data-service/getHist_zhaiquanData.py

# -*- coding:utf-8 -*-

__author__ = 'weijie'

from EmQuantAPI import *
import datetime
import time
import traceback
from StockPojo import StockPojo
from StockHistPojo import StockHistPojo
from dbOperation import dbOperation
import pandas as pd
import json
import array
import db_config


print("开始了")
def mainCallback(quantdata):
    """
    mainCallback 是主回调函数，可捕捉如下错误
    在start函数第三个参数位传入，该函数只有一个为c.EmQuantData类型的参数quantdata
    :param quantdata:c.EmQuantData
    :return:
    """
    print ("mainCallback",str(quantdata))
    print("开始了2222")
    #登录掉线或者 登陆数达到上线（即登录被踢下线） 这时所有的服务都会停止
    if str(quantdata.ErrorCode) == "10001011" or str(quantdata.ErrorCode) == "10001009":
        print ("Your account is disconnect. You can force login automatically here if you need.")
    #行情登录验证失败（每次连接行情服务器时需要登录验证）或者行情流量验证失败时，会取消所有订阅，用户需根据具体情况处理
    elif str(quantdata.ErrorCode) == "10001021" or str(quantdata.ErrorCode) == "10001022":
        print ("Your all csq subscribe have stopped.")
    #行情服务器断线自动重连连续6次失败（1分钟左右）不过重连尝试还会继续进行直到成功为止，遇到这种情况需要确认两边的网络状况
    elif str(quantdata.ErrorCode) == "10002009":
        print ("Your all csq subscribe have stopped, reconnect 6 times fail.")
        # 行情订阅遇到一些错误(这些错误会导致重连，错误原因通过日志输出，统一转换成EQERR_QUOTE_RECONNECT在这里通知)，正自动重连并重新订阅,可以做个监控
    elif str(quantdata.ErrorCode) == "10002012":
        print ("csq subscribe break on some error, reconnect and request automatically.")
        # 资讯服务器断线自动重连连续6次失败（1分钟左右）不过重连尝试还会继续进行直到成功为止，遇到这种情况需要确认两边的网络状况
    elif str(quantdata.ErrorCode) == "10002014":
        print ("Your all cnq subscribe have stopped, reconnect 6 times fail.")
    # 资讯订阅遇到一些错误(这些错误会导致重连，错误原因通过日志输出，统一转换成EQERR_INFO_RECONNECT在这里通知)，正自动重连并重新订阅,可以做个监控
    elif str(quantdata.ErrorCode) == "10002013":
        print ("cnq subscribe break on some error, reconnect and request automatically.")
    # 资讯登录验证失败（每次连接资讯服务器时需要登录验证）或者资讯流量验证失败时，会取消所有订阅，用户需根据具体情况处理
    elif str(quantdata.ErrorCode) == "10001024" or str(quantdata.ErrorCode) == "10001025":
        print("Your all cnq subscribe have stopped.")
    else:
        pass

def startCallback(message):
    print("[EmQuantAPI Python]", message)
    return 1

try:
    #调用登录函数（激活后使用，不需要用户名密码）
    loginResult = c.start("ForceLogin=1", '', mainCallback)
    if(loginResult.ErrorCode != 0):
        print("login in fail")
        exit()
    # csd使用范例
    db = dbOperation(db_config.db_zhaiquan)
    stockPojoList = db.query_list("select id, code, name, list_date listDate from t_stock_base_info where is_hist_add = 0 and list_date != '待上市'")
    getDataTime = time.strftime('%Y-%m-%d',time.localtime(time.time()))
    for stockPojo in stockPojoList:
        if stockPojo['listDate'] > getDataTime:
            continue
        isAdd = False
        data = c.csd(
            str(stockPojo['code']), 
            "OPEN,CLOSE,HIGH,LOW,PRECLOSE,AVERAGE,CHANGE,PCTCHANGE,VOLUME,AMOUNT", 
            str(stockPojo['listDate']), 
            getDataTime, 
            "Period=1,adjustflag=1,curtype=1,Ispandas=1")
        print("返回数据：" + str(data))
        data.reset_index(inplace=True)
        # print(data)
        jsonData = data.to_json()
        text = json.loads(jsonData)
        stockHistPojoList = []
        for i in range(len(text['CODES'])):
            isAdd = True
            stockHistPojo = StockHistPojo()
            stockHistPojo.codes = text['CODES'][str(i)].replace(".", "_")
            stockHistPojo.open = text['OPEN'][str(i)]
            stockHistPojo.close = text['CLOSE'][str(i)]
            stockHistPojo.high = text['HIGH'][str(i)]
            stockHistPojo.low = text['LOW'][str(i)]
            stockHistPojo.preclose = text['PRECLOSE'][str(i)]
            if "None".strip() == str(text['AVERAGE'][str(i)]).strip():
                continue
            stockHistPojo.average = text['AVERAGE'][str(i)]
            stockHistPojo.change = text['CHANGE'][str(i)]
            stockHistPojo.pctchange = text['PCTCHANGE'][str(i)]
            stockHistPojo.volume = text['VOLUME'][str(i)]
            stockHistPojo.highlimit = "0"
            stockHistPojo.amount = text['AMOUNT'][str(i)]
            stockHistPojo.turn = "0"
            stockHistPojo.tradestatus = "0"
            stockHistPojo.lowlimit = "0"
            stockHistPojo.amplitude = "0"
            stockHistPojo.tnum = "0"
            stockHistPojo.tafactor = "0"
            stockHistPojo.fronttafactor = "0"
            stockHistPojo.isststock = "0"
            stockHistPojo.isxststock = "0"
            stockHistPojo.dates = text['DATES'][str(i)]
            # datTime = datetime.datetime.strptime(stockHistPojo.dates, "%Y/%m/%d")
            # datTime = time.mktime(time.strptime(stockHistPojo.dates, "%Y/%m/%d"))

