stock1114

# encoding: utf-8
import requests
import logging
import logging.config
import random
import os
import yaml
import time
import threading
import re
import datetime
import json

class Observer(object):
    open_price_last_1 = ''
    close_price_last_1 = ''
    highest_price_last_1 = ''
    minimum_price_last_1 = ''
    ding_fen_xing = []
    di_fen_xing = []
    not_ding_di = []


    def __init__(self):
        self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36', 'Connection': 'close'}
        self.stop_flag = False
        self.potential_stock_list = self.get_potential_stock()
        #self.request_session = requests.session()

    def get_stock_data(self,stock_code,scale):
        """
        获取K 线数据
        :param stock_code: 代码
        :param scale: 级别
        :return: k线数据
        """
        #url = 'http://ifzq.gtimg.cn/appstock/app/kline/mkline?param=sh600030,m30,,320&_var=m30_today&r=0.1700474168906776'
        url = 'http://ifzq.gtimg.cn/appstock/app/kline/mkline'
        params = {
            'param':  '{},m{},,320'.format(stock_code,scale),
            '_var': 'm{}_today'.format(scale),
            'r': '0.1700474{}'.format("".join(random.choice("0123456789") for i in range(10)))
        }
        logging.info('url:%s \t params:%s',url,params)
        res = requests.get(url,params=params,headers=self.headers)
        res_str = res.content.decode('unicode_escape').rstrip()
        #logging.info('response:%s:',res_str)
        res_dict = eval(res_str[res_str.index("={")+1:res_str.index("}}}")+3])
        scale_data = res_dict['data'][stock_code]['m'+scale]
        #logging.info(scale_data)
        return scale_data


    def get_stock_code(self,a_type):
        """
        获取两市股票代码
        :param a_type: sh or sz
        :return: stock_code
        """
        #url = 'http://stock.gtimg.cn/data/index.php?appn=rank&t=rankash/chr&p=1&o=0&l=40&v=list_data'
        url = 'http://stock.gtimg.cn/data/index.php'
        params = {
            'appn': 'rank',
            't': 'ranka{}/chr'.format(a_type),
            'p': 1,
            'o': 0,
            'l': 3000,
            'v': 'list_data'
        }
        logging.info('url:%s \t params:%s', url, params)
        res = requests.get(url, params=params, headers=self.headers)
        res_str = res.content.decode('unicode_escape').rstrip()
        #logging.info('response:%s:',res_str)
        res_str_list = res_str[res_str.index("data:'") + 6:res_str.index("'}")].split(',')
        logging.info(res_str_list)
        return res_str_list


    def get_plate_data(self,stock_code):
        """
        获取盘中数据，如果出现大于80万的买单弹框提示
        :param stock_code:
        :return:
        """
        #url = 'http://web.sqt.gtimg.cn/q=sh601208?r=0.9884275211413494'
        url = 'http://web.sqt.gtimg.cn'
        params = {
            'q': stock_code,
             'r': '0.1700474{}'.format("".join(random.choice("0123456789") for i in range(10)))
        }
        logging.info('url:%s \t params:%s', url, params)
        res = requests.get(url, params=params, headers=self.headers)
        res_text = res.content.decode('GBK')
        logging.info('response:%s:',res_text.rstrip())
        plate_data = res_text.split('~')
        stock_name_this = plate_data[1]
        stock_code_this = plate_data[2]
        for list_data in plate_data:
            if '|' in list_data:
                plate_date_strike  = list_data.split('|')
                #logging.info(plate_date_strike )
                buy_list = []
                for plate_date_strike_detail in plate_date_strike:
                    if 'B' in plate_date_strike_detail :
                        buy_list.append(int(plate_date_strike_detail.split('/')[4]))
                logging.info(buy_list)
                if buy_list and max(buy_list) > 800000:
                    logging.info('%s %s 动了' % (stock_name_this, stock_code_this))
                    self.alert_msg('%s %s 动了' % (stock_name_this, stock_code_this))
                    #self.stop_flag = True
                    self.potential_stock_list.remove(stock_code)
                else:
                    logging.info('%s %s 没动' % (stock_name_this, stock_code_this))

