Files
smartmate/backend/cmd/start.go
LoveLosita 736ba0cff3 Version: 0.9.46.dev.260427
后端:
1. taskclass 执行闭环继续收紧——Plan / Execute 全面切到“最小工具闭环”视角,明确学习目标/总节数/禁排时段/排除星期默认停留 taskclass 域;未给日期范围时禁止擅自补 start_date/end_date,upsert_task_class 重试前先做写前检查并区分“内部表示修正”与“必须追问用户”的关键时间事实
2. QuickTask / TaskQuery 轻量链路继续收敛——新增 model/taskquery_contract.go 统一查询协议,QuickTaskDeps / start.go 改用 model 层参数;删除 query_tasks / quick_note_create 旧工具实现,避免任务查询与随口记再回流 execute 工具链
3. schedule 微调工具继续瘦身——下线 spread_even / min_context_switch 及其复合规划逻辑,清理 analyze_load / analyze_subjects / analyze_context / analyze_tolerance 等历史能力;execute 顺序策略收敛为局部 move / swap,提示词与工具目录仅暴露当前真实可用工具
4. 执行与时间线体验补齐——execute 为流式 speak 补发归一化尾部,避免 deliver 文案黏连;前端时间线新增 interrupt / status 协议识别、工具事件归并与状态过滤,减少 ToolTrace 重复和会话重建误判
前端:
5. AssistantPanel 适配新版 timeline extra 事件——schedule_agent.ts 补齐 interrupt / status kind,工具调用与结果按摘要/参数/工具名合并,恢复历史时不再把协议事件误判成用户消息
2026-04-27 12:20:17 +08:00

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package cmd
import (
"context"
"fmt"
"log"
"os"
"strings"
"time"
"github.com/LoveLosita/smartflow/backend/api"
"github.com/LoveLosita/smartflow/backend/dao"
kafkabus "github.com/LoveLosita/smartflow/backend/infra/kafka"
infrallm "github.com/LoveLosita/smartflow/backend/infra/llm"
outboxinfra "github.com/LoveLosita/smartflow/backend/infra/outbox"
infrarag "github.com/LoveLosita/smartflow/backend/infra/rag"
ragconfig "github.com/LoveLosita/smartflow/backend/infra/rag/config"
"github.com/LoveLosita/smartflow/backend/inits"
"github.com/LoveLosita/smartflow/backend/memory"
memoryobserve "github.com/LoveLosita/smartflow/backend/memory/observe"
"github.com/LoveLosita/smartflow/backend/middleware"
"github.com/LoveLosita/smartflow/backend/model"
newagentconv "github.com/LoveLosita/smartflow/backend/newAgent/conv"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
"github.com/LoveLosita/smartflow/backend/newAgent/tools/web"
"github.com/LoveLosita/smartflow/backend/pkg"
"github.com/LoveLosita/smartflow/backend/routers"
"github.com/LoveLosita/smartflow/backend/service"
eventsvc "github.com/LoveLosita/smartflow/backend/service/events"
"github.com/spf13/viper"
)
// loadConfig 加载应用配置。
func loadConfig() error {
viper.SetConfigName("config")
viper.SetConfigType("yaml")
viper.AddConfigPath(".")
