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Copy path通达信早盘数据导出入库并写可用自定义文件.py
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通达信早盘数据导出入库并写可用自定义文件.py
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###################本程序为通信达早盘自定义数据的写盘与读取###########################
from __future__ import division
import struct as st
import tushare as ts
import pymysql
import json, re
import shutil
import pandas as pds
import requests as req
import datetime
import random
from pywinauto import application
from pywinauto.application import *
from pywinauto import mouse
from dboprater import DB as db
class opendatainTodb():
database = 'stock'
tablename = 'stockopendata'
configfile = './config/mysqlconfig.json' #为ｊｓｏｎ格式的配置文件
def __init__(self):
self.jsoncontent=db.get_config()
self.pro = ts.pro_api(self.jsoncontent['tushare'])
def TDX_OpenDataOutputTXT(self):
app=application.Application()
tool_name = r'C:\十档行情\tdxw.exe'
window_name = '通达信金融终端通赢版V7.47'
app.start(tool_name)
time.sleep(3)
app.connect(path=tool_name)
time.sleep(2)
#登录
mouse.move([985,420])
mouse.click('left',[990,422]) #左键在什么位置点击
time.sleep(15) #休息8秒，等等数据初始化加载
# app.GetCursorPos()
#点击A股，导出所有A股早盘数据
mouse.click('left', [970, 990])
###点击选项数据导出，导出数据
mouse.click('left',[1608, 11])
time.sleep(1)
mouse.click('left', [1655, 404])
time.sleep(1)
mouse.click('left', [705, 400])
time.sleep(1)
mouse.click('left', [1055, 547])
time.sleep(1)
mouse.click('left', [1110, 653])
time.sleep(60)
#点击取消，完成导出
mouse.click('left', [1035, 583])
time.sleep(1)
###########导出版块早盘数据
# 点击版本块指数，导出所有版块数据
mouse.click('left', [710, 995])
time.sleep(1)
mouse.click('left', [42, 67])
###点击选项数据导出，导出数据
mouse.click('left', [1608, 11])
time.sleep(1)
mouse.click('left', [1655, 404])
time.sleep(1)
mouse.click('left', [705, 400])
time.sleep(1)
mouse.click('left', [1055, 547])
time.sleep(1)
mouse.click('left', [1110, 653])
time.sleep(20)
# 点击取消，完成导出
mouse.click('left', [1016, 580])
#沪深主要指数导出
time.sleep(3)
# 点击分类--》沪深主要指数，导出所有指数数据
time.sleep(2)
mouse.click('left', [110, 990])
time.sleep(1)
mouse.click('left', [120, 782])
time.sleep(1)
# ###点击选项数据导出，导出数据
mouse.click('left',[1608, 11])
time.sleep(1)
mouse.click('left', [1655, 404])
time.sleep(1)
mouse.click('left', [705, 400])
time.sleep(1)
mouse.click('left', [1055, 547])
time.sleep(1)
mouse.click('left', [1110, 653])
time.sleep(10)
# 点击取消，完成导出
mouse.click('left', [1016, 580])
# 比较数据是否为最新的
# 获取表中指定的日期
def getdbdate(self,date):
sql = 'select date from stockopendata where date=\''+date+'\' limit 1;'
conn = db.dbconnect()
cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
cursor.execute(sql)
result = cursor.fetchall()
# print(result)
data1=None
for data in result:
data1 = data['date']
print(data1)
if data1 is None:
return None
cursor.close()
conn.close()
#读取excel 数据入mysql
def datainsert(self,txtfile):
date1 = re.search(r'\d+.txt$', txtfile).group()[0:8] #截取文件名中的日期
# 创建数据库连接
conn = db.dbconnect()
cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
# newdate=getdbdate(date1)
# if newdate:
# print('表中数据已是最新！！')
# return 0
#执行的sql语句
sql ='''insert into stockopendata (code,name,zhangfu,liangbi,kaipan,huanshuonu,kaipanjine,zongjine,liutongguyi,liutongsizhi,lianzhangtiansu,shanrizhangfu,ershirizhangfu,liushirizhangfu,date
) values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)'''
#打开文件
# file = pds.read_excel(txtfile)
file=pds.read_csv(txtfile, sep="\t",encoding='gbk')