    def get_potential_stock(self):
        potential_stock_list_new = []
        stock_codes = self.get_stock_code('sh') + self.get_stock_code('sz')
        logging.info(('stock_codes',stock_codes))
        stock_codes_length_div25 = int(len(stock_codes)/25)
        logging.info(stock_codes_length_div25)
        for stock_codes_length_div25_index in range(stock_codes_length_div25):
            logging.info(stock_codes_length_div25_index)
            if stock_codes_length_div25_index == stock_codes_length_div25 -1:
                req_str = ','.join(stock_codes[stock_codes_length_div25_index * 25:])
            else:
                req_str = ','.join(stock_codes[stock_codes_length_div25_index * 25:(stock_codes_length_div25_index + 1) * 25])
            url = 'http://qt.gtimg.cn/q=%s&r=9%s'%(req_str,''.join(str(i1) for i1 in random.sample(range(1,9),8)))
            logging.info(url)
            #res = requests.get(url, headers=self.headers)
            res = requests.session().get(url,headers=self.headers)
            res_str = res.content.decode('GBK').rstrip()
            stock_data_list = res_str.replace('\n','').split(';')
            for stock_data in stock_data_list:
                date_today = str(datetime.datetime.now()).split(' ')[0].replace('-','')
                day_rise_str_match = re.search(date_today + '(.*)?/',stock_data)
                logging.info(('day_rise_str_match',day_rise_str_match))
                if day_rise_str_match :
                    day_rise_str = day_rise_str_match.group(1)
                    day_rise_float = float(day_rise_str.split('~')[2])
                    logging.info(('day_rise_float',day_rise_float))
                    #当日涨幅在4%和7%之间
                    if day_rise_float >4.0 and day_rise_float < 7.0:
                        match_str = re.search('v_([s,h,z]{2}\d+)=.*',stock_data)
                        if match_str:
                            stock_code = match_str.group(1)
                            # n天内涨停次数 > 6
                            if self.get_n_days_limit_up_times(stock_code,250) > 6 :
                                potential_stock_list_new.append(stock_code)
            time.sleep(3)
        potential_stock_list_new = list(set(potential_stock_list_new))
        logging.info(('potential_stock_list_new',potential_stock_list_new))
        return potential_stock_list_new

    def is_potential_stock_list_changed(self):
        potential_stock_list_new = self.get_potential_stock()
        #如果交集等于并集则表示没有改变
        if set(potential_stock_list_new) & set(self.potential_stock_list) == set(potential_stock_list_new) | set(
                self.potential_stock_list):
            return False
        else:
            self.stop_flag = True
            return True

    def get_n_days_limit_up_times(self,stock_code,n):
        date_n_ago = str(datetime.datetime.now() - datetime.timedelta(days=n)).split(' ')[0]
        date_today = str(datetime.datetime.now()).split(' ')[0]
        rand_str = '0.1700474{}'.format("".join(random.choice("0123456789") for i in range(10)))
        url = 'http://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_dayqfq&param=%s,day,%s,%s,320,qfq&r=%s'%(stock_code,date_n_ago,date_today,rand_str)
        res = requests.get(url, headers=self.headers)

        res_str = res.content.decode('unicode_escape').rstrip().replace('kline_dayqfq=','')
        logging.info(res_str)
        logging.info(stock_code)
        #res_dict = json.loads(res_str)
        #day_kline_data = res_dict.get('data').get(stock_code).get('day')
        day_kline_data_match = re.search('\[\[(.*)?\]\]',res_str)
        if day_kline_data_match :
            day_kline_data_match_str = day_kline_data_match.group(1)
            day_kline_data_match_str = day_kline_data_match_str.replace('"','')
            day_kline_data = day_kline_data_match_str.split('],[')
            logging.info(day_kline_data)
            limit_up_times = 0
            for i in range(len(day_kline_data)-1):
                if float(day_kline_data[i+1].split(',')[2])/float(day_kline_data[i].split(',')[2]) > 1.095 :
                    limit_up_times = limit_up_times +1
        return limit_up_times

    def monitor_start(self):
        #self.stop_flag = False
        for monitor_stock in self.potential_stock_list:
            m = MonitorThread(monitor_stock,self)
            m.start()

    def alert_msg(self,msg):
        commond = 'msg * %s'%msg
        os.system(commond)

class MonitorThread(threading.Thread):
    def __init__(self,stock_code,observer):
        threading.Thread.__init__(self)
        self.name = stock_code
        self.stock_code = stock_code
        self.observer = observer

    def run(self):
        logging.info(self.name + '监控开始...')
        while 1:
            self.observer.get_plate_data(self.stock_code)
            if self.observer.stop_flag :
                break
            if self.observer.is_potential_stock_list_changed():
                Observer().monitor_start()
                break
            time.sleep(5)
        logging.info(self.name + '监控结束!')

if __name__ == '__main__':
    path = 'logging.yaml'
    value = os.getenv('LOG_CFG', None)
    if value:
        path = value
    if os.path.exists(path):
        with open(path, "r") as f:
            config = yaml.load(f)
            logging.config.dictConfig(config)
    else:
        print('log config file not found!')

    # monitor_list = ['sh603590','sz300702']
    # for stock_code in monitor_list:
    #     thread_a = MonitorThread(stock_code)
    #     thread_a.start()
    # o = Observer()
    # code_list_sh = o.get_stock_code('sh')
    # code_list_sz = o.get_stock_code('sz')
    # code_list = code_list_sh + code_list_sz
    # code_list_keguanzhu = []
    # for stock_code in code_list:
    #     m30_data = o.get_stock_data(stock_code, '30')
    #     #倒数第二个k线最低点是最后三根k线最低点中最低且最后一根k线收盘价高于中间一个k线的最高价
    #     if min(float(m30_data[-1][4]), float(m30_data[-2][4]), float(m30_data[-3][4])) == float(m30_data[-2][4]) and float(m30_data[-1][2]) > float(m30_data[-2][3]):
    #         logging.info('%s可以关注'%stock_code)
    #         code_list_keguanzhu.append(stock_code)
    # logging.info('可关注的%d个票:%s'%(len(code_list_keguanzhu),str(code_list_keguanzhu)))
    Observer().monitor_start()
    # a,b,c='aa,bb,cc'.split(',')
    # print((a,b,c))