Features:

- Node group CRUD operations with traffic-based filtering
  - Three grouping modes: average distribution, subscription-based, and traffic-based
  - Automatic and manual group recalculation with history tracking
  - Group assignment preview before applying changes
  - User subscription group locking to prevent automatic reassignment
  - Subscribe-to-group mapping configuration
  - Group calculation history and detailed reports
  - System configuration for group management (enabled/mode/auto_create)

  Database:
  - Add node_group table for group definitions
  - Add group_history and group_history_detail tables for tracking
  - Add node_group_ids (JSON) to nodes and subscribe tables
  - Add node_group_id and group_locked fields to user_subscribe table
  - Add migration files for schema changes
This commit is contained in:
EUForest
2026-03-08 23:22:38 +08:00
parent 7d46b31866
commit 39310d5b9a
72 changed files with 4682 additions and 282 deletions
@@ -0,0 +1,814 @@
package group
import (
"context"
"encoding/json"
"time"
"github.com/perfect-panel/server/internal/model/group"
"github.com/perfect-panel/server/internal/svc"
"github.com/perfect-panel/server/internal/types"
"github.com/perfect-panel/server/pkg/logger"
"github.com/pkg/errors"
"gorm.io/gorm"
)
type RecalculateGroupLogic struct {
logger.Logger
ctx context.Context
svcCtx *svc.ServiceContext
}
// Recalculate group
func NewRecalculateGroupLogic(ctx context.Context, svcCtx *svc.ServiceContext) *RecalculateGroupLogic {
return &RecalculateGroupLogic{
Logger: logger.WithContext(ctx),
ctx: ctx,
svcCtx: svcCtx,
}
}
func (l *RecalculateGroupLogic) RecalculateGroup(req *types.RecalculateGroupRequest) error {
// 验证 mode 参数
if req.Mode != "average" && req.Mode != "subscribe" && req.Mode != "traffic" {
return errors.New("invalid mode, must be one of: average, subscribe, traffic")
}
// 创建 GroupHistory 记录(state=pending
triggerType := req.TriggerType
if triggerType == "" {
triggerType = "manual" // 默认为手动触发
}
history := &group.GroupHistory{
GroupMode: req.Mode,
TriggerType: triggerType,
TotalUsers: 0,
SuccessCount: 0,
FailedCount: 0,
}
now := time.Now()
history.StartTime = &now
// 使用 GORM Transaction 执行分组重算
err := l.svcCtx.DB.Transaction(func(tx *gorm.DB) error {
// 创建历史记录
if err := tx.Create(history).Error; err != nil {
l.Errorw("failed to create group history", logger.Field("error", err.Error()))
return err
}
// 更新状态为 running
if err := tx.Model(history).Update("state", "running").Error; err != nil {
l.Errorw("failed to update history state to running", logger.Field("error", err.Error()))
return err
}
// 根据 mode 执行不同的分组算法
var affectedCount int
var err error
switch req.Mode {
case "average":
affectedCount, err = l.executeAverageGrouping(tx, history.Id)
if err != nil {
l.Errorw("failed to execute average grouping", logger.Field("error", err.Error()))
return err
}
case "subscribe":
affectedCount, err = l.executeSubscribeGrouping(tx, history.Id)
if err != nil {
l.Errorw("failed to execute subscribe grouping", logger.Field("error", err.Error()))
return err
}
case "traffic":
affectedCount, err = l.executeTrafficGrouping(tx, history.Id)
if err != nil {
l.Errorw("failed to execute traffic grouping", logger.Field("error", err.Error()))
return err
}
}
// 更新 GroupHistory 记录(state=completed, 统计成功/失败数)
endTime := time.Now()
updates := map[string]interface{}{
"state": "completed",
"total_users": affectedCount,
"success_count": affectedCount, // 暂时假设所有都成功
"failed_count": 0,
"end_time": endTime,
}
if err := tx.Model(history).Updates(updates).Error; err != nil {
l.Errorw("failed to update history state to completed", logger.Field("error", err.Error()))
return err
}
l.Infof("group recalculation completed: mode=%s, affected_users=%d", req.Mode, affectedCount)
return nil
})
if err != nil {
// 如果失败,更新历史记录状态为 failed
updateErr := l.svcCtx.DB.Model(history).Updates(map[string]interface{}{
"state": "failed",
"error_message": err.Error(),
"end_time": time.Now(),
}).Error
if updateErr != nil {
l.Errorw("failed to update history state to failed", logger.Field("error", updateErr.Error()))
}
return err
}
return nil
}
// getUserEmail 查询用户的邮箱
func (l *RecalculateGroupLogic) getUserEmail(tx *gorm.DB, userId int64) string {
type UserAuthMethod struct {
AuthIdentifier string `json:"auth_identifier"`
}
var authMethod UserAuthMethod
if err := tx.Table("user_auth_methods").
