Files
ai-agent/internal/services/dashboard_service.go
T
mlogclub 847f688398 Refactor AI Agent configuration and workflow handling
- Removed runtime mode handling from AIAgentConfigWorkbench and related components.
- Updated tests to reflect changes in AI Agent policy copy and configuration.
- Changed terminology from "workflow" to "revision" in various components and API responses.
- Simplified agent binding logic in channel editing.
- Cleaned up unused variables and types related to runtime modes.
- Updated localization files for consistency with new terminology.
2026-07-27 23:29:02 +08:00

475 lines
18 KiB
Go

package services
import (
"agent-desk/internal/models"
"agent-desk/internal/pkg/dto/response"
"agent-desk/internal/pkg/enums"
"agent-desk/internal/pkg/i18nx"
"agent-desk/internal/repositories"
"fmt"
"sort"
"strings"
"time"
"github.com/mlogclub/simple/sqls"
"gorm.io/gorm"
)
var DashboardService = newDashboardService()
func newDashboardService() *dashboardService {
return &dashboardService{}
}
type dashboardService struct {
}
func (s *dashboardService) GetOverview(rangeValue string, locale string) response.DashboardOverviewResponse {
locale = i18nx.NormalizeLocale(locale)
now := time.Now()
normalizedRange, trendDays := normalizeDashboardRange(rangeValue)
todayStart := startOfDay(now)
trendStart := todayStart.AddDate(0, 0, -(trendDays - 1))
db := sqls.DB()
conversationTodayCount := repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("created_at >= ?", todayStart)
})
processingConversationCount := repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status IN ?", []enums.IMConversationStatus{
enums.IMConversationStatusAIServing,
enums.IMConversationStatusActive,
})
})
pendingConversationCount := repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status = ?", enums.IMConversationStatusPending)
})
agentProfiles := repositories.DashboardRepository.ListEnabledAgentProfiles(db)
agentTeams := repositories.DashboardRepository.ListEnabledAgentTeams(db)
activeSchedules := repositories.DashboardRepository.ListActiveTeamSchedules(db, now, now)
activeConversations := repositories.DashboardRepository.ListConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status IN ?", []enums.IMConversationStatus{
enums.IMConversationStatusAIServing,
enums.IMConversationStatusPending,
enums.IMConversationStatusActive,
})
})
onlineAgents, busyAgents, offlineAgents, teamLoads := s.buildAgentStats(now, agentTeams, agentProfiles, activeSchedules, activeConversations)
enabledAIAgentCount := repositories.DashboardRepository.CountAIAgents(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status = ?", enums.StatusOk)
})
enabledChannelCount := repositories.DashboardRepository.CountChannels(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status = ?", enums.StatusOk)
})
knowledgeRetrieveCount := repositories.DashboardRepository.CountKnowledgeRetrieveLogs(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("created_at >= ?", todayStart)
})
knowledgeRetrieveFailCount := repositories.DashboardRepository.CountKnowledgeRetrieveLogs(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("created_at >= ? AND answer_status IN ?", todayStart, []int{2, 3, 4})
})
agentRunFailCount := repositories.DashboardRepository.CountAgentRuns(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("created_at >= ? AND status = ?", todayStart, "failed")
})
aiHandoffCount := repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("handoff_at >= ?", todayStart)
})
enabledAIAgents := repositories.DashboardRepository.ListAIAgents(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status = ?", enums.StatusOk)
})
alerts := s.buildAlerts(now, db, enabledAIAgents, agentTeams, activeSchedules, locale)
return response.DashboardOverviewResponse{
Range: normalizedRange,
GeneratedAt: now.Format("2006-01-02 15:04:05"),
Summary: response.DashboardSummaryResponse{
TodayNewConversations: conversationTodayCount,
ProcessingConversations: processingConversationCount,
PendingDispatchConversations: pendingConversationCount,
OnlineAgents: onlineAgents,
AIServiceRate: calcAIServiceRate(activeConversations),
},
ConversationStats: response.DashboardSectionStatsResponse{
StatusDistribution: buildConversationStatusDistribution(db, locale),
Trend: buildConversationTrend(db, trendStart),
},
AgentStats: response.DashboardAgentStatsResponse{