if err := viper.ReadInConfig(); err != nil {
return fmt.Errorf("failed to read config file: %w", err)
}
log.Println("Config loaded successfully")
return nil
}
// Start 是应用启动入口。
func Start() {
if err := loadConfig(); err != nil {
log.Fatalf("Failed to load config: %v", err)
}
db, err := inits.ConnectDB()
if err != nil {
log.Fatalf("Failed to connect to database: %v", err)
}
rdb := inits.InitRedis()
limiter := pkg.NewRateLimiter(rdb)
aiHub, err := inits.InitEino()
if err != nil {
log.Fatalf("Failed to initialize Eino: %v", err)
}
ragCfg := ragconfig.LoadFromViper()
var ragRuntime infrarag.Runtime
if ragCfg.Enabled {
// 1. 当前项目尚未完成全局观测平台建设,这里先注入一层轻量 Observer
// 2. RAG 内部只依赖 Observer 接口,后续若全项目统一日志/指标系统,只需替换这里;
// 3. 这样可以避免 RAG 单独自建一套割裂的日志基础设施。
ragLogger := log.Default()
ragRuntime, err = infrarag.NewRuntimeFromConfig(context.Background(), ragCfg, infrarag.FactoryDeps{
Logger: ragLogger,
Observer: infrarag.NewLoggerObserver(ragLogger),
})
if err != nil {
log.Fatalf("Failed to initialize RAG runtime: %v", err)
}
log.Printf("RAG runtime initialized: store=%s embed=%s reranker=%s", ragCfg.Store, ragCfg.EmbedProvider, ragCfg.RerankerProvider)
} else {
log.Println("RAG runtime is disabled")
}
// 1. memory 模块对启动层只暴露一个门面。
// 2. 后续若接入统一 DI 容器,也优先注入这个门面,而不是继续暴露内部 repo/service。
memoryCfg := memory.LoadConfigFromViper()
memoryObserver := memoryobserve.NewLoggerObserver(log.Default())
memoryMetrics := memoryobserve.NewMetricsRegistry()
memoryModule := memory.NewModuleWithObserve(
db,
infrallm.WrapArkClient(aiHub.Pro),
ragRuntime,
memoryCfg,
memory.ObserveDeps{
Observer: memoryObserver,
Metrics: memoryMetrics,
},
)
// DAO 层初始化。
cacheRepo := dao.NewCacheDAO(rdb)
agentCacheRepo := dao.NewAgentCache(rdb)
_ = db.Use(middleware.NewGormCachePlugin(cacheRepo))
userRepo := dao.NewUserDAO(db)
taskRepo := dao.NewTaskDAO(db)
courseRepo := dao.NewCourseDAO(db)
taskClassRepo := dao.NewTaskClassDAO(db)
scheduleRepo := dao.NewScheduleDAO(db)
manager := dao.NewManager(db)
agentRepo := dao.NewAgentDAO(db)
outboxRepo := outboxinfra.NewRepository(db)
// outbox 通用事件总线接线(第二阶段):
// 1. 读取 Kafka 配置;
// 2. 创建 infra 级 EventBus
// 3. 显式注册业务事件处理器;
// 4. 启动总线后台 dispatch/consume 循环。
kafkaCfg := kafkabus.LoadConfig()
eventBus, err := outboxinfra.NewEventBus(outboxRepo, kafkaCfg)
if err != nil {
log.Fatalf("Failed to initialize outbox event bus: %v", err)
}
if eventBus != nil {
// 1. 在启动前完成业务事件处理器注册。
// 2. memory 事件处理器也统一通过 memoryModule 接入,避免启动层感知内部细节。
if err = eventsvc.RegisterChatHistoryPersistHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register chat history event handler: %v", err)
}
if err = eventsvc.RegisterTaskUrgencyPromoteHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register task urgency promote event handler: %v", err)
}
if err = eventsvc.RegisterChatTokenUsageAdjustHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register chat token usage adjust event handler: %v", err)
}
if err = eventsvc.RegisterAgentStateSnapshotHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register agent state snapshot event handler: %v", err)
}
if err = eventsvc.RegisterMemoryExtractRequestedHandler(eventBus, outboxRepo, memoryModule); err != nil {
log.Fatalf("Failed to register memory extract event handler: %v", err)
}
