From 89f860904270b6cdc20b5e7e90a7c12b5b2bf8e3 Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期五, 25 四月 2025 09:53:15 +0800
Subject: [PATCH] bug修复
---
code_attribute/code_nature_analyse.py | 16 +++++++++-------
1 files changed, 9 insertions(+), 7 deletions(-)
diff --git a/code_attribute/code_nature_analyse.py b/code_attribute/code_nature_analyse.py
index 269b26a..bedeea1 100644
--- a/code_attribute/code_nature_analyse.py
+++ b/code_attribute/code_nature_analyse.py
@@ -9,7 +9,7 @@
from code_attribute import gpcode_manager
# 浠ｇ爜鑲℃�ц褰曠鐞�
-from db import redis_manager
+from db import redis_manager_delegate as redis_manager
from utils import tool
from db.redis_manager_delegate import RedisUtils
from utils.tool import CodeDataCacheUtil
@@ -404,7 +404,8 @@
# if max_price > float(limit_up_price):
# return False
rate = (float(limit_up_price) - min_price_info[1]["close"]) / min_price_info[1]["close"]
- if rate >= 0.319:
+ THRESHOLD_RATE = 0.319 * 2 if tool.is_ge_code(code) else 0.319
+ if rate >= THRESHOLD_RATE:
return True, rate
return False, rate
@@ -471,7 +472,7 @@
def __is_new_top(code, limit_up_price, datas):
datas = copy.deepcopy(datas)
datas.sort(key=lambda x: x["bob"])
- datas = datas[-80:]
+ datas = datas[-60:]
max_price = 0
for data in datas:
if max_price < data["high"]:
@@ -559,8 +560,9 @@
items = datas[0 - day_count:]
for item in items:
limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
- if abs(limit_up_price - item["high"]) < 0.001 and abs(limit_up_price - item["close"]) > 0.001:
- # 鐐告澘
+ limit_down_price = float(gpcode_manager.get_limit_down_price_by_preprice(code, item["pre_close"]))
+ if abs(limit_up_price - item["high"]) < 0.001 or abs(limit_down_price - item["close"]) < 0.001:
+ # 鐐告澘 # 鎴栨定鍋� # 鎴栬�呰穼鍋�
return True
return False
@@ -591,8 +593,8 @@
for item in items:
# 鏄惁鏈夎穼鍋�
# 鑾峰彇褰撴棩娑ㄥ箙
- rate = (item["close"] - item["pre_close"])/item["pre_close"]
- threshold_rate_ = round(0 - ((1 - tool.get_limit_down_rate(code))*0.9), 2)
+ rate = (item["close"] - item["pre_close"]) / item["pre_close"]
+ threshold_rate_ = round(0 - ((1 - tool.get_limit_down_rate(code)) * 0.9), 2)
if rate < threshold_rate_:
return True
return False
--
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