OnlineAgents: onlineAgents,
BusyAgents: busyAgents,
OfflineAgents: offlineAgents,
TeamLoads: teamLoads,
},
AIStats: response.DashboardAIStatsResponse{
EnabledAIAgents: enabledAIAgentCount,
EnabledChannels: enabledChannelCount,
TodayKnowledgeRetrieves: knowledgeRetrieveCount,
TodayKnowledgeRetrieveFailCount: knowledgeRetrieveFailCount,
TodayKnowledgeRetrieveFailRate: calcRate(knowledgeRetrieveFailCount, knowledgeRetrieveCount),
TodayAgentRunFailCount: agentRunFailCount,
TodayAIHandoffCount: aiHandoffCount,
},
Alerts: alerts,
QuickLinks: buildDashboardQuickLinks(locale),
}
}
func (s *dashboardService) buildAgentStats(now time.Time, teams []models.AgentTeam, profiles []models.AgentProfile, schedules []models.AgentTeamSchedule, conversations []models.Conversation) (int64, int64, int64, []response.DashboardTeamLoadResponse) {
const onlineWindow = 15 * time.Minute
scheduledTeamIDs := make(map[int64]bool, len(schedules))
for _, item := range schedules {
scheduledTeamIDs[item.TeamID] = true
}
type teamCounter struct {
totalAgents int64
onlineAgents int64
busyAgents int64
offlineAgents int64
waitingConversations int64
processingConversations int64
maxConcurrentCapacity int64
}
teamCounters := make(map[int64]*teamCounter, len(teams))
for _, team := range teams {
teamCounters[team.ID] = &teamCounter{}
}
var onlineAgents int64
var busyAgents int64
var offlineAgents int64
for _, profile := range profiles {
counter := teamCounters[profile.TeamID]
if counter == nil {
counter = &teamCounter{}
teamCounters[profile.TeamID] = counter
}
counter.totalAgents++
counter.maxConcurrentCapacity += int64(profile.MaxConcurrentCount)
if profile.LastOnlineAt != nil && now.Sub(*profile.LastOnlineAt) <= onlineWindow {
counter.onlineAgents++
onlineAgents++
if profile.ServiceStatus == enums.ServiceStatusBusy {
counter.busyAgents++
busyAgents++
}
continue
}
counter.offlineAgents++
offlineAgents++
}
for _, item := range conversations {
if item.CurrentTeamID <= 0 {
continue
}
counter := teamCounters[item.CurrentTeamID]
if counter == nil {
counter = &teamCounter{}
teamCounters[item.CurrentTeamID] = counter
}
switch item.Status {
case enums.IMConversationStatusAIServing:
counter.processingConversations++
case enums.IMConversationStatusPending:
counter.waitingConversations++
case enums.IMConversationStatusActive:
counter.processingConversations++
}
}
teamLoads := make([]response.DashboardTeamLoadResponse, 0, len(teams))
for _, team := range teams {
counter := teamCounters[team.ID]
if counter == nil {
counter = &teamCounter{}
}
teamLoads = append(teamLoads, response.DashboardTeamLoadResponse{
TeamID: team.ID,
TeamName: team.Name,
TotalAgents: counter.totalAgents,
OnlineAgents: counter.onlineAgents,
BusyAgents: counter.busyAgents,
OfflineAgents: counter.offlineAgents,
WaitingConversations: counter.waitingConversations,
ProcessingConversations: counter.processingConversations,
MaxConcurrentCapacity: counter.maxConcurrentCapacity,
LoadRate: calcRate(counter.processingConversations, counter.maxConcurrentCapacity),
HasScheduleNow: scheduledTeamIDs[team.ID],
})
}
sort.Slice(teamLoads, func(i, j int) bool {
if teamLoads[i].WaitingConversations == teamLoads[j].WaitingConversations {
if teamLoads[i].LoadRate == teamLoads[j].LoadRate {
return teamLoads[i].TeamID < teamLoads[j].TeamID
}
return teamLoads[i].LoadRate > teamLoads[j].LoadRate
}
return teamLoads[i].WaitingConversations > teamLoads[j].WaitingConversations
})
return onlineAgents, busyAgents, offlineAgents, teamLoads
}
func (s *dashboardService) buildAlerts(now time.Time, db *gorm.DB, aiAgents []models.AIAgent, teams []models.AgentTeam, schedules []models.AgentTeamSchedule, locale string) []response.DashboardAlertResponse {
alerts := make([]response.DashboardAlertResponse, 0, 4)
pendingTimeout := now.Add(-10 * time.Minute)
activeTimeout := now.Add(-30 * time.Minute)
pendingLongWaitCount := repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status = ? AND created_at < ?", enums.IMConversationStatusPending, pendingTimeout)
})
if pendingLongWaitCount > 0 {
alerts = append(alerts, response.DashboardAlertResponse{
ID: "pending-long-wait",
Level: "warning",
Title: dashboardText(locale, "alert.pendingLongWait.title"),
Description: dashboardText(locale, "alert.pendingLongWait.description"),
Count: pendingLongWaitCount,
Link: "/dashboard/conversations",