Select("auth_identifier").
Where("user_id = ? AND (auth_type = ? OR auth_type = ?)", userId, "email", "6").
First(&authMethod).Error; err != nil {
return ""
}
return authMethod.AuthIdentifier
}
// executeAverageGrouping 实现平均分组算法(随机分配节点组到用户订阅)
// 新逻辑:获取所有有效用户订阅,从订阅的节点组ID中随机选择一个,设置到用户订阅的 node_group_id 字段
func (l *RecalculateGroupLogic) executeAverageGrouping(tx *gorm.DB, historyId int64) (int, error) {
// 1. 查询所有有效且未锁定的用户订阅(status IN (0, 1)
type UserSubscribeInfo struct {
Id int64 `json:"id"`
UserId int64 `json:"user_id"`
SubscribeId int64 `json:"subscribe_id"`
}
var userSubscribes []UserSubscribeInfo
if err := tx.Table("user_subscribe").
Select("id, user_id, subscribe_id").
Where("group_locked = ? AND status IN (0, 1)", 0). // 只查询未锁定且有效的用户订阅
Scan(&userSubscribes).Error; err != nil {
return 0, err
}
if len(userSubscribes) == 0 {
l.Infof("average grouping: no valid and unlocked user subscribes found")
return 0, nil
}
l.Infof("average grouping: found %d valid and unlocked user subscribes", len(userSubscribes))
// 1.5 查询所有参与计算的节点组ID
var calculationNodeGroups []group.NodeGroup
if err := tx.Table("node_group").
Select("id").
Where("for_calculation = ?", true).
Scan(&calculationNodeGroups).Error; err != nil {
l.Errorw("failed to query calculation node groups", logger.Field("error", err.Error()))
return 0, err
}
// 创建参与计算的节点组ID集合(用于快速查找)
calculationNodeGroupIds := make(map[int64]bool)
for _, ng := range calculationNodeGroups {
calculationNodeGroupIds[ng.Id] = true
}
l.Infof("average grouping: found %d node groups with for_calculation=true", len(calculationNodeGroupIds))
// 2. 批量查询订阅的节点组ID信息
subscribeIds := make([]int64, len(userSubscribes))
for i, us := range userSubscribes {
subscribeIds[i] = us.SubscribeId
}
type SubscribeInfo struct {
Id int64 `json:"id"`
NodeGroupIds string `json:"node_group_ids"` // JSON string
}
var subscribeInfos []SubscribeInfo
if err := tx.Table("subscribe").
Select("id, node_group_ids").
Where("id IN ?", subscribeIds).