# print(file)
# sheet_1 = file.sheet_by_index(0) #根据sheet页的排序选取sheet
# row_content = sheet_1.row_values(0) #获取指定行的数据，返回列表，排序自0开始
# col_number = sheet_1.ncols # 获取有数据的最大列数
# row_number = sheet_1.nrows #获取有数据的最大行数
# head=sheet_1.row_values(0) #获取表头
j=0 #控制提交频率
for i in file.index.values:
j += 1
try:
e1 = file.loc[i, ['代码']]
code = str(e1['代码']).rjust(6, '0')
name = file.loc[i,['名称']].to_dict()['名称']
zhangfu = str(file.loc[i,['涨幅%']].to_dict()['涨幅%']).strip()
if '--' in str(zhangfu):
zhangfu = 0
liangbi = str(file.loc[i, ['量比']].to_dict()['量比']).strip()
if '--' in str(liangbi):
liangbi = 0
kaipan = str(file.loc[i, ['开盘%']].to_dict()['开盘%']).strip()
if '--' in str(kaipan):
kaipan = 0
huanshuonu = str(file.loc[i, ['换手%']].to_dict()['换手%']).strip()
if '--' in str(huanshuonu):
huanshuonu = 0
kaipanjine =str( file.loc[i,['开盘金额']].to_dict()['开盘金额']).strip()
if '--' in str(kaipanjine):
kaipanjine = 0
zongjine = str(file.loc[i, ['总金额']].to_dict()['总金额']).strip()
if '--' in str(zongjine):
zongjine = 0
liutongguyi = str(file.loc[i, ['流通股(亿)']].to_dict()['流通股(亿)']).strip()
if '--' in str(liutongguyi):
liutongguyi = 0
liutongsizhi = str(file.loc[i, ['流通市值']].to_dict()['流通市值']).strip()
if '--' in str(liutongsizhi):
liutongsizhi = 0
lianzhangtiansu =str( file.loc[i,['连涨天']].to_dict()['连涨天']).strip()
if '--' in str(lianzhangtiansu):
lianzhangtiansu = 0
shanrizhangfu = str(file.loc[i,['3日涨幅%']].to_dict()['3日涨幅%']).strip()
if '--' in str(shanrizhangfu):
shanrizhangfu = 0
ershirizhangfu = str(file.loc[i,['20日涨幅%']].to_dict()['20日涨幅%']).strip()
if '--' in str(ershirizhangfu):
ershirizhangfu = 0
liushirizhangfu = str(file.loc[i,['60日涨幅%']].to_dict()['60日涨幅%']).strip()
if '--' in str(liushirizhangfu):
liushirizhangfu = 0
date=str(date1)
values = (code,name,zhangfu,liangbi,kaipan,huanshuonu,kaipanjine,zongjine,liutongguyi,liutongsizhi,lianzhangtiansu,shanrizhangfu,ershirizhangfu,liushirizhangfu,date)
#执行sql语句插入数据
# print(code,name,zhangfu,kaipanhuanshuoz,kaipanjine,huanshuonu,liangbi,xianliang,zongliang, zongjine,
# xianjia,junjia,liutongguyi, liutongsizhi ,renjiusizhi ,xifenhangye,diqu , siyingniu,huoyuedu,
# lianzhangtiansu,shanrizhangfu,ershirizhangfu,liushirizhangfu,huanshuoz,liutongsizhiz,beitaxishuo,
# kaipan,gudongrenshuo,renjunchigu,liruntongbi ,shuyutongbi,shijingniu,meigujingzhi,meigugongji,
# meiguweifenpei, meiguxianjinliu,maoliniu,yinyeilirunniu,jinlirunniu,date)
#print('%s \n %s' %(sql,values))
cursor.execute(sql,values)
if j%50==0:
conn.commit()
else:
continue
except BaseException as be:
print(be)
# print(values)
continue
conn.commit() #最后少于50条，执行完循环后，提交一次。
print('插入数据：%d 条' %j)
cursor.close()
conn.close()
# #列出所给目录中的所有excel 文件
# def listdir(path): #传入根目录
# file_list = []
# for file in os.listdir(path):
# file_path = os.path.join(path, file) #获取绝对路径
# if os.path.isdir(file_path): #如果还是文件夹，就继续迭代本函数
# listdir(file_path)
# elif os.path.splitext(file_path)[1] == '.xls' or os.path.splitext(file_path)[1] == '.xlsx': #判断文件是否是Excel文件
# file_list.append(file_path)
# return file_list #返回Excel文件路径列表
#列出所给目录中的所有txt 文件
def listdir(self,path): #传入根目录
file_list = []
for file in os.listdir(path):
file_path = os.path.join(path, file) #获取绝对路径
if os.path.isdir(file_path): #如果还是文件夹，就继续迭代本函数
self.listdir(file_path)
elif os.path.splitext(file_path)[1] == '.txt' : #判断文件是否是txt文件
file_list.append(file_path)
return file_list #返回Excel文件路径列表
