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682 lines (568 loc) · 26 KB
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import os
import sys
cpath_current = os.path.dirname(os.path.dirname(__file__))
sys.path.append(cpath_current)
import akshare as ak
from utils import *
import requests as rq
import os
import pandas as pd
from datetime import timedelta
from hot_stock import *
import time
from lhb import yyb_stocks2stock_yybs
import pandas as pd
# from rich.console import Console
# from rich.table import Table
# from rich.live import Live
# import select # 确保导入 select 模块
# import keyboard
import tkinter as tk
# import pandastable
from pandastable import Table as Table2
# import pandas as pd
# from tkinter import ttk
import ttkbootstrap as ttk
# from ttkbootstrap.constants import *
import warnings
from zhangting import LimitUpPool,DataFramePretty
# from utils import closest_trade_date
from PIL import Image, ImageTk
import webbrowser
from jin10tab import Jin10App
warnings.filterwarnings('ignore')
pd.set_option('future.no_silent_downcasting', True)
def on_mouse_wheel(event, canvas):
# Windows 和 Linux 使用滚轮向上/向下事件
if event.delta:
canvas.yview_scroll(int(-1 * (event.delta / 120)), "units")
else:
# 对于 macOS 系统,event.num 是鼠标滚轮方向
if event.num == 5:
canvas.xview_scroll(1, "units")
elif event.num == 4:
canvas.xview_scroll(-1, "units")
def update_data(date, attention, stock_cache_lst, dfp, poll_interval, code_name_df, indicator_lst, stop_event,pt):
"""
更新数据的线程函数。
"""
while not stop_event.is_set():
stock_cache = stock_cache_lst[0] #获得历史数据
stock_data = LimitUpPool().get_data_df_fcb(date, save=0) #获得当前数据
#数据处理
stock_data.drop("分时预览", axis=1, inplace=True)
stock_data = pd.merge(stock_data, code_name_df, on="代码", how="left", suffixes=("", "_y"))
stock_new = pd.merge(stock_data, stock_cache, on="代码", how="left", suffixes=("", "_y"))
for indicator in indicator_lst:
new_col = round((stock_new[indicator] - stock_new[indicator + "_y"]) / stock_new[indicator + "_y"], 4) * 100
new_col = new_col.apply(lambda x: str(x) + "%")
stock_data[indicator + "_change"] = new_col
# print(stock_data[indicator + "_change"])
#处理完毕更新历史数据
stock_cache_lst[0] = stock_data.copy()
dfp.data = stock_data.copy() #跟新dfp的数据
print("updating zhangting data !!")
pt.model.df = stock_data
pt.redraw()
# i += 1
time.sleep(poll_interval)
def start_update(stop_event, update_thread):
"""开始更新数据"""
stop_event.clear()
update_thread.start()
def stop_update(stop_event):
"""停止更新数据"""
stop_event.set()
print("stop zhangting data !")
def start_track_stock_changes_qt():
"""
跟踪股票变化。
"""
print("start_track_stock_changes_qt")
date = date_entry.get()
attention = None
indicator_lst = ["封单额"]
poll_interval = int(duration_entry.get())
code_name_df, _ = get_code_name()
if attention:
code_name_df = code_name_df[code_name_df["code"].isin(attention)]
#初始化
code_name_df = code_name_df.rename(columns={"code": "代码", "name": "名称"})
stock_cache = LimitUpPool().get_data_df_fcb(date, save=0)
stock_cache.drop("分时预览", axis=1, inplace=True)
stock_cache = pd.merge(stock_cache, code_name_df, on="代码", how="left", suffixes=("", "_y"))
dfp = DataFramePretty(stock_cache)
stock_cache_lst = [stock_cache]
pt = Table2(table_frame, dataframe=dfp.data, showtoolbar=True, showstatusbar=True,
width=1080,height=520)
pt.show()
# 启动数据更新线程
update_thread = threading.Thread(target=update_data,
args=(date, attention,
stock_cache_lst,
dfp,
poll_interval,
code_name_df,
indicator_lst,
stop_event,
pt))
update_thread.daemon = True
# update_thread.start()
start_update(stop_event,update_thread)
print("updating thread started!")