Find(&subscribeInfos).Error; err != nil {
l.Errorw("failed to query subscribe infos", logger.Field("error", err.Error()))
return 0, err
}
// 创建 subscribe_id -> SubscribeInfo 的映射
subInfoMap := make(map[int64]SubscribeInfo)
for _, si := range subscribeInfos {
subInfoMap[si.Id] = si
}
// 用于存储统计信息(按节点组ID统计用户数)
groupUsersMap := make(map[int64][]struct {
Id int64 `json:"id"`
Email string `json:"email"`
})
nodeGroupUserCount := make(map[int64]int) // node_group_id -> user_count
nodeGroupNodeCount := make(map[int64]int) // node_group_id -> node_count
// 3. 遍历所有用户订阅,按序平均分配节点组
affectedCount := 0
failedCount := 0
// 为每个订阅维护一个分配索引,用于按序循环分配
subscribeAllocationIndex := make(map[int64]int) // subscribe_id -> current_index
for _, us := range userSubscribes {
subInfo, ok := subInfoMap[us.SubscribeId]
if !ok {
l.Infow("subscribe not found",
logger.Field("user_subscribe_id", us.Id),
logger.Field("subscribe_id", us.SubscribeId))
failedCount++
continue
}
// 解析订阅的节点组ID列表,并过滤出参与计算的节点组
var nodeGroupIds []int64
if subInfo.NodeGroupIds != "" && subInfo.NodeGroupIds != "[]" {
var allNodeGroupIds []int64
if err := json.Unmarshal([]byte(subInfo.NodeGroupIds), &allNodeGroupIds); err != nil {
l.Errorw("failed to parse node_group_ids",
logger.Field("subscribe_id", subInfo.Id),
logger.Field("node_group_ids", subInfo.NodeGroupIds),
logger.Field("error", err.Error()))
failedCount++
continue
}
// 只保留参与计算的节点组
for _, ngId := range allNodeGroupIds {
if calculationNodeGroupIds[ngId] {
nodeGroupIds = append(nodeGroupIds, ngId)
}
}
if len(nodeGroupIds) == 0 && len(allNodeGroupIds) > 0 {
l.Debugw("all node_group_ids are not for calculation, setting to 0",
logger.Field("subscribe_id", subInfo.Id),
logger.Field("total_node_groups", len(allNodeGroupIds)))
}
}
// 如果没有节点组ID,跳过
if len(nodeGroupIds) == 0 {
l.Debugf("no valid node_group_ids for subscribe_id=%d, setting to 0", subInfo.Id)
if err := tx.Table("user_subscribe").
Where("id = ?", us.Id).
Update("node_group_id", 0).Error; err != nil {
l.Errorw("failed to update user_subscribe node_group_id",
logger.Field("user_subscribe_id", us.Id),
logger.Field("error", err.Error()))
failedCount++
continue
}
}
// 按序选择节点组ID(循环轮询分配)
selectedNodeGroupId := int64(0)
if len(nodeGroupIds) > 0 {
// 获取当前订阅的分配索引
currentIndex := subscribeAllocationIndex[us.SubscribeId]
// 选择当前索引对应的节点组
selectedNodeGroupId = nodeGroupIds[currentIndex]
// 更新索引,循环使用(轮询)
subscribeAllocationIndex[us.SubscribeId] = (currentIndex + 1) % len(nodeGroupIds)
l.Debugf("assigning user_subscribe_id=%d (subscribe_id=%d) to node_group_id=%d (index=%d, total_options=%d, mode=sequential)",
us.Id, us.SubscribeId, selectedNodeGroupId, currentIndex, len(nodeGroupIds))
}
// 更新 user_subscribe 的 node_group_id 字段(单个ID
if err := tx.Table("user_subscribe").
Where("id = ?", us.Id).
Update("node_group_id", selectedNodeGroupId).Error; err != nil {
l.Errorw("failed to update user_subscribe node_group_id",
logger.Field("user_subscribe_id", us.Id),
logger.Field("error", err.Error()))
failedCount++
continue
}
// 只统计有节点组的用户
if selectedNodeGroupId > 0 {
// 查询用户邮箱,用于保存到历史记录
email := l.getUserEmail(tx, us.UserId)
groupUsersMap[selectedNodeGroupId] = append(groupUsersMap[selectedNodeGroupId], struct {
Id int64 `json:"id"`
Email string `json:"email"`
}{
Id: us.UserId,
Email: email,
})
nodeGroupUserCount[selectedNodeGroupId]++
}
affectedCount++
}
l.Infof("average grouping completed: affected=%d, failed=%d", affectedCount, failedCount)
// 4. 创建分组历史详情记录(按节点组ID统计)
for nodeGroupId, users := range groupUsersMap {
userCount := len(users)
if userCount == 0 {
continue
}
// 统计该节点组的节点数
var nodeCount int64 = 0
if nodeGroupId > 0 {
if err := tx.Table("nodes").