            datTime = time.mktime(time.strptime(stockHistPojo.dates, "%Y/%m/%d"))
            year = time.localtime(datTime).tm_year # 获取年份
            yearDatTime = time.mktime(time.strptime(str(year) + "/01/01", "%Y/%m/%d"))

            month = time.localtime(datTime).tm_mon # 获取月份
            monthDatTime = ""
            if 10 > month:
                datTime = time.mktime(time.strptime(str(year) + "/0" + str(month) + "/01", "%Y/%m/%d"))
                monthDatTime = int(datTime)
            else:
                datTime = time.mktime(time.strptime(str(year) + "/" + str(month) + "/01", "%Y/%m/%d"))
                monthDatTime = int(datTime)

            weekDatTime = time.mktime(time.strptime(stockHistPojo.dates, "%Y/%m/%d"))
            wday = time.localtime(weekDatTime).tm_wday # 获取周
            dt = datetime.datetime.strptime(stockHistPojo.dates, "%Y/%m/%d")
            out_date = (dt + datetime.timedelta(days=-wday)).strftime("%Y/%m/%d")
            weekDatTime1 = time.mktime(time.strptime(out_date, "%Y/%m/%d"))

            #获取日
            dayDatTime = time.mktime(time.strptime(stockHistPojo.dates, "%Y/%m/%d"))

            stockHistPojo.dateYear = str(int(yearDatTime))
            stockHistPojo.dateMonth = str(int(monthDatTime))
            stockHistPojo.dateWeek = str(int(weekDatTime1))
            stockHistPojo.dateDay = str(int(dayDatTime))
            
            stockHistPojoList.append(stockHistPojo)
        i = 0
        key = "`realTime`,`dates`,`open`,`close`,`high`,`low`,`preclose`,`average`,`change`,`pctchange`,`volume`,`highlimit`,`amount`,`turn`,`tradestatus`,`lowlimit`,`amplitude`,`tnum`,`tafactor`,`fronttafactor`,`isststock`,`isxststock`,`date_year`,`date_month`,`date_week`"
        while True :
            vlues = ""
            # print(i)
            # 如果数组数量大于500 截取前500个
            if len(stockHistPojoList) - i > 500 :
                # stockPojoList[i : 500] 等于java subList(i, 500)
                for stockHistPojo in stockHistPojoList[i :  500 + i]:
                    vlues = vlues + "('"+str(stockHistPojo.dateDay)+"','"+str(stockHistPojo.dates)+"','" + str(stockHistPojo.open) + "','" + str(stockHistPojo.close) + "','" + str(stockHistPojo.high)+ "','" + str(stockHistPojo.low) + "','" + str(stockHistPojo.preclose) + "','" + str(stockHistPojo.average) + "','" + str(stockHistPojo.change) + "','" + str(stockHistPojo.pctchange) + "','" + str(stockHistPojo.volume) + "','" + str(stockHistPojo.highlimit) + "','" + str(stockHistPojo.amount) + "','" + str(stockHistPojo.turn) + "','" + str(stockHistPojo.tradestatus) + "','" + str(stockHistPojo.lowlimit) + "','" + str(stockHistPojo.amplitude) + "','" + str(stockHistPojo.tnum) + "','" + str(stockHistPojo.tafactor) + "','" + str(stockHistPojo.fronttafactor) + "','" + str(stockHistPojo.isststock) + "','" + str(stockHistPojo.isxststock) + "','" + str(stockHistPojo.dateYear) + "','" + str(stockHistPojo.dateMonth) + "','" + str(stockHistPojo.dateWeek) + "'),"
                vlues = vlues[:-1]
                db.batchInsert("data_hist_" + stockPojo['code'].replace(".", "_").lower(), key, vlues)   
                i = i + 500
            else :
                # 如果数量小于500 并且不为数量不大于标记变量
                if len(stockHistPojoList) > i :
                    for stockHistPojo in stockHistPojoList[i : len(stockHistPojoList)]:
                        vlues = vlues + "('"+str(stockHistPojo.dateDay)+"','"+str(stockHistPojo.dates)+"','" + str(stockHistPojo.open) + "','" + str(stockHistPojo.close) + "','" + str(stockHistPojo.high)+ "','" + str(stockHistPojo.low) + "','" + str(stockHistPojo.preclose) + "','" + str(stockHistPojo.average) + "','" + str(stockHistPojo.change) + "','" + str(stockHistPojo.pctchange) + "','" + str(stockHistPojo.volume) + "','" + str(stockHistPojo.highlimit) + "','" + str(stockHistPojo.amount) + "','" + str(stockHistPojo.turn) + "','" + str(stockHistPojo.tradestatus) + "','" + str(stockHistPojo.lowlimit) + "','" + str(stockHistPojo.amplitude) + "','" + str(stockHistPojo.tnum) + "','" + str(stockHistPojo.tafactor) + "','" + str(stockHistPojo.fronttafactor) + "','" + str(stockHistPojo.isststock) + "','" + str(stockHistPojo.isxststock) + "','" + str(stockHistPojo.dateYear) + "','" + str(stockHistPojo.dateMonth) + "','" + str(stockHistPojo.dateWeek) + "'),"
                    vlues = vlues[:-1]
                    db.batchInsert("data_hist_" + stockPojo['code'].replace(".", "_").lower(), key, vlues)   
                break
        if isAdd:
            db.update("update t_stock_base_info set is_hist_add = 1 where id = " + str(stockPojo['id']))
    db.close()

#退出
    data = logoutResult = c.stop()
except Exception as ee:
    print("error >>>",ee)
    traceback.print_exc()
else:
    print("demo end")