bindbox-game/tools/lottery_data_analyzer/main.go

package main

import (
	"database/sql"
	"fmt"
	"log"
	"os"

	_ "github.com/go-sql-driver/mysql"
)

func main() {
	// 从环境变量读取数据库连接信息
	dsn := os.Getenv("DB_DSN")
	if dsn == "" {
		fmt.Println("请设置环境变量 DB_DSN，例如：")
		fmt.Println("export DB_DSN='user:password@tcp(host:port)/dev_game?charset=utf8mb4&parseTime=True&loc=Local'")
		return
	}

	db, err := sql.Open("mysql", dsn)
	if err != nil {
		log.Fatal("连接数据库失败:", err)
	}
	defer db.Close()

	if err := db.Ping(); err != nil {
		log.Fatal("数据库连接测试失败:", err)
	}

	fmt.Println("========== 抽奖数据分析工具 ==========\n")

	// 1. 查询最近的活动和期次
	fmt.Println("【最近的活动期次】")
	rows, err := db.Query(`
		SELECT ai.id, ai.activity_id, a.name, ai.issue_number, ai.status
		FROM activity_issues ai
		LEFT JOIN activities a ON ai.activity_id = a.id
		WHERE a.play_type = 'default'
		ORDER BY ai.created_at DESC
		LIMIT 5
	`)
	if err != nil {
		log.Fatal("查询期次失败:", err)
	}
	defer rows.Close()

	var issueIDs []int64
	for rows.Next() {
		var issueID, activityID int64
		var activityName string
		var issueNumber, status int32
		if err := rows.Scan(&issueID, &activityID, &activityName, &issueNumber, &status); err != nil {
			log.Fatal(err)
		}
		fmt.Printf("期次ID: %d, 活动: %s, 期号: %d, 状态: %d\n", issueID, activityName, issueNumber, status)
		issueIDs = append(issueIDs, issueID)
	}

	if len(issueIDs) == 0 {
		fmt.Println("没有找到活动期次")
		return
	}

	// 选择第一个期次进行分析
	issueID := issueIDs[0]
	fmt.Printf("\n分析期次ID: %d\n\n", issueID)

	// 2. 查询该期次的奖品权重配置
	fmt.Println("【奖品权重配置】")
	rows, err = db.Query(`
		SELECT id, product_id, weight, quantity, level, is_boss
		FROM activity_reward_settings
		WHERE issue_id = ?
		ORDER BY weight ASC
	`, issueID)
	if err != nil {
		log.Fatal("查询奖品配置失败:", err)
	}
	defer rows.Close()

	type Reward struct {
		ID        int64
		ProductID int64
		Weight    int32
		Quantity  int32
		Level     int32
		IsBoss    int32
	}

	var rewards []Reward
	var totalWeight int64
	for rows.Next() {
		var r Reward
		if err := rows.Scan(&r.ID, &r.ProductID, &r.Weight, &r.Quantity, &r.Level, &r.IsBoss); err != nil {
			log.Fatal(err)
		}
		rewards = append(rewards, r)
		totalWeight += int64(r.Weight)
	}

	fmt.Printf("总权重: %d\n\n", totalWeight)
	for _, r := range rewards {
		prob := float64(r.Weight) / float64(totalWeight) * 100
		fmt.Printf("奖品ID: %d, 权重: %6d, 概率: %6.3f%%, 数量: %d, 等级: %d, 是否大奖: %d\n",
			r.ID, r.Weight, prob, r.Quantity, r.Level, r.IsBoss)
	}

	// 3. 查询该期次的中奖记录
	fmt.Println("\n【中奖统计】")
	rows, err = db.Query(`
		SELECT reward_id, COUNT(*) as count
		FROM activity_draw_logs
		WHERE issue_id = ?
		GROUP BY reward_id
		ORDER BY count DESC
	`, issueID)
	if err != nil {
		log.Fatal("查询中奖记录失败:", err)
	}
	defer rows.Close()

	type DrawStat struct {
		RewardID int64
		Count    int64
	}

	var drawStats []DrawStat
	var totalDraws int64
	for rows.Next() {
		var ds DrawStat
		if err := rows.Scan(&ds.RewardID, &ds.Count); err != nil {
			log.Fatal(err)
		}
		drawStats = append(drawStats, ds)
		totalDraws += ds.Count
	}

	fmt.Printf("总抽奖次数: %d\n\n", totalDraws)