})
}
staleProcessingCount := repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status IN ? AND (last_message_at IS NULL OR last_message_at < ?)", []enums.IMConversationStatus{
enums.IMConversationStatusAIServing,
enums.IMConversationStatusActive,
}, activeTimeout)
})
if staleProcessingCount > 0 {
alerts = append(alerts, response.DashboardAlertResponse{
ID: "stale-processing",
Level: "warning",
Title: dashboardText(locale, "alert.staleProcessing.title"),
Description: dashboardText(locale, "alert.staleProcessing.description"),
Count: staleProcessingCount,
Link: "/dashboard/conversations",
})
}
scheduledTeamIDs := make(map[int64]bool, len(schedules))
for _, item := range schedules {
scheduledTeamIDs[item.TeamID] = true
}
var scheduleMissingCount int64
for _, team := range teams {
if !scheduledTeamIDs[team.ID] {
scheduleMissingCount++
}
}
if scheduleMissingCount > 0 {
alerts = append(alerts, response.DashboardAlertResponse{
ID: "team-no-schedule",
Level: "info",
Title: dashboardText(locale, "alert.teamNoSchedule.title"),
Description: dashboardText(locale, "alert.teamNoSchedule.description"),
Count: scheduleMissingCount,
Link: "/dashboard/agent-team-schedules",
})
}
sort.Slice(alerts, func(i, j int) bool {
if alerts[i].Count == alerts[j].Count {
return alerts[i].ID < alerts[j].ID
}
return alerts[i].Count > alerts[j].Count
})
return alerts
}
func buildConversationStatusDistribution(db *gorm.DB, locale string) []response.DashboardStatusDistributionItem {
ret := make([]response.DashboardStatusDistributionItem, 0, len(enums.IMConversationStatusValues))
for _, status := range enums.IMConversationStatusValues {
ret = append(ret, response.DashboardStatusDistributionItem{
Status: int(status),
Label: conversationStatusLabel(status, locale),
Count: repositories.DashboardRepository.CountConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Where("status = ?", status)
}),
})
}
return ret
}
func buildConversationTrend(db *gorm.DB, start time.Time) []response.DashboardTrendItem {
created := repositories.DashboardRepository.ListConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Select("created_at").Where("created_at >= ?", start)
})
closed := repositories.DashboardRepository.ListConversations(db, func(tx *gorm.DB) *gorm.DB {
return tx.Select("closed_at").Where("closed_at IS NOT NULL AND closed_at >= ?", start)
})
return buildTrendItems(start, created, closed, func(item models.Conversation) *time.Time {
return &item.CreatedAt
}, func(item models.Conversation) *time.Time {
return item.ClosedAt
})
}
func buildTrendItems(start time.Time, created []models.Conversation, closed []models.Conversation, createdAt func(models.Conversation) *time.Time, closedAt func(models.Conversation) *time.Time) []response.DashboardTrendItem {
series := initTrendMap(start, time.Now())
for _, item := range created {
if ts := createdAt(item); ts != nil {
series[ts.Format("2006-01-02")].NewCount++
}
}
for _, item := range closed {
if ts := closedAt(item); ts != nil {
series[ts.Format("2006-01-02")].ClosedCount++
}
}
return flattenTrendMap(series)
}
func initTrendMap(start, end time.Time) map[string]*response.DashboardTrendItem {
series := make(map[string]*response.DashboardTrendItem)
for current := startOfDay(start); !current.After(end); current = current.AddDate(0, 0, 1) {
key := current.Format("2006-01-02")
series[key] = &response.DashboardTrendItem{Date: key}
}
return series
}
func flattenTrendMap(series map[string]*response.DashboardTrendItem) []response.DashboardTrendItem {
keys := make([]string, 0, len(series))
for key := range series {
keys = append(keys, key)
}
sort.Strings(keys)
ret := make([]response.DashboardTrendItem, 0, len(keys))
for _, key := range keys {
ret = append(ret, *series[key])
}
return ret
}
func buildDashboardQuickLinks(locale string) []response.DashboardQuickLinkResponse {
return []response.DashboardQuickLinkResponse{
{Title: dashboardText(locale, "quick.conversations.title"), Description: dashboardText(locale, "quick.conversations.description"), Link: "/dashboard/conversations"},
{Title: dashboardText(locale, "quick.agents.title"), Description: dashboardText(locale, "quick.agents.description"), Link: "/dashboard/agents"},
{Title: dashboardText(locale, "quick.knowledge.title"), Description: dashboardText(locale, "quick.knowledge.description"), Link: "/dashboard/knowledge"},
