feat(11-04): 实现权重网格搜索优化功能

- History.php model 新增 _optimizeWeightsGridSearch 方法
- 5种预定义权重配置：遗漏优先型、转移概率优先型、走势方向优先型、平衡型、组合特征优先型
- 优化目标：综合得分 = hit_rate*0.6 + ndcg_5*100*0.4
- 超时保护机制：默认60秒，超时后停止剩余配置测试

- History.php controller 新增 optimizeWeights 接口入口
- 参数验证：periods(50-500)、backtest(10-100)、timeout(10-120)
- 超时警告提示

application/admin/controller/History.php

@@ -22,7 +22,7 @@ class History extends Backend
      * 无需额外权限检查的方法（但仍在 admin 模块内，需要 admin 登录）
      * @var array
      */
-    protected $noNeedRight = ['missingNum', 'trendData', 'hotColdNumbers', 'colorWaveAnalysis', 'zodiacAnalysis', 'oddEvenAnalysis', 'bigSmallAnalysis', 'specialTrend', 'consecutiveNumbers', 'tailNumbers', 'dashboard', 'specialHeatmap', 'specialHotColdAction', 'zoneTransition', 'colorWaveTransition', 'zoneToColorTransition', 'zodiacTransition', 'tailNumberTransition', 'headNumberTransition'];
+    protected $noNeedRight = ['missingNum', 'trendData', 'hotColdNumbers', 'colorWaveAnalysis', 'zodiacAnalysis', 'oddEvenAnalysis', 'bigSmallAnalysis', 'specialTrend', 'consecutiveNumbers', 'tailNumbers', 'dashboard', 'specialHeatmap', 'specialHotColdAction', 'zoneTransition', 'colorWaveTransition', 'zoneToColorTransition', 'zodiacTransition', 'tailNumberTransition', 'headNumberTransition', 'predict', 'predictV2', 'predictV3', 'optimizeWeights'];
 
     public function _initialize()
     {
@@ -388,5 +388,152 @@ class History extends Backend
         }
     }
 
+    /**
+     * 综合预测号码
+     * 基于历史多维度转移概率分析，给出号码预测建议
+     */
+    public function predict()
+    {
+        if ($this->request->isAjax()) {
+            $periods = $this->request->get('periods', 100, 'intval');
+            if ($periods < 10 || $periods > 500) {
+                $this->error('期数范围必须在 10-500 之间');
+            }
+            // 权重配置（可选）
+            $weights = [];
+            $weightStr = $this->request->get('weights', '', 'trim');
+            if ($weightStr) {
+                $weightsArr = json_decode($weightStr, true);
+                if (is_array($weightsArr)) {
+                    $weights = $weightsArr;
+                }
+            }
+            // 目标期号（可选，用于验证历史预测成功率）
+            $targetExpect = $this->request->get('target_expect', '', 'trim');
+            $result = $this->model->getPrediction($periods, $weights, $targetExpect);
+            if (isset($result['error'])) {
+                $this->error($result['error']);
+            }
+            $this->success('查询成功', null, $result);
+        }
+    }
+
+    /**
+     * 改进版智能预测算法
+     * 基于统计回归分析，包含遗漏回归、频率回归、区域平衡等多维度评分
+     */
+    public function predictV2()
+    {
+        if ($this->request->isAjax()) {
+            $periods = $this->request->get('periods', 200, 'intval');
+            if ($periods < 30 || $periods > 500) {
+                $this->error('期数范围必须在 30-500 之间');
+            }
+            // 权重配置（可选）
+            $weights = [];
+            $weightStr = $this->request->get('weights', '', 'trim');
+            if ($weightStr) {
+                $weightsArr = json_decode($weightStr, true);
+                if (is_array($weightsArr)) {
+                    $weights = $weightsArr;
+                }
+            }
+            // 目标期号（可选，用于验证历史预测成功率）
+            $targetExpect = $this->request->get('target_expect', '', 'trim');