################处理后移动到bak目录
def movefile(self,sfile1,dfile1):
try:
shutil.move(sfile1, dfile1)
except BaseException as be:
print(be)
#补齐指定日期的数据到表中
class Add_histoy_opendata:
@staticmethod
def insertToDB(listdata):
conn=db.dbconnect()
cursor=conn.cursor(cursor=pymysql.cursors.DictCursor)
sql='''insert into stockopendata (code,name,kaipanjine,date) values(%s,%s,%s,%s)'''
if listdata is None:
print('无数据！')
return
for data in listdata:
code=data['code']
name=data['stockname']
kaipanjine=data['openjiner']
date=data['date']
values=(code,name,kaipanjine,date)
try:
cursor.execute(sql,values)
except BaseException as Be:
print(Be)
continue
conn.commit()
cursor.close()
conn.close()
@staticmethod
def getAddDataOpendata(date) ->list:
datalist=[]
fdata1=str(datetime.datetime.strptime(date, "%Y%m%d"))[0:10]
fdata=time.strptime(date,'%Y%m%d')
fdata=str(fdata.tm_year)+'年'+str(fdata.tm_mon)+'月'+str(fdata.tm_mday)+'日'
print('获取数据日期为：%s' %fdata)
url='http://ai.iwencai.com/urp/v7/landing/getDataList'
UA_LIST = ['Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB5; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; SV1; Acoo Browser; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; Avant Browser)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; GTB5; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; Maxthon; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/4.0 (compatible; Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729); Windows NT 5.1; Trident/4.0)',
'Mozilla/4.0 (compatible; Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; GTB6; Acoo Browser; .NET CLR 1.1.4322; .NET CLR 2.0.50727); Windows NT 5.1; Trident/4.0; Maxthon; .NET CLR 2.0.50727; .NET CLR 1.1.4322; InfoPath.2)',
'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser; GTB6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; InfoPath.1; .NET CLR 3.5.30729; .NET CLR 3.0.30618)',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.150 Safari/537.36',
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36 OPR/26.0.1656.60",
"Opera/8.0 (Windows NT 5.1; U; en)",
"Mozilla/5.0 (Windows NT 5.1; U; en; rv:1.8.1) Gecko/20061208 Firefox/2.0.0 Opera 9.50",
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 9.50",
# Firefox
"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0",
"Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10",
# Safari
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2",
# chrome
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.71 Safari/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11",
"Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.16 (KHTML, like Gecko) Chrome/10.0.648.133 Safari/534.16",
# 360
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko",
# 淘宝浏览器
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11",
# 猎豹浏览器
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER",
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)",
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)",
# QQ浏览器
"Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)",
"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)",
# sogou浏览器
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 SE 2.X MetaSr 1.0",
"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; SE 2.X MetaSr 1.0)",
# maxthon浏览器
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.4.3.4000 Chrome/30.0.1599.101 Safari/537.36",