{Title: dashboardText(locale, "quick.aiAgents.title"), Description: dashboardText(locale, "quick.aiAgents.description"), Link: "/dashboard/ai-agents"},
{Title: dashboardText(locale, "quick.channels.title"), Description: dashboardText(locale, "quick.channels.description"), Link: "/dashboard/channels"},
}
}
func normalizeDashboardRange(value string) (string, int) {
switch value {
case "30d":
return "30d", 30
case "today":
return "today", 1
default:
return "7d", 7
}
}
func startOfDay(value time.Time) time.Time {
return time.Date(value.Year(), value.Month(), value.Day(), 0, 0, 0, 0, value.Location())
}
func calcRate(numerator, denominator int64) float64 {
if denominator <= 0 {
return 0
}
ratio := float64(numerator) / float64(denominator) * 100
return float64(int(ratio*10+0.5)) / 10
}
func calcAIServiceRate(conversations []models.Conversation) float64 {
var aiCount int64
var total int64
for _, item := range conversations {
total++
if item.ServiceMode == enums.IMConversationServiceModeAIOnly || item.ServiceMode == enums.IMConversationServiceModeAIFirst {
aiCount++
}
}
return calcRate(aiCount, total)
}
func labelOrDefault(value, fallback string) string {
if strings.TrimSpace(value) != "" {
return value
}
return fallback
}
func conversationStatusLabel(status enums.IMConversationStatus, locale string) string {
if i18nx.NormalizeLocale(locale) == i18nx.LocaleEnUS {
switch status {
case enums.IMConversationStatusAIServing:
return "AI active"
case enums.IMConversationStatusPending:
return "Queued"
case enums.IMConversationStatusActive:
return "In progress"
case enums.IMConversationStatusClosed:
return "Closed"
default:
return fmt.Sprintf("Status %d", status)
}
}
return labelOrDefault(enums.GetIMConversationStatusLabel(status), fmt.Sprintf("状态 %d", status))
}
func dashboardText(locale string, key string) string {
if i18nx.NormalizeLocale(locale) == i18nx.LocaleEnUS {
if value, ok := dashboardEnUS[key]; ok {
return value
}
}
if value, ok := dashboardZhCN[key]; ok {
return value
}
return key
}
var dashboardZhCN = map[string]string{
"alert.pendingLongWait.title": "待接入会话堆积",
"alert.pendingLongWait.description": "存在超过 10 分钟仍未接入的会话,建议优先处理分配。",
"alert.staleProcessing.title": "处理中会话长时间无响应",
"alert.staleProcessing.description": "部分处理中会话已超过 30 分钟没有最新消息,需要确认跟进状态。",
"alert.teamNoSchedule.title": "客服组当前无生效排班",
"alert.teamNoSchedule.description": "部分启用中的客服组当前没有生效排班,可能影响自动分配。",
"alert.aiNoKnowledge.title": "AI Agent 未绑定知识库",
"alert.aiNoKnowledge.description": "部分启用中的 AI Agent 尚未绑定知识库,回答质量可能不稳定。",
"quick.conversations.title": "会话管理",
"quick.conversations.description": "查看待接入与处理中会话",
"quick.agents.title": "客服档案",
"quick.agents.description": "查看客服状态与分组配置",
"quick.knowledge.title": "知识库",
"quick.knowledge.description": "维护文档与查看检索日志",
"quick.aiAgents.title": "AI Agent",
"quick.aiAgents.description": "配置 AI 接待策略与知识绑定",
"quick.channels.title": "接入渠道",
"quick.channels.description": "管理接入渠道与默认 Agent",
}
var dashboardEnUS = map[string]string{
"alert.pendingLongWait.title": "Queued conversations are piling up",
"alert.pendingLongWait.description": "Some conversations have been waiting for more than 10 minutes. Prioritize assignment.",
"alert.staleProcessing.title": "Active conversations need attention",
"alert.staleProcessing.description": "Some active conversations have had no new messages for over 30 minutes. Check their follow-up status.",
"alert.teamNoSchedule.title": "Agent teams have no active schedule",
"alert.teamNoSchedule.description": "Some enabled agent teams do not have an active schedule right now, which may affect automatic assignment.",
"alert.aiNoKnowledge.title": "AI Agents are missing knowledge bases",
"alert.aiNoKnowledge.description": "Some enabled AI Agents are not linked to a knowledge base yet, which may reduce answer quality.",
"quick.conversations.title": "Conversations",
"quick.conversations.description": "Review queued and active conversations",
"quick.agents.title": "Agents",
"quick.agents.description": "Check agent status and team setup",
"quick.knowledge.title": "Knowledge base",
"quick.knowledge.description": "Manage documents and review retrieval logs",
"quick.aiAgents.title": "AI Agents",
"quick.aiAgents.description": "Configure AI service policies and knowledge bindings",
"quick.channels.title": "Channels",
"quick.channels.description": "Manage channels and default agents",
}