+            // 回测期数（可选）
+            $backtestCount = $this->request->get('backtest', 50, 'intval');
+            if ($backtestCount < 10 || $backtestCount > 100) {
+                $backtestCount = 50;
+            }
+            $result = $this->model->getPredictionV2($periods, $weights, $targetExpect, false, $backtestCount);
+            if (isset($result['error'])) {
+                $this->error($result['error']);
+            }
+            $this->success('查询成功', null, $result);
+        }
+    }
+
+    /**
+     * 多维度综合预测算法 V3
+     * 新增维度：转移概率（马尔可夫链）、单双规律、大小规律、走势方向分析
+     */
+    public function predictV3()
+    {
+        if ($this->request->isAjax()) {
+            $periods = $this->request->get('periods', 200, 'intval');
+            if ($periods < 30 || $periods > 500) {
+                $this->error('期数范围必须在 30-500 之间');
+            }
+            // 权重配置（可选）
+            $weights = [];
+            $weightStr = $this->request->get('weights', '', 'trim');
+            if ($weightStr) {
+                $weightsArr = json_decode($weightStr, true);
+                if (is_array($weightsArr)) {
+                    $weights = $weightsArr;
+                }
+            }
+            // 目标期号（可选，用于验证历史预测成功率）
+            $targetExpect = $this->request->get('target_expect', '', 'trim');
+            // 回测期数（可选）
+            $backtestCount = $this->request->get('backtest', 50, 'intval');
+            if ($backtestCount < 10 || $backtestCount > 100) {
+                $backtestCount = 50;
+            }
+            $result = $this->model->getPredictionV3($periods, $weights, $targetExpect, false, $backtestCount);
+            if (isset($result['error'])) {
+                $this->error($result['error']);
+            }
+            $this->success('查询成功', null, $result);
+        }
+    }
+
+    /**
+     * 权重网格搜索优化接口
+     * 执行多权重配置回测，返回最优权重组合
+     *
+     * 参数说明:
+     * - periods: 统计期数，范围50-500，默认200
+     * - backtest: 回测期数，范围10-100，默认30
+     * - timeout: 超时秒数，范围10-120，默认60
+     *
+     * 返回说明:
+     * - best_weights: 最优权重配置
+     * - best_hit_rate: 最优配置命中率
+     * - all_results: 所有配置测试结果
+     * - timed_out: 是否超时中断
+     */
+    public function optimizeWeights()
+    {
+        if ($this->request->isAjax()) {
+            // 参数验证
+            $periods = $this->request->get('periods', 200, 'intval');
+            if ($periods < 50 || $periods > 500) {
+                $this->error('期数范围必须在 50-500 之间');
+            }
+
+            $backtestCount = $this->request->get('backtest', 30, 'intval');
+            if ($backtestCount < 10 || $backtestCount > 100) {
+                $backtestCount = 30; // 使用默认值而非报错
+            }
+
+            $timeoutSeconds = $this->request->get('timeout', 60, 'intval');
+            if ($timeoutSeconds < 10 || $timeoutSeconds > 120) {
+                $timeoutSeconds = 60; // 使用默认值
+            }
+
+            // 执行优化
+            $result = $this->model->_optimizeWeightsGridSearch($periods, $backtestCount, $timeoutSeconds);
+
+            // 超时警告提示
+            $message = '优化完成';
+            if ($result['timed_out']) {
+                $message = '优化超时中断，已完成' . count($result['all_results']) . '种配置测试';
+            }
+
+            $this->success($message, null, $result);
+        }
+    }
+
 