eventBus.Start(context.Background())
defer eventBus.Close()
log.Println("Outbox event bus started")
} else {
log.Println("Outbox event bus is disabled")
}
memoryModule.StartWorker(context.Background())
// Service 层初始化。
userService := service.NewUserService(userRepo, cacheRepo)
taskSv := service.NewTaskService(taskRepo, cacheRepo, eventBus)
courseImageResponsesClient := infrallm.NewArkResponsesClient(
os.Getenv("ARK_API_KEY"),
viper.GetString("agent.baseURL"),
viper.GetString("courseImport.visionModel"),
)
courseService := service.NewCourseService(
courseRepo,
scheduleRepo,
courseImageResponsesClient,
service.NewCourseImageParseConfig(
viper.GetInt64("courseImport.maxImageBytes"),
viper.GetInt("courseImport.maxTokens"),
),
viper.GetString("courseImport.visionModel"),
)
taskClassService := service.NewTaskClassService(taskClassRepo, cacheRepo, scheduleRepo, manager)
scheduleService := service.NewScheduleService(scheduleRepo, userRepo, taskClassRepo, manager, cacheRepo)
agentService := service.NewAgentServiceWithSchedule(aiHub, agentRepo, taskRepo, cacheRepo, agentCacheRepo, eventBus, scheduleService, taskSv)
// newAgent 依赖接线。
agentService.SetAgentStateStore(dao.NewAgentStateStoreAdapter(cacheRepo))
// 1. WebSearch provider 初始化:根据配置选择 mock/bocha
// 2. provider 为 nil 时web_search / web_fetch 返回"暂未启用",不阻断主流程。
var webSearchProvider web.SearchProvider
webProvider := viper.GetString("websearch.provider")
switch webProvider {
case "bocha":
bochaKey := viper.GetString("websearch.apiKey")
if bochaKey == "" {
log.Println("WebSearch: 博查 API Key 为空,降级为 mock")
webSearchProvider = &web.MockProvider{}
} else {
webSearchProvider = web.NewBochaProvider(bochaKey, "")
log.Println("WebSearch provider: bocha")
}
case "mock", "":
webSearchProvider = &web.MockProvider{}
log.Println("WebSearch provider: mock模拟模式")
default:
// 未识别的 provider 类型降级为 mock 并输出警告。
log.Printf("WebSearch provider %q 未识别,降级为 mock", webProvider)
webSearchProvider = &web.MockProvider{}
}
agentService.SetToolRegistry(newagenttools.NewDefaultRegistryWithDeps(newagenttools.DefaultRegistryDeps{
RAGRuntime: ragRuntime,
WebSearchProvider: webSearchProvider,
TaskClassWriteDeps: newagenttools.TaskClassWriteDeps{
UpsertTaskClass: func(userID int, input newagenttools.TaskClassUpsertInput) (newagenttools.TaskClassUpsertPersistResult, error) {
req := input.Request
taskClassID := 0
created := input.ID == 0
err := taskClassRepo.Transaction(func(txDAO *dao.TaskClassDAO) error {
// 1. 先构造任务类主体,保持与现有 AddOrUpdateTaskClass 口径一致。
taskClass := &model.TaskClass{
ID: input.ID,
Name: &req.Name,
Mode: &req.Mode,
SubjectType: stringPtrOrNil(req.SubjectType),
DifficultyLevel: stringPtrOrNil(req.DifficultyLevel),
CognitiveIntensity: stringPtrOrNil(req.CognitiveIntensity),
TotalSlots: &req.Config.TotalSlots,
Strategy: &req.Config.Strategy,
ExcludedSlots: req.Config.ExcludedSlots,
ExcludedDaysOfWeek: req.Config.ExcludedDaysOfWeek,
}
taskClass.AllowFillerCourse = &req.Config.AllowFillerCourse
// 2. 自动模式下写入日期范围;手动模式允许为空。
if req.StartDate != "" {
startDate, parseErr := time.ParseInLocation("2006-01-02", req.StartDate, time.Local)
if parseErr != nil {
return parseErr
}
taskClass.StartDate = &startDate
}
if req.EndDate != "" {
endDate, parseErr := time.ParseInLocation("2006-01-02", req.EndDate, time.Local)
