From febe57c744002315e63adc72905e4ad17a1f942b Mon Sep 17 00:00:00 2001
From: "zhangkun9038@dingtalk.com" <zhangkun9038@dingtalk.com>
Date: Sun, 17 Aug 2025 11:41:47 +0800
Subject: [PATCH] =?UTF-8?q?trae=E8=A7=A3=E5=86=B3=E5=88=86=E7=B1=BB?=
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---
 freqtrade/templates/freqaiprimer.py | 26 ++++++++++++++++++++------
 1 file changed, 20 insertions(+), 6 deletions(-)

diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index 7fe1e0dc..d25a54f4 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -1401,9 +1401,20 @@ class FreqaiPrimer(IStrategy):
         
         try:
             # 使用分类模型预测最优 first_length
-            # 检查所有可能的分类列
-            classification_cols = [col for col in dataframe.columns if "optimal_first_length" in str(col)]
-            logger.info(f"[{pair}] 📊 检测到分类相关列: {classification_cols}")
+            # 检查所有可能的分类列（精确匹配实际列名格式）
+            classification_cols = [col for col in dataframe.columns 
+                               if col in ["&*-optimal_first_length", "optimal_first_length_pred"]]
+            if classification_cols:
+                logger.info(f"[{pair}] 📊 检测到分类相关列: {classification_cols}")
+            else:
+                logger.debug(f"[{pair}] 📊 未检测到分类相关列")
+            
+            # 调试：显示所有包含"optimal"的列名
+            all_optimal_cols = [col for col in dataframe.columns if "optimal" in str(col).lower()]
+            if all_optimal_cols:
+                logger.debug(f"[{pair}] 所有包含'optimal'的列: {all_optimal_cols}")
+            else:
+                logger.debug(f"[{pair}] 未找到任何包含'optimal'的列")
             
             if "optimal_first_length_pred" in dataframe.columns:
                 predicted_value = dataframe["optimal_first_length_pred"].iloc[-1]
@@ -1429,9 +1440,12 @@ class FreqaiPrimer(IStrategy):
                     logger.warning(f"[{pair}] ⚠️ &*-optimal_first_length 为NaN，使用默认值: {first_length}")
             else:
                 first_length = 2
-                logger.warning(f"[{pair}] ⚠️ 未找到任何分类模型列，使用默认值: {first_length}")
-                # 调试：显示所有列名
-                logger.debug(f"[{pair}] 可用列: {list(dataframe.columns)[:10]}...")
+                # 只在首次或特定条件下显示警告
+                if not hasattr(self, '_classification_warning_shown'):
+                    logger.warning(f"[{pair}] ⚠️ 未找到分类模型列，使用默认值: {first_length}")
+                    self._classification_warning_shown = True
+                else:
+                    logger.debug(f"[{pair}] 未找到分类模型列，使用默认值: {first_length}")
                 
             # 根据 first_length 动态调整其他段长
             second_length = first_length * 3