if __name__ == "__main__":
#####################################################################
#global variable
stop_event = threading.Event()
nearest_trade_date = closest_trade_date()
#####################################################################
#start tkinter
# root = tk.Tk() #创建window
root = ttk.Window(themename="yeti")
style = ttk.Style()
#设置自己需要的配置
style.configure('Custom.TLabel',
background='yellow', # 设置背景颜色
foreground='black', # 设置前景(文本)颜色
padding=10)
theme_names = style.theme_names()#以列表的形式返回多个主题名
print("themes: ",theme_names)
wwidth = 1480 #1080
wheight = 820 #780
root.geometry(f"{wwidth}x{wheight}")
# 将窗口放置在屏幕中央
screen_width = root.winfo_screenwidth() # 获取屏幕宽度
screen_height = root.winfo_screenheight() # 获取屏幕高度
x = (screen_width - wwidth ) // 2
y = (screen_height - wheight ) // 2
root.geometry(f"{wwidth}x{wheight}+{x}+{y}")
# root.resizable(False, False) # 禁止窗口伸缩
root.title('myStock')
frame = tk.Frame(root) #创建frame
frame.pack(fill='both', expand=True)
#####################################################################
#自定义notebook
# notebook = MultiRowNotebook(frame)
notebook = ttk.Notebook(frame,bootstyle=ttk.SUCCESS) # 绑定notebook到frame上
notebook.pack(fill='both', expand=True) #填充方式
if "html":
# 创建一个选项卡并将 Jin10App 的内容添加到选项卡中
news_frame = tk.Frame(notebook)
notebook.add(news_frame, text="新闻直播")
# 初始化 Jin10App 并将其绑定到 Notebook 的选项卡中
app = Jin10App(news_frame)
#通用tab模板
# 添加滚动条
canvas = tk.Canvas(notebook)
scrollbar = ttk.Scrollbar(frame, orient="horizontal", command=canvas.xview)
scrollbar.pack(side="bottom", fill="x")
canvas.config(xscrollcommand=scrollbar.set)
tabs_cn = ["涨停池[实时]", "东财板块总体[实时]", "东财板块成分",
"ths板块趋势[实时]", "ths板块个股趋势[实时]", "选股",
"龙虎榜和营业部", "今日涨停池[+龙虎榜信息]", "关注列表",
"关注控盘", "关注列表-今日K线"]
tab_frame_list = []
for tab_name in tabs_cn:
tab_frame = ttk.Frame(notebook)
tab_frame_list.append(tab_frame)
notebook.add(tab_frame, text=tab_name)
# 自定义样式
style = ttk.Style()
style.configure('TNotebook.Tab', font=('Arial', 12)) # 设置选项卡字体大小
#####################################################################
if 1 :
# tab1 = ttk.Frame(notebook)
# notebook.add(tab1, text="涨停池[实时]")
tab1 = tab_frame_list[0]
duration_label = tk.Label(tab1, text="间隔时间: ",justify="right")
date_label = tk.Label(tab1, text="日期: ",justify="right")
# 创建输入框
date_var = tk.StringVar()
# date = time.strftime("%Y%m%d")
date_var.set(nearest_trade_date)
date_entry = tk.Entry(tab1, textvariable=date_var)
# 创建输入框,数据类型是int,预填值为100
duration_var = tk.IntVar()
duration_var.set(1)
duration_entry = tk.Entry(tab1,textvariable=duration_var)
start_button = ttk.Button(tab1, text="start",
command=lambda: threading.Thread(target=start_track_stock_changes_qt).start())
stop_button = ttk.Button(tab1, text="stop",
command=lambda: stop_update(stop_event))
date_label.grid(row=0, column=0,sticky="E",pady=5) # 行和列从0开始计数
date_entry.grid(row=0, column=1,sticky="E",columnspan=2)
duration_label.grid(row=1, column=0,sticky="E",pady=5,) # 行和列从0开始计数
duration_entry.grid(row=1, column=1,sticky=tk.E,columnspan=2)
start_button.grid(row=2, column=1,ipadx=30) # 行和列从0开始计数,columnspan使按钮跨越两列
stop_button.grid(row=2, column=2,ipadx=30)
table_frame = tk.Frame(tab1,
bg="green",
)
table_frame.place(x=20,y=150)
# table_frame.pack(side="top", fill="both", expand=True)
if 5:
tab5 = tab_frame_list[1] #board名录
# notebook.add(tab5, text="东财板块总体[实时]")
from utils import is_now_open,is_now_break
def f5():
while 1:
if is_now_open():
if not is_now_break():
stock_board_industry_name_em_df = ak.stock_board_industry_name_em()
pt5.model.df = stock_board_industry_name_em_df.copy()
pt5.redraw()
#3.5s更新一次
print("updating 板块总体!")
