From 6b99c1484dc96092be8c59e43aa485267766a0ba Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期二, 26 九月 2023 16:56:18 +0800
Subject: [PATCH] BUG修复

---
 code_attribute/code_nature_analyse.py |   36 ++++++++++++++++++++++++++++++++++--
 1 files changed, 34 insertions(+), 2 deletions(-)

diff --git a/code_attribute/code_nature_analyse.py b/code_attribute/code_nature_analyse.py
index 709c37c..cee4869 100644
--- a/code_attribute/code_nature_analyse.py
+++ b/code_attribute/code_nature_analyse.py
@@ -25,7 +25,7 @@
     # 淇濆瓨K绾垮舰鎬�
     @classmethod
     def save_k_format(cls, code, k_format):
-        RedisUtils.setex(cls.__get_redis(),f"k_format-{code}", tool.get_expire(), json.dumps(k_format))
+        RedisUtils.setex(cls.__get_redis(), f"k_format-{code}", tool.get_expire(), json.dumps(k_format))
 
     @classmethod
     def get_k_format(cls, code):
@@ -49,7 +49,7 @@
     # 淇濆瓨鑲℃��
     @classmethod
     def save_nature(cls, code, natures):
-        RedisUtils.setex(cls.__get_redis(),f"code_nature-{code}", tool.get_expire(), json.dumps(natures))
+        RedisUtils.setex(cls.__get_redis(), f"code_nature-{code}", tool.get_expire(), json.dumps(natures))
 
     @classmethod
     def get_nature(cls, code):
@@ -132,6 +132,38 @@
     return 0, ''
 
 
+# 鏄惁娑ㄥ緱澶珮
+def is_up_too_high(record_datas):
+    datas = copy.deepcopy(record_datas)
+    datas.sort(key=lambda x: x["bob"])
+    datas = datas[-10:]
+    limit_ups = []
+    limit_up_count = 0
+    for data in datas:
+        limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(data["pre_close"]))
+        date = data['bob'].strftime("%Y-%m-%d")
+        if abs(limit_up_price - data["high"]) < 0.01:
+            limit_ups.append((date, True))
+            limit_up_count += 1
+        else:
+            limit_ups.append((date, False))
+
+    if limit_up_count < 3:
+        return False
+    # 杩炵画5澶╂湁3澶╂定鍋�
+    for i in range(len(limit_ups)):
+        if i + 5 > len(limit_ups):
+            break
+        temp_datas = limit_ups[i:i + 5]
+        t_count = 0
+        for t in temp_datas:
+            if t[1]:
+                t_count += 1
+        if t_count >= 3:
+            return True
+    return False
+
+
 # 鏄惁鏈夋定鍋�
 def get_first_limit_up_count(datas):
     datas = copy.deepcopy(datas)

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