Where("JSON_CONTAINS(node_group_ids, ?)", nodeGroupId).
Count(&nodeCount).Error; err != nil {
l.Errorw("failed to count nodes",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
}
nodeGroupNodeCount[nodeGroupId] = int(nodeCount)
// 序列化用户信息为 JSON
userDataJSON := "[]"
if jsonData, err := json.Marshal(users); err == nil {
userDataJSON = string(jsonData)
} else {
l.Errorw("failed to marshal user data",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
// 创建历史详情(使用 node_group_id 作为分组标识)
detail := &group.GroupHistoryDetail{
HistoryId: historyId,
NodeGroupId: nodeGroupId,
UserCount: userCount,
NodeCount: int(nodeCount),
UserData: userDataJSON,
}
if err := tx.Create(detail).Error; err != nil {
l.Errorw("failed to create group history detail",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
l.Infof("Average Group (node_group_id=%d): users=%d, nodes=%d",
nodeGroupId, userCount, nodeCount)
}
return affectedCount, nil
}
// executeSubscribeGrouping 实现基于订阅套餐的分组算法
// 逻辑:查询有效订阅 → 获取订阅的 node_group_ids → 取第一个 node_group_id(如果有) → 更新 user_subscribe.node_group_id
// 订阅过期的用户 → 设置 node_group_id 为 0
func (l *RecalculateGroupLogic) executeSubscribeGrouping(tx *gorm.DB, historyId int64) (int, error) {
// 1. 查询所有有效且未锁定的用户订阅(status IN (0, 1), group_locked = 0
type UserSubscribeInfo struct {
Id int64 `json:"id"`
UserId int64 `json:"user_id"`
SubscribeId int64 `json:"subscribe_id"`
}
var userSubscribes []UserSubscribeInfo
if err := tx.Table("user_subscribe").
Select("id, user_id, subscribe_id").
Where("group_locked = ? AND status IN (0, 1)", 0).
Scan(&userSubscribes).Error; err != nil {
l.Errorw("failed to query user subscribes", logger.Field("error", err.Error()))
return 0, err
}
if len(userSubscribes) == 0 {
l.Infof("subscribe grouping: no valid and unlocked user subscribes found")
return 0, nil
}
l.Infof("subscribe grouping: found %d valid and unlocked user subscribes", len(userSubscribes))
// 1.5 查询所有参与计算的节点组ID
var calculationNodeGroups []group.NodeGroup
if err := tx.Table("node_group").
Select("id").
Where("for_calculation = ?", true).
Scan(&calculationNodeGroups).Error; err != nil {
l.Errorw("failed to query calculation node groups", logger.Field("error", err.Error()))
return 0, err
}
// 创建参与计算的节点组ID集合(用于快速查找)
calculationNodeGroupIds := make(map[int64]bool)
for _, ng := range calculationNodeGroups {
calculationNodeGroupIds[ng.Id] = true
}
l.Infof("subscribe grouping: found %d node groups with for_calculation=true", len(calculationNodeGroupIds))
// 2. 批量查询订阅的节点组ID信息
subscribeIds := make([]int64, len(userSubscribes))
for i, us := range userSubscribes {
subscribeIds[i] = us.SubscribeId
}
type SubscribeInfo struct {
Id int64 `json:"id"`
NodeGroupIds string `json:"node_group_ids"` // JSON string
}
var subscribeInfos []SubscribeInfo
if err := tx.Table("subscribe").
Select("id, node_group_ids").
Where("id IN ?", subscribeIds).
