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alert_me.py
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# -*-coding=utf-8-*-
# 估价达到自己的设定值,发邮件通知, 每天2.45发邮件
import tushare as ts
from setting import get_engine, trading_time, llogger, is_holiday, get_mysql_conn
import datetime
import time
import pandas as pd
import numpy as np
import os
dirname = os.path.dirname(__file__)
full_name = os.path.join(dirname, 'log/alert_me_{}.log'.format(datetime.date.today()))
logger = llogger(full_name)
# 循环检测时间
LOOP_TIME = 60
EXECEPTION_TIME = 20
MARKET_OPENING = 0
# ALERT_PERCENTAGE = 3
DELTA_TIME = 30
ZG_ALERT_PERCENT = 5
ZZ_ALERT_PERCENT = 4
CW_ALERT_PERCENT=-5
DIFF_DELTA_TIME=30
# ALERT_PERCENT_POOL = 3
DIFF_V = 40 # quote 接口以千为单位
file = 'D:\OneDrive\Stock\gj_hold.xls'
# 可转债市场的监控 和 自选池
class ReachTarget():
def __init__(self):
self.engine = get_engine('db_stock')
self.api = ts.get_apis()
# python3 这个返回的不是list,需要手工转换
# self.kzz_code_list = list(self.stocks.keys())
# pool_code,pool_name=self.stock_pool()
# self.pool_dict = dict(zip(pool_code,pool_name))
# self.pool_list= list(self.pool_dict.keys())
# 添加一部分持仓数据 或者 监测仓
# self.df = pd.read_table(file, encoding='gbk', dtype={'证券代码': np.str})
# try:
# del self.df['Unnamed: 15']
# except Exception as e:
# logger.error(e)
# logger.error('删除多余列失败')
#
# code_list = list(self.df['证券代码'].values)
#
# # 移除非法证券代码 中签
# t = [code_list.remove(i) for i in code_list.copy() if i.startswith('7') or i[:2] == '07']
#
# self.code_lists=code_list
def all_bond_market(self):
self.kzz_code, self.kzz_name, self.zg_code, self.name, self.yjl = self.zg_bond()
self.kzz_stocks = dict(zip(self.kzz_code, self.kzz_name))
self.zg_stocks = dict(zip(self.zg_code, self.name))
self.kzz_stocks_yjl = dict(zip(self.kzz_code, self.yjl))
self.zg_stocks_yjl = dict(zip(self.zg_code, self.yjl))
return (
self.kzz_stocks,
self.zg_stocks,
self.kzz_stocks_yjl,
self.zg_stocks_yjl)
# 数据库获取模拟股，这个要废弃
def stock_pool(self):
pool_table = 'tb_current_hold'
pool_df = pd.read_sql(pool_table, self.engine, index_col='index')
return list(pool_df['代码'].values), list(pool_df['名字'].values)
# 判断市场
def identify_market(self,x):
if x.startswith('3') or x.startswith('6') or x.startswith('0'):
return False
else:
return True
# 获取当前持仓个股
def get_current_position(self):
engine = get_engine('db_position')
df = pd.read_sql('tb_position_2019-06-17', con=engine)
# 只关注可转债
df=df[df['证券代码'].map(self.identify_market)]
kzz_stocks = dict(zip(list(df['证券代码'].values), list(df['证券名称'].values)))
cons = get_mysql_conn('db_stock', 'local')
cursor = cons.cursor()
query_cmd = 'select 正股代码,正股名称,溢价率 from tb_bond_jisilu where 可转债代码=%s'
zg_stocks = {}
kzz_yjl = {}
zg_yjl = {}
for code in kzz_stocks:
cursor.execute(query_cmd, (code))
ret = cursor.fetchone()
if ret:
zg_stocks[ret[0]] = ret[1]
kzz_yjl[code] = ret[2]
zg_yjl[ret[0]] = ret[2]
# 可转债代码
# dict,dict,dict,dict
return (kzz_stocks, zg_stocks, kzz_yjl, zg_yjl)
# 获取市场所有可转债数据个股代码 正股
def zg_bond(self):
bond_table = 'tb_bond_jisilu'
try:
jsl_df = pd.read_sql(bond_table, self.engine)
except Exception as e:
logger.info(e)
return [], [], [], [], []
else:
return list(jsl_df['可转债代码']), list(jsl_df['可转债名称']), list(jsl_df['正股代码'].values), \
list(jsl_df['正股名称'].values), list(jsl_df['溢价率'].values)
# 可转债的监测
def monitor(self,total_market=True):
'''
total_market 默认监控全市场 total_market = True
'''
if total_market:
(kzz_stocks, zg_stocks, kzz_yjl, zg_yjl) = self.all_bond_market()
else:
(kzz_stocks, zg_stocks, kzz_yjl, zg_yjl) = self.get_current_position()
zg_code = list(zg_stocks.keys())
kzz_code = list(kzz_stocks.keys())
self.has_sent_kzz = dict(zip(kzz_code, [datetime.datetime.now()] * len(kzz_code)))
self.has_sent_diff = dict(zip(kzz_code, [datetime.datetime.now()] * len(kzz_code)))
self.has_sent_zg = dict(zip(zg_code, [datetime.datetime.now()] * len(zg_code)))
