package model

import (
	"context"
	"time"

	"spark-server/internal/module/user/entity"
)

// UserLoginLog maps table user_login_logs: one row per successful login.
type UserLoginLog struct {
	ID         int64     `gorm:"column:id;primaryKey;autoIncrement;comment:行 id，表内自增"`
	UserID     int64     `gorm:"column:user_id;comment:登录用户"`
	DeviceID   uint64    `gorm:"column:device_id;comment:devices.device_id"`
	AppID      uint8     `gorm:"column:app_id;comment:当次登录 app_id"`
	DeviceType string    `gorm:"column:device_type;comment:设备类型"`
	DeviceName string    `gorm:"column:device_name;comment:设备展示名"`
	AppVersion string    `gorm:"column:app_version;comment:客户端版本"`
	Language   string    `gorm:"column:language;comment:登录语言"`
	IP         string    `gorm:"column:ip;comment:PROXY RealIP"`
	CreatedAt  time.Time `gorm:"column:created_at;comment:本次登录时间"`
}

func (UserLoginLog) TableName() string { return "t_user_login_logs" }

func (m *Repo) InsertLoginLog(ctx context.Context, log *entity.LoginLog) error {
	if log == nil {
		return nil
	}
	db, err := m.session(ctx)
	if err != nil {
		return err
	}
	row := UserLoginLog{
		UserID:     log.UserID,
		DeviceID:   log.DeviceID,
		AppID:      log.AppID,
		DeviceType: log.DeviceType,
		DeviceName: log.DeviceName,
		AppVersion: log.AppVersion,
		Language:   log.Language,
		IP:         log.IP,
		CreatedAt:  log.CreatedAt,
	}
	if err := db.Create(&row).Error; err != nil {
		return mapDBErr(err)
	}
	log.ID = row.ID
	return nil
}