Find(&subscribeInfos).Error; err != nil {
l.Errorw("failed to query subscribe infos", logger.Field("error", err.Error()))
return 0, err
}
// 创建 subscribe_id -> SubscribeInfo 的映射
subInfoMap := make(map[int64]SubscribeInfo)
for _, si := range subscribeInfos {
subInfoMap[si.Id] = si
}
// 用于存储统计信息(按节点组ID统计用户数)
type UserInfo struct {
Id int64 `json:"id"`
Email string `json:"email"`
}
groupUsersMap := make(map[int64][]UserInfo)
nodeGroupUserCount := make(map[int64]int) // node_group_id -> user_count
nodeGroupNodeCount := make(map[int64]int) // node_group_id -> node_count
// 3. 遍历所有用户订阅,取第一个节点组ID
affectedCount := 0
failedCount := 0
for _, us := range userSubscribes {
subInfo, ok := subInfoMap[us.SubscribeId]
if !ok {
l.Infow("subscribe not found",
logger.Field("user_subscribe_id", us.Id),
logger.Field("subscribe_id", us.SubscribeId))
failedCount++
continue
}
// 解析订阅的节点组ID列表,并过滤出参与计算的节点组
var nodeGroupIds []int64
if subInfo.NodeGroupIds != "" && subInfo.NodeGroupIds != "[]" {
var allNodeGroupIds []int64
if err := json.Unmarshal([]byte(subInfo.NodeGroupIds), &allNodeGroupIds); err != nil {
l.Errorw("failed to parse node_group_ids",
logger.Field("subscribe_id", subInfo.Id),
logger.Field("node_group_ids", subInfo.NodeGroupIds),
logger.Field("error", err.Error()))
failedCount++
continue
}
// 只保留参与计算的节点组
for _, ngId := range allNodeGroupIds {
if calculationNodeGroupIds[ngId] {
nodeGroupIds = append(nodeGroupIds, ngId)
}
}
if len(nodeGroupIds) == 0 && len(allNodeGroupIds) > 0 {
l.Debugw("all node_group_ids are not for calculation, setting to 0",
logger.Field("subscribe_id", subInfo.Id),
logger.Field("total_node_groups", len(allNodeGroupIds)))
}
}
// 取第一个参与计算的节点组ID(如果有),否则设置为 0
selectedNodeGroupId := int64(0)
if len(nodeGroupIds) > 0 {
selectedNodeGroupId = nodeGroupIds[0]
}
l.Debugf("assigning user_subscribe_id=%d (subscribe_id=%d) to node_group_id=%d (total_options=%d, selected_first)",
us.Id, us.SubscribeId, selectedNodeGroupId, len(nodeGroupIds))
// 更新 user_subscribe 的 node_group_id 字段
if err := tx.Table("user_subscribe").
Where("id = ?", us.Id).
Update("node_group_id", selectedNodeGroupId).Error; err != nil {
l.Errorw("failed to update user_subscribe node_group_id",
logger.Field("user_subscribe_id", us.Id),
logger.Field("error", err.Error()))
failedCount++
continue
}
// 只统计有节点组的用户
if selectedNodeGroupId > 0 {
// 查询用户邮箱,用于保存到历史记录
email := l.getUserEmail(tx, us.UserId)
groupUsersMap[selectedNodeGroupId] = append(groupUsersMap[selectedNodeGroupId], UserInfo{
Id: us.UserId,
Email: email,
})
nodeGroupUserCount[selectedNodeGroupId]++
}
affectedCount++
}
l.Infof("subscribe grouping completed: affected=%d, failed=%d", affectedCount, failedCount)
// 4. 处理订阅过期/失效的用户,设置 node_group_id 为 0
// 查询所有没有有效订阅且未锁定的用户订阅记录
var expiredUserSubscribes []struct {
Id int64 `json:"id"`
UserId int64 `json:"user_id"`
}
if err := tx.Raw(`
SELECT us.id, us.user_id
FROM user_subscribe as us
WHERE us.group_locked = 0
AND us.status NOT IN (0, 1)
`).Scan(&expiredUserSubscribes).Error; err != nil {
l.Errorw("failed to query expired user subscribes", logger.Field("error", err.Error()))
// 继续处理,不因为过期用户查询失败而影响
} else {
l.Infof("found %d expired user subscribes for subscribe-based grouping, will set node_group_id to 0", len(expiredUserSubscribes))
expiredAffectedCount := 0
for _, eu := range expiredUserSubscribes {
// 更新 user_subscribe 表的 node_group_id 字段到 0
if err := tx.Table("user_subscribe").