# UC浏览器
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 UBrowser/4.0.3214.0 Safari/537.36"
]
header={
'Cookie': 'user=MDpuZXdoYWNrZXJtYW46Ok5vbmU6NTAwOjI0NDMxOTg2MDo3LDExMTExMTExMTExLDQwOzQ0LDExLDQwOzYsMSw0MDs1LDEsNDA7MSwxMDEsNDA7MiwxLDQwOzMsMSw0MDs1LDEsNDA7OCwwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMSw0MDsxMDIsMSw0MDoyNzo6OjIzNDMxOTg2MDoxNjE2NTQ2NTc4Ojo6MTQyOTE4Nzg4MDo0MDA2MjI6MDoxMjFiZjE0Y2FkZGUyYTU2ZjI2MWNjNWMxOTBiZTIyYjc6ZGVmYXVsdF80OjA=; userid=234319860; u_name=newhackerman; escapename=newhackerman; ticket=3a59348bf3920840f70a536a8aa858f9; user_status=0; v=A5THh5paiB1wFxzRADTSQsTTZdkF7bdR-gFMny5gIDCgxTrPVv2IZ0ohHO99',
'User-Agent': random.choice(UA_LIST),
}
session = req.session()
session.headers.update(header)
for page in range(1,44,1): #共43页数据
data={
'query': fdata+'竞价数据',
'urp_sort_way': 'desc',
'urp_sort_index': '竞价涨幅['+str(date)+']',
'page': str(page),
'perpage': '100',
'condition': '[{"dateText":"'+fdata+'","indexName":"竞价涨幅","indexProperties":["交易日期 '+str(date)+'"],"dateUnit":"日","source":"new_parser","type":"index","indexPropertiesMap":{"交易日期":"'+str(date)+'"},"reportType":"TRADE_DAILY","dateType":"交易日期","chunkedResult":"'+fdata+'竞价数据","valueType":"_浮点型数值(%)","domain":"abs_股票领域","uiText":"'+fdata+'的竞价涨幅","sonSize":0,"queryText":"'+fdata+'的竞价涨幅","relatedSize":0}]',
'codelist':'',
'logid': '2b1e8595dd06eee8161ca49087b09729',
'ret': 'json_all',
'sessionid': 'f82098f512edcbe25a00705fb32c7495',
'date_range[0]': str(date),
'iwc_token': '0ac952ab16165627286628662',
'urp_use_sort': '1',
'user_id': '234319860',
'uuids[0]': '24087',
'query_type': 'stock',
'comp_id': '5641531',
'business_cat': 'soniu',
'uuid': '24087'
}
# print(data)
try:
r=session.post(url=url,data=data)
except BaseException as BE:
print('访问异常，重试中！')
time.sleep(2)
count = 0
while count < 5:
response = r=session.post(url=url,data=data)
if response.status_code != 200:
count + 1
print('第 %s 次重试获取 %s 页数据异常！' % (count, page))
time.sleep(2)
else:
break
# print(r.json())
try:
content=r.json()['answer']['components'][0]['data']['datas'] #拿到竞价数据列表
except BaseException as b2:
print('解释数据失败，可能未获取到数据，请检查cookie是否失效，接口是否变更')
continue
jjje='竞价金额['+str(date)+']'
jjl='竞价量['+str(date)+']'
jjppj='竞价匹配价['+str(date)+']'
for data in content:
# print(data)
code=data['code']
stockname=data['股票简称']
openprice=data[jjppj]
openjiner=data[jjje]
openvol=data[jjl]
dict={'code':code,'stockname':stockname,'openprice':openprice,'openjiner':openjiner,'openvol':openvol,'date':fdata1}
datalist.append(dict)
time.sleep(0.8)
session.close()
return datalist
#获取当前鼠标位置
def GetCursorPos():
while True:
print(win32api.GetCursorPos())
time.sleep(3)
#通达信早盘数据导出
#########解码
def STOCKdecode(date,codeamo): #可以解出日期了,竞价数据要用f解
text1=st.unpack("I",date)[0]
text2 = st.unpack("f", codeamo)[0]
return text1,text2
# with open('C:/Users/test/Desktop/0_300563.dat','rb') as fr:
# seek=4
# str=fr.read()
# # aa=st.pack('f', 0)
# for a in range(0,len(str),seek*2):
# text1=st.unpack("I",str[a:a+seek])[0]
# text2=st.unpack("f",str[a+seek:a+seek+seek])[0]
# text3=st.pack('I',text1) #整型编码
# text4=st.pack('f',text2) #float 编码
# print(text1,text2)
#STOCKuncode()
#########编码
def stockcode(date,codeamo):
seek =4
text1=st.pack('I', int(date))
#print(text1)
text2=st.pack('f', float(codeamo))
#print(text2)
return text1+text2
###################处理板块竞价数据
def getbandopenprice(sfile,dpath):
test_data=[]
sfile1=sfile