else:
pass
time.sleep(3.5)
#初始化
stock_board_industry_name_em_df = ak.stock_board_industry_name_em()
pt5 = Table2(tab5, dataframe=stock_board_industry_name_em_df, showtoolbar=True, showstatusbar=True,
)
# tab6.pack(fill="both", expand=True)
pt5.show()
thread5 = threading.Thread(target=f5)
thread5.damon = True
thread5.start()
if 6:
def f6():
print("start 板块个股 ")
bankuai_str = bankuai_var.get()
stock_board_industry_cons_em_df = ak.stock_board_industry_cons_em(symbol=bankuai_str)
pt6 = Table2(tab_frame6, dataframe=stock_board_industry_cons_em_df, showtoolbar=True, showstatusbar=True,
)
pt6.show()
#添加tab frame
tab6 = tab_frame_list[2]
# notebook.add(tab6, text="东财板块成分")
#添加entry和绑定变量
bankuai_var = tk.StringVar()
bankuai_var.set("消费电子")
bankuai_entry = tk.Entry(tab6, textvariable=bankuai_var)
bankuai_entry.pack()
update_button6 = ttk.Button(tab6,
text="start",
command=lambda:threading.Thread(target=f6).start())
update_button6.pack()
tab_frame6 = tk.Frame(tab6) # 创建一个table容器
tab_frame6.pack(fill='both', expand=True)
if 9:
def on_cell_click(event, table):
# 获取点击的行号
row_clicked = table.get_row_clicked(event)
col_clicked = table.get_col_clicked(event)
col_name = table.model.df.columns[col_clicked]
if col_name == 'code':
cell_value = table.model.getValueAt(row_clicked, col_clicked)
url = f"https://q.10jqka.com.cn/thshy/detail/code/{str(int(cell_value))}/"
if url:
# 打开网页
webbrowser.open(url)
else:
print("No URL found for this row")
def dapan():
print("start dapan !!!")
from hot_stock import earn_money_xiaoying
from zhangting import Continuous_limit_up,BlockTop
emx = pd.DataFrame(earn_money_xiaoying())
pt91.model.df = emx
pt91.redraw()
#######
js_data = Continuous_limit_up().get_data_json(date=nearest_trade_date,filt=1)
t = js_data["data"]
t_name = t["trade_status"]["name"]
t_data = pd.DataFrame(t["limit_up_count"]).reset_index()
#update table
pt92.model.df = t_data
# mask = df['A'] > 4
# mask = t_data["today"] > t_data["yesterday"]
# pt92.setColorByMask('today', mask, 'red')
# pt92.setColorByMask('today', ~mask, 'green')
pt92.redraw()
#############
bt = BlockTop().get_data_df(date=nearest_trade_date,filt=1).drop("stock_list",axis=1)
#update table
pt93.model.df = bt
# 绑定单击事件到表格
pt93.bind("<Button-1>", lambda event: on_cell_click(event, pt93))
pt93.columncolors['code'] = 'yellow'
pt93.redraw()
########
while str(t_name) == "交易中":
print(" 大盘趋势循环更新")
emx = pd.DataFrame(earn_money_xiaoying())
js_data = Continuous_limit_up().get_data_json(date=nearest_trade_date,filt=1)
t =js_data["data"]
t_name = t["trade_status"]["name"]
t_data = pd.DataFrame(t["limit_up_count"]).reset_index()
bt = BlockTop().get_data_df(date=nearest_trade_date,filt=1).drop("stock_list",axis=1)
pt91.model.df = emx
pt92.model.df = t_data
pt93.model.df = bt
pt91.redraw()
# mask = t_data["today"] > t_data["yesterday"]
# # mask = df['A'] > 4
# pt92.setColorByMask('today', mask, 'red')
# pt92.setColorByMask('today', ~mask, 'green')
pt92.redraw()
pt93.redraw()
time.sleep(3)
tab9 = tab_frame_list[3]
# notebook.add(tab9, text="ths板块趋势[实时]")
button_9 = ttk.Button(tab9,
text="start",
command=lambda:threading.Thread(target=dapan).start())
# button_9.pack()
button_9.grid(row=0, column=0, pady=(5, 0))
# 定义自定义样式并设置背景颜色
label_9 = ttk.Label(tab9,
style='Custom.TLabel',
text="提示!:点击黄色单元格可以跳转到同花顺网页看板块信息!")