if parseErr != nil {
return parseErr
}
taskClass.EndDate = &endDate
}
// 3. upsert 主体后拿到稳定 task_class_id供 items 绑定 category_id。
updatedID, upsertErr := txDAO.AddOrUpdateTaskClass(userID, taskClass)
if upsertErr != nil {
return upsertErr
}
taskClassID = updatedID
// 4. 构造任务块并批量 upsert。
items := make([]model.TaskClassItem, 0, len(req.Items))
for _, itemReq := range req.Items {
categoryID := taskClassID
order := itemReq.Order
content := itemReq.Content
status := model.TaskItemStatusUnscheduled
items = append(items, model.TaskClassItem{
ID: itemReq.ID,
CategoryID: &categoryID,
Order: &order,
Content: &content,
EmbeddedTime: itemReq.EmbeddedTime,
Status: &status,
})
}
return txDAO.AddOrUpdateTaskClassItems(userID, items)
})
if err != nil {
return newagenttools.TaskClassUpsertPersistResult{}, err
}
return newagenttools.TaskClassUpsertPersistResult{
TaskClassID: taskClassID,
Created: created,
}, nil
},
},
}))
agentService.SetScheduleProvider(newagentconv.NewScheduleProvider(scheduleRepo, taskClassRepo))
agentService.SetCompactionStore(agentRepo)
agentService.SetQuickTaskDeps(newagentmodel.QuickTaskDeps{
CreateTask: func(userID int, title string, priorityGroup int, deadlineAt *time.Time, urgencyThresholdAt *time.Time) (int, error) {
created, err := taskRepo.AddTask(&model.Task{
UserID: userID,
Title: title,
Priority: priorityGroup,
IsCompleted: false,
DeadlineAt: deadlineAt,
UrgencyThresholdAt: urgencyThresholdAt,
})
if err != nil {
return 0, err
}
return created.ID, nil
},
QueryTasks: func(ctx context.Context, userID int, params newagentmodel.TaskQueryParams) ([]newagentmodel.TaskQueryResult, error) {
req := newagentmodel.TaskQueryRequest{
UserID: userID,
Quadrant: params.Quadrant,
SortBy: params.SortBy,
Order: params.Order,
Limit: params.Limit,
IncludeCompleted: params.IncludeCompleted,
Keyword: params.Keyword,
DeadlineBefore: params.DeadlineBefore,
DeadlineAfter: params.DeadlineAfter,
}
records, err := agentService.QueryTasksForTool(ctx, req)
if err != nil {
return nil, err
}
results := make([]newagentmodel.TaskQueryResult, 0, len(records))
for _, r := range records {
deadlineStr := ""
if r.DeadlineAt != nil {
deadlineStr = r.DeadlineAt.In(time.Local).Format("2006-01-02 15:04")
}
results = append(results, newagentmodel.TaskQueryResult{
ID: r.ID,
Title: r.Title,
PriorityGroup: r.PriorityGroup,
IsCompleted: r.IsCompleted,
DeadlineAt: deadlineStr,
})
}
return results, nil
},
})
agentService.SetMemoryReader(memoryModule, memoryCfg)
// API 层初始化。
userApi := api.NewUserHandler(userService)
taskApi := api.NewTaskHandler(taskSv)
courseApi := api.NewCourseHandler(courseService)
taskClassApi := api.NewTaskClassHandler(taskClassService)
scheduleApi := api.NewScheduleAPI(scheduleService)
agentApi := api.NewAgentHandler(agentService)
memoryApi := api.NewMemoryHandler(memoryModule)
handlers := &api.ApiHandlers{
UserHandler: userApi,
TaskHandler: taskApi,
TaskClassHandler: taskClassApi,
CourseHandler: courseApi,
ScheduleHandler: scheduleApi,
AgentHandler: agentApi,
MemoryHandler: memoryApi,
}
r := routers.RegisterRouters(handlers, cacheRepo, userRepo, limiter)
routers.StartEngine(r)
}
func stringPtrOrNil(value string) *string {
trimmed := strings.TrimSpace(value)
if trimmed == "" {
return nil
}
return &trimmed
}