Where("id = ?", eu.Id).
Update("node_group_id", 0).Error; err != nil {
l.Errorw("failed to update expired user subscribe node_group_id",
logger.Field("user_subscribe_id", eu.Id),
logger.Field("error", err.Error()))
continue
}
expiredAffectedCount++
}
l.Infof("expired user subscribes grouping completed: affected=%d", expiredAffectedCount)
}
// 5. 创建分组历史详情记录(按节点组ID统计)
for nodeGroupId, users := range groupUsersMap {
userCount := len(users)
if userCount == 0 {
continue
}
// 统计该节点组的节点数
var nodeCount int64 = 0
if nodeGroupId > 0 {
if err := tx.Table("nodes").
Where("JSON_CONTAINS(node_group_ids, ?)", nodeGroupId).
Count(&nodeCount).Error; err != nil {
l.Errorw("failed to count nodes",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
}
nodeGroupNodeCount[nodeGroupId] = int(nodeCount)
// 序列化用户信息为 JSON
userDataJSON := "[]"
if jsonData, err := json.Marshal(users); err == nil {
userDataJSON = string(jsonData)
} else {
l.Errorw("failed to marshal user data",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
// 创建历史详情
detail := &group.GroupHistoryDetail{
HistoryId: historyId,
NodeGroupId: nodeGroupId,
UserCount: userCount,
NodeCount: int(nodeCount),
UserData: userDataJSON,
}
if err := tx.Create(detail).Error; err != nil {
l.Errorw("failed to create group history detail",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
l.Infof("Subscribe Group (node_group_id=%d): users=%d, nodes=%d",
nodeGroupId, userCount, nodeCount)
}
return affectedCount, nil
}
// executeTrafficGrouping 实现基于流量的分组算法
// 逻辑:根据配置的流量范围,将用户分配到对应的用户组
func (l *RecalculateGroupLogic) executeTrafficGrouping(tx *gorm.DB, historyId int64) (int, error) {
// 用于存储每个节点组的用户信息(id 和 email)
type UserInfo struct {
Id int64 `json:"id"`
Email string `json:"email"`
}
groupUsersMap := make(map[int64][]UserInfo) // node_group_id -> []UserInfo
// 1. 获取所有设置了流量区间的节点组
var nodeGroups []group.NodeGroup
if err := tx.Where("for_calculation = ?", true).
Where("(min_traffic_gb > 0 OR max_traffic_gb > 0)").
Find(&nodeGroups).Error; err != nil {
l.Errorw("failed to query node groups", logger.Field("error", err.Error()))
return 0, err
}
if len(nodeGroups) == 0 {
l.Infow("no node groups with traffic ranges configured")
return 0, nil
}
l.Infow("executeTrafficGrouping loaded node groups",
logger.Field("node_groups_count", len(nodeGroups)))
// 2. 查询所有有效且未锁定的用户订阅及其已用流量
type UserSubscribeInfo struct {
Id int64
UserId int64
Upload int64
Download int64
UsedTraffic int64 // 已用流量 = upload + download (bytes)
}
var userSubscribes []UserSubscribeInfo
if err := tx.Table("user_subscribe").
Select("id, user_id, upload, download, (upload + download) as used_traffic").