label_9.grid(row=0, column=1, pady=(5, 0),sticky=tk.W)
table_frame91 = ttk.Frame(tab9)
table_frame92 = ttk.Frame(tab9)
table_frame93 = ttk.Frame(tab9)
pt91 = Table2(table_frame91,
dataframe=pd.DataFrame(),
showtoolbar=True,
showstatusbar=True,
)
pt91.show()
pt92 = Table2(table_frame92,
dataframe=pd.DataFrame(),
showtoolbar=True,
showstatusbar=True,
)
# options = {'colheadercolor':'green','floatprecision': 5}
# pandastable.config.apply_options(options, pt92)
pt92.show()
pt93 = Table2(table_frame93,
dataframe=pd.DataFrame(),
showtoolbar=True,
showstatusbar=True,
)
pt93.show()
# 使用 grid 布局来分配表格位置
table_frame91.grid(row=1, column=0, sticky='nsew')
table_frame92.grid(row=1, column=1, sticky='nsew')
table_frame93.grid(row=2, column=0, columnspan=2, sticky='nsew')
# 设置列和行权重以适应窗口变化
tab9.columnconfigure(0, weight=1)
tab9.columnconfigure(1, weight=1)
tab9.rowconfigure(1, weight=12) #奇怪
tab9.rowconfigure(2, weight=1)
if 11:
from zhangting import BlockTop,Continuous_limit_up
def f11_1(blocks):
t = []
for block in blocks:
t.extend(block["stock_list"])
t = pd.DataFrame(t)
t["first_limit_up_time"] = t["first_limit_up_time"].map(int).map(datetime.fromtimestamp)
t["last_limit_up_time"] = t["last_limit_up_time"].map(int).map(datetime.fromtimestamp)
return t
def dapan_chengfengu():
print("start 同花顺热点板块成分股 !")
bt = BlockTop().get_data_json(date=nearest_trade_date,filt=1)["data"]
bt = f11_1(bt)
pt11.model.df = bt
pt11.redraw()
js_data = Continuous_limit_up().get_data_json(date=nearest_trade_date,filt=1)
t = js_data["data"]
t_name = t["trade_status"]["name"]
while str(t_name) == "交易中":
print(" 热点板块个股循环更新")
js_data = Continuous_limit_up().get_data_json(date=nearest_trade_date,filt=1)
t =js_data["data"]
t_name = t["trade_status"]["name"]
bt = BlockTop().get_data_json(date=nearest_trade_date,filt=1)["data"]
bt = f11_1(bt)
pt11.model.df = bt
pt11.redraw()
time.sleep(3)
tab11 = tab_frame_list[4]
# notebook.add(tab11, text="ths板块个股趋势[实时]")
button_11 = ttk.Button(tab11,
text="start",
command=lambda:threading.Thread(target=dapan_chengfengu).start())
button_11.pack()
table_frame11 = ttk.Frame(tab11)
table_frame11.pack(fill='both', expand=True)
pt11 = Table2(table_frame11,
dataframe=pd.DataFrame(),
showtoolbar=True,
showstatusbar=True,
)
pt11.show()
if 8:
from hot_stock import getTodayStock
def get_stock_selection_df():
print("start stock selection!")
stock_selection_df = getTodayStock(save=0)
pt8.model.df = stock_selection_df
pt8.redraw()
tab8 = tab_frame_list[5]
# notebook.add(tab8, text="选股")
start_button_8 = ttk.Button(tab8,
text="start",
command=lambda:threading.Thread(target=get_stock_selection_df).start())
start_button_8.pack()
tab_frame8 = tk.Frame(tab8)
tab_frame8.pack(fill='both', expand=True)
pt8 = Table2(tab_frame8,
dataframe=pd.DataFrame(),
showtoolbar=True,
showstatusbar=True,
)
pt8.show()
if 3:
def f3():
print("start stock2yyb")
from lhb import yyb_stocks2stock_yybs
# from utils import getStrDate
# date = getStrDate(1)
# print(date)
##构建营业部和股票的关系图
# lhb_yyb_stock_daily_work(start_date="20240731", end_date="20240731")
youzi_file = os.path.join(os.path.dirname(__file__),"swim_cash3.json")
# stock2yyb = yyb_stocks2stock_yybs(date,youzi_file)
try:
stock2yyb = yyb_stocks2stock_yybs(nearest_trade_date,youzi_file)#可能没更新
except:
stock2yyb = pd.DataFrame()
pt3.model.df = stock2yyb
pt3.redraw()
tab3 = tab_frame_list[6]
# notebook.add(tab3, text="龙虎榜和营业部")
update_button3 = ttk.Button(tab3,
text="start",
command=lambda:threading.Thread(target=f3).start())
update_button3.pack()
tab_frame3 = tk.Frame(tab3) # 创建一个table容器
tab_frame3.pack(fill='both', expand=True)
pt3 = Table2(tab_frame3, dataframe=pd.DataFrame(), showtoolbar=True, showstatusbar=True,
)
pt3.show()
if 4:
def f4():