while 1:
current = trading_time()
if current == MARKET_OPENING:
self.get_realtime_info(kzz_code, self.has_sent_kzz, '转债', kzz_stocks, kzz_yjl,
ZZ_ALERT_PERCENT)
self.get_realtime_info(zg_code, self.has_sent_zg, '正股', zg_stocks, zg_yjl,
ZG_ALERT_PERCENT)
self.get_price_diff(codes=kzz_code, has_sent_=self.has_sent_diff, types='差价',kzz_stocks=kzz_stocks,kzz_stocks_yjl=kzz_yjl)
time.sleep(LOOP_TIME)
elif current == -1:
time.sleep(LOOP_TIME)
elif current == 1:
try:
ts.close_apis(self.api)
except Exception as e:
logger.info('fail to stop monitor {}'.format(datetime.datetime.now()))
logger.info(e)
exit(0)
# 获取实时报价
def get_realtime_info(self, codes, has_sent, types, stock, yjl, percent):
try:
price_df = ts.quotes(codes, conn=self.api)
except Exception as e:
logger.error('获取可转债异常 >>>> {}'.format(e))
try:
self.api = ts.get_apis()
except Exception as e:
logger.error('异常中存在异常{}'.format(e))
time.sleep(EXECEPTION_TIME)
else:
if len(price_df) != 0:
price_df = price_df[price_df['cur_vol'] != 0]
price_df['percent'] = (price_df['price'] - price_df['last_close']) / price_df[
'last_close'] * 100
price_df['percent'] = price_df['percent'].map(lambda x: round(x, 2))
ret_dt = \
price_df[
(price_df['percent'] > percent) | (price_df['percent'] < -1 * percent)][
['code', 'price', 'percent']]
if len(ret_dt) > 0:
# 提醒一次后，下一次的间隔为DELTA_TIME分钟后
# sent_list = []
for i in ret_dt['code']:
if has_sent[i] <= datetime.datetime.now():
name_list = []
yjl_list = []
name_list.append(stock[i])
yjl_list.append(yjl[i])
has_sent[i] = datetime.datetime.now() + datetime.timedelta(minutes=DELTA_TIME)
ret_dt1 = ret_dt[ret_dt['code'] == i]
ret_dt1['名称'] = name_list
ret_dt1['溢价率'] = yjl_list
name = ret_dt1['名称'].values[0]
price = ret_dt1['price'].values[0]
percent = ret_dt1['percent'].values[0]
yjl_v = ret_dt1['溢价率'].values[0]
now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
content0 = '{t}\n{name}:价格:{price} 涨幅:{percent},溢价率:{yjl}'.format(name=name, price=price,
percent=percent,
yjl=yjl_v, t=now)
logger.info(content0)
try:
wechat.send_content(content0)
except Exception as e:
logger.info('发送微信失败')
logger.info(e)
# 获取差价 可转债
def get_price_diff(self, codes, has_sent_, types,kzz_stocks,kzz_stocks_yjl):
# 针对可转债
try:
df = ts.quotes(codes, conn=self.api)
except Exception as e:
logger.error('获取可转债异常 >>>> {}'.format(e))
try:
self.api = ts.get_apis()
except Exception as e:
logger.error('异常中存在异常{}'.format(e))
time.sleep(EXECEPTION_TIME)
else:
df['bid1'] = df['bid1'].astype(float)
df['ask1'] = df['ask1'].astype(float)
df['diff'] = np.abs(df['bid1'] - df['ask1'])
result = df[df['diff'] >= DIFF_V]
if result.empty:
# continue
return
else:
for j in result['code']:
if has_sent_[j] <= datetime.datetime.now():
has_sent_[j] = datetime.datetime.now() + datetime.timedelta(minutes=DIFF_DELTA_TIME)
name_list = []
yjl_list = []
name_list.append(kzz_stocks[j])
yjl_list.append(kzz_stocks_yjl[j])
ret_dt1 = result[result['code'] == j]
ret_dt1['名称'] = name_list
ret_dt1['溢价率'] = yjl_list
# ret_dt1 = ret_dt1.set_index('code', drop=True)
code = j
name = ret_dt1['名称'].values[0]
price = ret_dt1['price'].values[0]
bid = ret_dt1['bid1'].values[0]
ask = ret_dt1['ask1'].values[0]
diff = round(ret_dt1['diff'].values[0], 2)
now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
content0 = '{t}\n{code}::{name}:价格:{price} 买1:{bid} 卖1:{ask}差价:{diff}'.format(code=code,
name=name,
price=price,
bid=bid, ask=ask,
diff=diff, t=now)
logger.info(content0)
try:
wechat.send_content(content0)
except Exception as e:
logger.info('发送微信失败')
logger.info(e)
if __name__ == '__main__':
if is_holiday():
logger.info('Holiday')
exit(0)
# 周末的时候不登录微信
from setting import WechatSend
#
wechat = WechatSend('wei')
logger.info('{} 开始实时行情爬取'.format(datetime.date.today()))
obj = ReachTarget()
obj.monitor()