	// 创建奖品ID到权重的映射
	rewardMap := make(map[int64]Reward)
	for _, r := range rewards {
		rewardMap[r.ID] = r
	}

	// 分析每个奖品的实际中奖率
	fmt.Println("【实际中奖率分析】")
	fmt.Printf("%-10s %-10s %-10s %-10s %-10s %-10s\n", "奖品ID", "权重", "理论概率", "实际次数", "实际概率", "偏差")
	for _, ds := range drawStats {
		reward, ok := rewardMap[ds.RewardID]
		if !ok {
			continue
		}
		theoryProb := float64(reward.Weight) / float64(totalWeight) * 100
		actualProb := float64(ds.Count) / float64(totalDraws) * 100
		diff := actualProb - theoryProb
		fmt.Printf("%-10d %-10d %-10.3f%% %-10d %-10.3f%% %+10.3f%%\n",
			ds.RewardID, reward.Weight, theoryProb, ds.Count, actualProb, diff)
	}

	// 4. 分析大奖出现频率
	fmt.Println("\n【大奖分析】")
	var bigPrizeCount int64
	var bigPrizeWeight int64
	for _, ds := range drawStats {
		reward, ok := rewardMap[ds.RewardID]
		if !ok {
			continue
		}
		// 假设权重 <= 1000 的是大奖
		if reward.Weight <= 1000 {
			bigPrizeCount += ds.Count
			bigPrizeWeight += int64(reward.Weight)
		}
	}

	if bigPrizeWeight > 0 {
		bigPrizeTheory := float64(bigPrizeWeight) / float64(totalWeight) * 100
		bigPrizeActual := float64(bigPrizeCount) / float64(totalDraws) * 100
		fmt.Printf("大奖总权重: %d\n", bigPrizeWeight)
		fmt.Printf("大奖理论概率: %.3f%%\n", bigPrizeTheory)
		fmt.Printf("大奖实际概率: %.3f%%\n", bigPrizeActual)
		fmt.Printf("大奖出现次数: %d / %d\n", bigPrizeCount, totalDraws)
		fmt.Printf("偏差: %+.3f%%\n", bigPrizeActual-bigPrizeTheory)

		// 判断是否异常
		if bigPrizeActual > bigPrizeTheory*2 {
			fmt.Println("\n⚠️  警告：大奖实际概率是理论概率的 2 倍以上，可能存在问题！")
		} else if bigPrizeActual > bigPrizeTheory*1.5 {
			fmt.Println("\n⚠️  注意：大奖实际概率偏高，建议进一步调查")
		} else {
			fmt.Println("\n✅ 大奖概率在正常范围内")
		}
	}

	// 5. 查询最近的中奖记录
	fmt.Println("\n【最近 20 次中奖记录】")
	rows, err = db.Query(`
		SELECT id, user_id, reward_id, created_at
		FROM activity_draw_logs
		WHERE issue_id = ?
		ORDER BY created_at DESC
		LIMIT 20
	`, issueID)
	if err != nil {
		log.Fatal("查询中奖记录失败:", err)
	}
	defer rows.Close()

	for rows.Next() {
		var logID, userID, rewardID int64
		var createdAt string
		if err := rows.Scan(&logID, &userID, &rewardID, &createdAt); err != nil {
			log.Fatal(err)
		}
		reward, ok := rewardMap[rewardID]
		isBigPrize := ""
		if ok && reward.Weight <= 1000 {
			isBigPrize = " [大奖]"
		}
		fmt.Printf("用户: %d, 奖品ID: %d, 时间: %s%s\n", userID, rewardID, createdAt, isBigPrize)
	}
}