#date1 =time.strftime("%Y%m%d", time.localtime())
#date1 = sfile[-12:-4:1] #取文件名中的日期
date1 = re.search(r'\d+.txt$', sfile).group()[0:8]
print('文件名中的日期为%s'%date1)
try:
count=0
list1=pds.read_csv(sfile, sep="\t",encoding='gbk')
for i in list1.index.values:
#row_data = list1.loc[i, ['代码', '开盘金额']].to_dict()
e1=list1.loc[i, ['代码']].to_dict()
codenum = str(e1['代码']).rjust(6, '0')
if not codenum.isdigit(): #如果读到的不是数字，则跳过
continue
e2 = list1.loc[i, ['开盘金额']].to_dict()
codeamo=str(format(e2['开盘金额']))
#需要写编码功能)
if codenum=='' or codeamo=='': #如果开盘金额是空的，或代码是空的则跳过（股票未开盘无意义）
continue
fflowdata=stockcode(date1,codeamo)
#print(fflowdata) #编码后的数据
#print(codenum[0:3], codenum[0:3], codenum[0:3])
if '指数' in sfile1: #处理指数时统一用1—
dfilename = dpath + '1_' + codenum + '.dat'
try:
fw1 = open(dfilename, 'ab+')
print(dfilename)
except FileNotFoundError as fnot:
fw1 = open(dfilename, 'wb')
fw1.write(fflowdata)
fw1.close()
elif codenum[0:2]=='60' or codenum[0:3]=='688' or codenum[0:3]=='880':
dfilename=dpath+'1_'+codenum+'.dat'
try:
fw1=open(dfilename,'ab+')
print(dfilename)
except FileNotFoundError as fnot:
fw1=open(dfilename,'wb')
fw1.write(fflowdata)
fw1.close()
elif codenum[0:3]=='300' or codenum [0:2]=='00':
dfilename = dpath + '0_' + codenum + '.dat'
try:
fw1 = open(dfilename, 'ab+')
print(dfilename)
except FileNotFoundError as fnot:
fw1 = open(dfilename, 'wb')
fw1.write(fflowdata)
fw1.close()
else:
dfilename = dpath + '1_' + codenum + '.dat'
try:
fw1 = open(dfilename, 'ab+')
except FileNotFoundError as fnot:
fw1 = open(dfilename, 'wb')
fw1.write(fflowdata)
fw1.close()
except FileNotFoundError as fnot1:
print(fnot1)
return
################处理后移动到bak目录
def movefile(sfile1,dfile1):
try:
shutil.move(sfile1, dfile1)
except BaseException as be:
print(be)
#每天调用一次即可(板块调一次，个股调用一次)
def procesdata(sfile,dpath):
try:
sfile1=sfile
getbandopenprice(sfile1, dpath) #读取导出的txt 并写入当天的文件中
except BaseException as ee:
print(ee)
print('处理异常请检查')
print('处理完成')
#通达信竞价文件读取
def readTDXdata(filename): #可以解出日期了,竞价数据要用f解
with open(filename,'rb') as fr:
seek=4
str=fr.read()
listdata=[]
# aa=st.pack('f', 0)
for a in range(0,len(str),seek*2):
text1=st.unpack("I",str[a:a+seek])[0]
text2=st.unpack("f",str[a+seek:a+seek+seek])[0]
# text3=st.pack('I',text1) #整型编码
# text4=st.pack('f',text2) #float 编码
listdata.append(text1+text2)
#print(text1,text2)
return listdata
#下面代码每天调用一次即可
if __name__=='__main__':
# '''补齐数据'''
# gethistory=Add_histoy_opendata()
# datalist=[
#
# '20210316']
# for date in datalist:
# datalist = gethistory.getAddDataOpendata(date)
# gethistory.insertToDB(datalist)
# time.sleep(120)
spath = 'c:/十档行情/T0002/export/'
spathbak = 'c:/十档行情/T0002/exportbak/'
dpath = 'c:/十档行情/T0002/signals/signals_user_9601/'
#########将导出数据写入stockopendata表
intodb=opendatainTodb()
# intodb.TDX_OpenDataOutputTXT() # 导出竞价数据为ＴＸＴ
listfile = os.listdir(spath)
print(listfile)
# filelist = intodb.listdir(spath)
for file in listfile:
if file.endswith('txt'):
print('start inserttodb', file)
intodb.datainsert(spath+file)
print('insert complete', file)
#########将数据写入stockopendata表完成
if not os.path.exists(dpath):
print('目标目录不存在，请检查！')
exit(1)
for fl in listfile:
if fl.endswith('txt'):
print('待处理的文件为：', spath + fl)
procesdata(spath+fl, dpath)
print('文件：%s处理成功！'%(spath+fl))
if not os.path.exists(spathbak):
os.makedirs(spathbak)
else:
movefile(spath+fl,spathbak+fl) #处理完移走
print("move %s -> %s" %(fl,(spathbak+fl)))