgres://%s:%s@%s:%s/%s?sslmode=%s",
user, password, host, port, dbname, sslmode)
}
func getEnv(key, fallback string) string {
if v := os.Getenv(key); v != "" {
return v
}
return fallback
}
// getEnvWithFallback 获取环境变量,优先使用 primaryKey,如果为空则回退到 fallbackKey
func getEnvWithFallback(primaryKey, fallbackKey, defaultVal string) string {
if v := os.Getenv(primaryKey); v != "" {
return v
}
if v := os.Getenv(fallbackKey); v != "" {
return v
}
return defaultVal
}
func getEnvBool(key string, fallback bool) bool {
v := os.Getenv(key)
if v == "" {
return fallback
}
switch strings.ToLower(v) {
case "true", "1", "yes", "on":
return true
case "false", "0", "no", "off":
return false
default:
return fallback
}
}
// buildOpenAITools 将工具注册中心的定义转换为 LLM 层的 OpenAITool 格式
func buildOpenAITools(registry *tools.Registry) []llm.OpenAITool {
if registry == nil || !registry.IsEnabled() {
return nil
}
defs := registry.GetDefinitions()
if len(defs) == 0 {
return nil
}
result := make([]llm.OpenAITool, 0, len(defs))
for _, d := range defs {
result = append(result, llm.OpenAITool{
Type: "function",
Function: llm.OpenAIToolFunc{
Name: d.Name,
Description: d.Description,
Parameters: d.Parameters,
},
})
}
return result
}
// handleChat 处理对话请求(SSE 流式响应)— 使用新 Orchestrator v2.0
func handleChat(
w http.ResponseWriter,
r *http.Request,
orch *orchestrator.Orchestrator,
ctxBuilder *ctxbuild.Builder,
_ *persona.Loader,
_ *memory.Retriever,
_ *memory.Extractor,
iotClient *tools.IoTClient,
thinker *background.Thinker,
_ *tools.Registry,
) {
if r.Method != http.MethodPost {
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
return
}
// 解析请求
var req struct {
UserID string `json:"user_id"`
SessionID string `json:"session_id"`
Message string `json:"message"`
Images []string `json:"images,omitempty"` // 图片 base64 data URL
Mode string `json:"mode"`
Nickname string `json:"nickname,omitempty"`
}
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
http.Error(w, "无效的请求体", http.StatusBadRequest)
return
}
if req.Mode == "" {
req.Mode = "text"
}
ctx := r.Context()
// 0. 记录用户活动(重置闲置计时器)
if thinker != nil {
thinker.RecordUserMessage(req.SessionID)
}
// 确定用户昵称
userNickname := req.Nickname
if userNickname == "" {
userNickname = cfg.AdminNickname
}
// 0.1 缓存用户消息到会话历史
ctxBuilder.CacheMessage(req.SessionID, model.RoleUser, req.Message)
// 1. 设置 SSE 响应头
w.Header().Set("Content-Type", "text/event-stream")
w.Header().Set("Cache-Control", "no-cache")
w.Header().Set("Connection", "keep-alive")
w.Header().Set("X-Accel-Buffering", "no")
flusher, ok := w.(http.Flusher)
if !ok {
http.Error(w, "Streaming not supported", http.StatusInternalServerError)
return
}
// 2. 调用 Orchestrator 处理(替代原有的线性处理流程)
// Orchestrator 内部处理:意图分析 → 子会话分派 → 结果汇总 → 综合生成回复
eventCh, err := orch.ProcessInput(ctx, orchestrator.ProcessParams{
UserID: req.UserID,
SessionID: req.SessionID,
Message: req.Message,
Images: req.Images,
Mode: req.Mode,
Nickname: userNickname,
})
if err != nil {
errData, _ := json.Marshal(map[string]string{"delta": "", "error": fmt.Sprintf("处理失败: %v", err)})
fmt.Fprintf(w, "data: %s\n\n", errData)
flusher.Flush()
fmt.Fprintf(w, "data: [DONE]\n\n")
flusher.Flush()
return
}
messageID := fmt.Sprintf("msg-%d", time.Now().UnixNano())
// 3. 流式输出 SSE
var fullContent string
for event := range eventCh {
switch event.Type {
case model.StreamError:
log.Printf("[chat] 流式错误: %v", event.Error)
errData, _ := json.Marshal(map[string]string{"delta": "", "error": event.Error.Error()})
fmt.Fprintf(w, "data: %s\n\n", errData)
flusher.Flush()
fmt.Fprintf(w, "data: [DONE]\n\n")
flusher.Flush()
return
case model.StreamDelta:
fullContent += event.Delta
deltaData, _ := json.Marshal(map[string]string{
"delta": event.Delta,
"message_id": messageID,
})
fmt.Fprintf(w, "data: %s\n\n", deltaData)
flusher.Flush()
case model.StreamSegments:
// 发送断句信息
segData, _ := json.Marshal(map[string]interface{}{
"message_id": messageID,
"mode": req.Mode,
"segments": event.Segments,
})
fmt.Fprintf(w, "data: %s\n\n", segData)
flusher.Flush()
case model.StreamReview:
// 发送审查后的结构化消息(动作消息 + 聊天消息)
reviewData, _ := json.Marshal(map[string]interface{}{
"message_id": messageID,
"review_messages": event.ReviewMessages,
})
fmt.Fprintf(w, "data: %s\n\n", reviewData)
flusher.Flush()
case model.StreamDone:
// 下发结束标记
endData, _ := json.Marshal(map[string]interface{}{
"message_id": messageID,
"mode": req.Mode,
"done": true,
})
fmt.Fprintf(w, "data: %s\n\n", endData)
flusher.Flush()
fmt.Fprintf(w, "data: [DONE]\n\n")
flusher.Flush()
}
}
// 4. 对话完成后触发昔涟的自主思考(事件驱动,非定时)
if thinker != nil {
thinker.TriggerPostChatThink()
}
}
// handleMemorySearch 处理记忆搜索请求
func handleMemorySearch(
w http.ResponseWriter,
r *http.Request,
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)
}
}