Where("group_locked = ? AND status IN (0, 1)", 0). // 只查询有效且未锁定的用户订阅
Scan(&userSubscribes).Error; err != nil {
l.Errorw("failed to query user subscribes", logger.Field("error", err.Error()))
return 0, err
}
if len(userSubscribes) == 0 {
l.Infow("no valid and unlocked user subscribes found")
return 0, nil
}
l.Infow("found user subscribes for traffic-based grouping", logger.Field("count", len(userSubscribes)))
// 3. 根据流量范围分配节点组ID到用户订阅
affectedCount := 0
groupUserCount := make(map[int64]int) // node_group_id -> user_count
for _, us := range userSubscribes {
// 将字节转换为 GB
usedTrafficGB := float64(us.UsedTraffic) / (1024 * 1024 * 1024)
// 查找匹配的流量范围(使用左闭右开区间 [Min, Max))
var targetNodeGroupId int64 = 0
for _, ng := range nodeGroups {
if ng.MinTrafficGB == nil || ng.MaxTrafficGB == nil {
continue
}
minTraffic := float64(*ng.MinTrafficGB)
maxTraffic := float64(*ng.MaxTrafficGB)
// 检查是否在区间内 [min, max)
if usedTrafficGB >= minTraffic && usedTrafficGB < maxTraffic {
targetNodeGroupId = ng.Id
break
}
}
// 如果没有匹配到任何范围,targetNodeGroupId 保持为 0(不分配节点组)
// 更新 user_subscribe 的 node_group_id 字段
if err := tx.Table("user_subscribe").
Where("id = ?", us.Id).
Update("node_group_id", targetNodeGroupId).Error; err != nil {
l.Errorw("failed to update user subscribe node_group_id",
logger.Field("user_subscribe_id", us.Id),
logger.Field("target_node_group_id", targetNodeGroupId),
logger.Field("error", err.Error()))
continue
}
// 只有分配了节点组的用户才记录到历史
if targetNodeGroupId > 0 {
// 查询用户邮箱,用于保存到历史记录
email := l.getUserEmail(tx, us.UserId)
userInfo := UserInfo{
Id: us.UserId,
Email: email,
}
groupUsersMap[targetNodeGroupId] = append(groupUsersMap[targetNodeGroupId], userInfo)
groupUserCount[targetNodeGroupId]++
l.Debugf("assigned user subscribe %d (traffic: %.2fGB) to node group %d",
us.Id, usedTrafficGB, targetNodeGroupId)
} else {
l.Debugf("user subscribe %d (traffic: %.2fGB) not assigned to any node group",
us.Id, usedTrafficGB)
}
affectedCount++
}
l.Infof("traffic-based grouping completed: affected_subscribes=%d", affectedCount)
// 4. 创建分组历史详情记录(只统计有用户的节点组)
nodeGroupCount := make(map[int64]int) // node_group_id -> node_count
for _, ng := range nodeGroups {
nodeGroupCount[ng.Id] = 1 // 每个节点组计为1
}
for nodeGroupId, userCount := range groupUserCount {
userDataJSON, err := json.Marshal(groupUsersMap[nodeGroupId])
if err != nil {
l.Errorw("failed to marshal user data",
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
continue
}
detail := group.GroupHistoryDetail{
HistoryId: historyId,
NodeGroupId: nodeGroupId,
UserCount: userCount,
NodeCount: nodeGroupCount[nodeGroupId],
UserData: string(userDataJSON),
}
if err := tx.Create(&detail).Error; err != nil {
l.Errorw("failed to create group history detail",
logger.Field("history_id", historyId),
logger.Field("node_group_id", nodeGroupId),
logger.Field("error", err.Error()))
}
}
return affectedCount, nil
}
// containsIgnoreCase checks if a string contains another substring (case-insensitive)
func containsIgnoreCase(s, substr string) bool {
if len(substr) == 0 {
return true
}
if len(s) < len(substr) {
return false
}
// Simple case-insensitive contains check
sLower := toLower(s)
substrLower := toLower(substr)
return contains(sLower, substrLower)
}
// toLower converts a string to lowercase
func toLower(s string) string {
result := make([]rune, len(s))
for i, r := range s {
if r >= 'A' && r <= 'Z' {
result[i] = r + ('a' - 'A')
} else {
result[i] = r
}
}
return string(result)
}
// contains checks if a string contains another substring (case-sensitive)
func contains(s, substr string) bool {
return len(s) >= len(substr) && indexOf(s, substr) >= 0
}
// indexOf returns the index of the first occurrence of substr in s, or -1 if not found
func indexOf(s, substr string) int {
n := len(substr)
if n == 0 {
return 0
}
if n > len(s) {
return -1
}
// Simple string search
for i := 0; i <= len(s)-n; i++ {
if s[i:i+n] == substr {
return i
}
}
return -1
}