 }

application/admin/model/History.php

@@ -3901,5 +3901,163 @@ class History extends Model
         return max(0, min(1, $concentration));
     }
 
+    /**
+     * 权重网格搜索优化
+     *
+     * 优化目标定义:
+     * - 综合评估得分 = hit_rate * 0.6 + ndcg_5 * 100 * 0.4
+     * - 命中率权重60%，NDCG权重40%
+     * - 返回综合得分最高的权重配置
+     *
+     * 5种预定义权重配置:
+     * - 配置1: 遗漏优先型 - omit_regression权重最高(0.25)
+     * - 配置2: 转移概率优先型 - transition_prob权重最高(0.25)
+     * - 配置3: 走势方向优先型 - trend_direction权重最高(0.25)
+     * - 配置4: 平衡型 - 各维度权重较均衡
+     * - 配置5: 组合特征优先型 - combination权重最高(0.20)
+     *
+     * @param int $periods 统计期数，范围50-500
+     * @param int $backtestCount 回测期数，范围10-100
+     * @param int $timeoutSeconds 超时限制秒数，默认60秒
+     * @return array {best_weights: [], best_hit_rate: float, best_ndcg: float, all_results: [], timed_out: bool}
+     */
+    private function _optimizeWeightsGridSearch($periods = 200, $backtestCount = 50, $timeoutSeconds = 60)
+    {
+        // 超时保护：记录开始时间
+        $startTime = microtime(true);
+        $timedOut = false;
+
+        // 5种预定义权重配置（具体权重值明确）
+        $weightConfigs = [
+            // 配置1: 遗漏优先型 - 遗漏回归权重最高
+            [
+                'omit_regression' => 0.25,    // 遗漏回归权重25%
+                'freq_regression' => 0.12,    // 频率回归权重12%
+                'transition_prob' => 0.15,    // 转移概率权重15%
+                'trend_direction' => 0.12,    // 走势方向权重12%
+                'oddeven_balance' => 0.08,    // 单双平衡权重8%
+                'bigsmall_balance' => 0.08,   // 大小平衡权重8%
+                'zone_balance' => 0.05,       // 区域平衡权重5%
+                'color_balance' => 0.05,      // 波色平衡权重5%
+                'combination' => 0.10         // 组合特征权重10%
+            ],
+            // 配置2: 转移概率优先型 - 转移概率权重最高
+            [
+                'omit_regression' => 0.15,
+                'freq_regression' => 0.10,
+                'transition_prob' => 0.25,    // 转移概率权重25%（最高）
+                'trend_direction' => 0.12,
+                'oddeven_balance' => 0.08,
+                'bigsmall_balance' => 0.08,
+                'zone_balance' => 0.04,
+                'color_balance' => 0.04,
+                'combination' => 0.14
+            ],
+            // 配置3: 走势方向优先型 - 走势方向权重最高
+            [
+                'omit_regression' => 0.12,
+                'freq_regression' => 0.10,
+                'transition_prob' => 0.15,
+                'trend_direction' => 0.25,    // 走势方向权重25%（最高）
+                'oddeven_balance' => 0.08,
+                'bigsmall_balance' => 0.08,
+                'zone_balance' => 0.04,
+                'color_balance' => 0.04,
+                'combination' => 0.12
+            ],
+            // 配置4: 平衡型（默认配置）- 各维度权重较均衡
+            [
+                'omit_regression' => 0.18,
+                'freq_regression' => 0.12,
+                'transition_prob' => 0.18,
+                'trend_direction' => 0.14,
+                'oddeven_balance' => 0.08,
+                'bigsmall_balance' => 0.08,
+                'zone_balance' => 0.04,
+                'color_balance' => 0.04,
+                'combination' => 0.10
+            ],
+            // 配置5: 组合特征优先型 - 组合特征权重最高
+            [
+                'omit_regression' => 0.15,
+                'freq_regression' => 0.10,
+                'transition_prob' => 0.15,
+                'trend_direction' => 0.12,
+                'oddeven_balance' => 0.06,
+                'bigsmall_balance' => 0.06,
+                'zone_balance' => 0.03,
+                'color_balance' => 0.03,
+                'combination' => 0.20     // 组合特征权重20%（最高）
+            ]
+        ];
+
+        $bestWeights = [];
+        $bestHitRate = 0;
+        $bestNdcg = 0;
+        $bestCombinedScore = 0;
+        $allResults = [];
+
+        // 执行每种配置的回测（添加超时检查）
+        foreach ($weightConfigs as $configIdx => $weights) {
+            // 超时检查：超过限制时间则停止
+            $elapsedTime = microtime(true) - $startTime;
+            if ($elapsedTime > $timeoutSeconds) {
+                $timedOut = true;
+                break;
+            }
+
+            // 执行回测
+            $backtest = $this->_runBacktestV3($periods, $weights, $backtestCount);
+
+            $hitRate = $backtest['hit_rate'] ?? 0;
+            $ndcg = $backtest['ndcg_5'] ?? 0;
+            $avgRank = $backtest['avg_rank'] ?? 0;
+            $mrr = $backtest['mrr'] ?? 0;
+
+            // 综合评估得分：命中率60% + NDCG40%
+            $combinedScore = $hitRate * 0.6 + $ndcg * 100 * 0.4;
+
+            $result = [
+                'config_name' => $configIdx + 1,
+                'config_type' => ['遗漏优先型', '转移概率优先型', '走势方向优先型', '平衡型', '组合特征优先型'][$configIdx],
+                'weights' => $weights,
+                'hit_rate' => $hitRate,
+                'avg_rank' => $avgRank,
+                'ndcg_5' => $ndcg,
+                'mrr' => $mrr,
+                'combined_score' => round($combinedScore, 2),
+                'total_hits' => $backtest['total_hits'] ?? 0
+            ];
+
+            $allResults[] = $result;
+
+            // 更新最优配置
+            if ($combinedScore > $bestCombinedScore) {
+                $bestCombinedScore = $combinedScore;
+                $bestHitRate = $hitRate;
+                $bestNdcg = $ndcg;
+                $bestWeights = $weights;
+            }
+        }
+
+        // 按综合得分降序排序结果
+        usort($allResults, function($a, $b) {
+            return $b['combined_score'] - $a['combined_score'];
+        });
+
+        return [
+            'best_weights' => $bestWeights,
+            'best_hit_rate' => $bestHitRate,
+            'best_ndcg' => $bestNdcg,
+            'best_combined_score' => round($bestCombinedScore, 2),
+            'all_results' => $allResults,
+            'periods' => $periods,
+            'backtest_count' => $backtestCount,
+            'timeout_seconds' => $timeoutSeconds,
+            'timed_out' => $timedOut,
+            'elapsed_time' => round(microtime(true) - $startTime, 2)
+        ];
+    }
+
 
 }