print("start today_limit_up_pool_detail_in_longhubang")
from zhangting import today_limit_up_pool_detail_in_longhubang
limit_up_detail,_ = today_limit_up_pool_detail_in_longhubang()
pt4.model.df = limit_up_detail
pt4.redraw()
tab4 = tab_frame_list[7]
# notebook.add(tab4, text="今日涨停池[+龙虎榜信息]")
update_button4 = ttk.Button(tab4,
text="start",
command=lambda:threading.Thread(target=f4).start())
update_button4.pack()
tab_frame4 = tk.Frame(tab4) # 创建一个table容器
tab_frame4.pack(fill='both', expand=True)
pt4 = Table2(tab_frame4, dataframe=pd.DataFrame(), showtoolbar=True, showstatusbar=True,
)
pt4.show()
if 7:
tab7 = tab_frame_list[8]
# notebook.add(tab7, text="关注列表")
from ATTENTION import ATTENTION
df = pd.DataFrame(ATTENTION)
df.columns = ["代码"]
pt7 = Table2(tab7, dataframe=df, showtoolbar=True, showstatusbar=True,
)
# tab6.pack(fill="both", expand=True)
pt7.show()
if 2:
def kongpan_qt():
print("start kongpan_attention")
data = kongpan_attention()
# stock_selection_df = getTodayStock(save=False)
# data = pd.merge(data[["代码","近来控盘比例趋势"]],
# stock_selection_df,
# left_on="代码",
# right_on="代码",
# how="left")
pt2 = Table2(tab_frame2, dataframe=data, showtoolbar=True, showstatusbar=True,
)
pt2.show()
from hot_stock import kongpan_attention
tab2 = tab_frame_list[9]
# notebook.add(tab2, text="关注控盘")
update_button2 = ttk.Button(tab2,
text="start",
command=lambda:threading.Thread(target=kongpan_qt).start())
update_button2.pack()
tab_frame2 = tk.Frame(tab2)
tab_frame2.pack(fill='both', expand=True)
if 10:
my_images = []
def f10():
images_folder = folder_var.get()
# 检查文件夹是否存在
if os.path.exists(images_folder):
# 如果存在,则删除文件夹
import shutil
shutil.rmtree(images_folder)
print(f"已删除并重新创建文件夹: {images_folder}")
os.makedirs(images_folder, exist_ok=True)
print(f"已创建文件夹: {images_folder}")
#业务逻辑
attention_kongpan(images_folder)
# # 清空img_frame
# for widget in img_frame.winfo_children():
# widget.destroy()
# 遍历文件夹中的图片
# row = 0
# column = 0
# max_columns = 3 # 每行最多展示3张图片
cols = 1
x_offset = 0
y_offset = 0
for i,img_path in enumerate(os.listdir(images_folder)):
row = i // cols
col = i % cols
if img_path.lower().endswith(('.png', '.jpg', '.jpeg')):
# 加载图片并调整大小
img = Image.open(os.path.join(images_folder, img_path))
if i == 0:
image_width = img.width
image_height = img.height
# 计算图片位置
x = x_offset + col * image_width
y = y_offset + row * image_height
img_tk = ImageTk.PhotoImage(img)
image_id = canvas.create_image(x, y, image=img_tk, anchor='nw')
my_images.append(img_tk)
# root.update_idletasks()
canvas.config(scrollregion=canvas.bbox("all"))
from utils import attention_kongpan
tab10 = tab_frame_list[10]
# notebook.add(tab10, text="关注列表-今日K线")
# 创建输入框
folder_var = tk.StringVar()
# date = time.strftime("%Y%m%d")
folder_var.set("trends")
folder_entry = tk.Entry(tab10, textvariable=folder_var)
# date_label = tk.Label(tab1, text="日期: ",justify="right")
folder_entry.pack()
button10 = ttk.Button(tab10,
text="start",
command=lambda:threading.Thread(target=f10).start())
button10.pack()
# 创建img_frame
img_frame = ttk.Frame(tab10)
img_frame.pack(fill='both', expand=True)
# 创建Canvas和vsb
canvas = tk.Canvas(img_frame, borderwidth=1, bg="#ffffff")
vsb = tk.Scrollbar(img_frame, orient=tk.VERTICAL, command=canvas.yview)
canvas.configure(yscrollcommand=vsb.set)
canvas.bind_all("<MouseWheel>", lambda event: on_mouse_wheel(event, canvas))
vsb.pack(side=tk.RIGHT, fill=tk.Y)
canvas.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
if 11:
from fenshitu_tab import get_bankuai_dapan_minute_trend,MatplotlibTab
# fig_bankuai = get_bankuai_dapan_minute_trend()
matplotlib_tab = MatplotlibTab(notebook,None,tab_name="HOT分时图")
pass
#####################################################################
root.mainloop()