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pytdx_to_mysql.py
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pytdx_to_mysql.py
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# coding:utf-8
#
# The MIT License (MIT)
#
# Copyright (c) 2010-2019 fasiondog/hikyuu
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import sys
import math
import datetime
from pytdx.hq import TDXParams
import mysql.connector
from .common import MARKETID, STOCKTYPE, get_stktype_list
from .common_mysql import (create_database, get_marketid,
get_codepre_list, get_stock_list,
get_table, get_lastdatetime)
from .weight_to_mysql import qianlong_import_weight
def ProgressBar(cur, total):
percent = '{:.0%}'.format(cur / total)
sys.stdout.write('\r')
sys.stdout.write("[%-50s] %s" % ('=' * int(math.floor(cur * 50 / total)),percent))
sys.stdout.flush()
def to_pytdx_market(market):
"""转换为pytdx的market"""
pytdx_market = {'SH': TDXParams.MARKET_SH, 'SZ': TDXParams.MARKET_SZ}
return pytdx_market[market.upper()]
def import_stock_name(connect, api, market, quotations=None):
"""更新每只股票的名称、当前是否有效性、起始日期及结束日期
如果导入的代码表中不存在对应的代码,则认为该股已失效
:param connect: sqlite3实例
:param api: pytdx接口,必须在函数外进行连接
:param market: 'SH' | 'SZ'
:param quotations: 待导入的行情类别,空为导入全部 'stock' | 'fund' | 'bond' | None
"""
cur = connect.cursor()
newStockDict = {}
pytdx_market = to_pytdx_market(market.upper())
stk_count = api.get_security_count(pytdx_market)
for i in range(int(stk_count/1000)+1):
stock_list = api.get_security_list(pytdx_market, i * 1000)
for stock in stock_list:
newStockDict[stock['code']] = stock['name']
marketid = get_marketid(connect, market)
stktype_list = get_stktype_list(quotations)
cur.execute("select stockid, code, name, valid from `hku_base`.`stock` where marketid={} and type in {}"
.format(marketid, stktype_list))
a = cur.fetchall()
oldStockDict = {}
for oldstock in a:
oldstockid, oldcode, oldname, oldvalid = oldstock[0], oldstock[1], oldstock[2], int(oldstock[3])
oldStockDict[oldcode] = oldstockid
# 新的代码表中无此股票,则置为无效
if (oldvalid == 1) and (oldcode not in newStockDict):
cur.execute("update `hku_base`.`stock` set valid=0 where stockid=%i" % oldstockid)
# 股票名称发生变化,更新股票名称;如果原无效,则置为有效
if oldcode in newStockDict:
if oldname != newStockDict[oldcode]:
cur.execute("update `hku_base`.`stock` set name='%s' where stockid=%i" %
(newStockDict[oldcode], oldstockid))
if oldvalid == 0:
cur.execute("update `hku_base`.`stock` set valid=1, endDate=99999999 where stockid=%i" % oldstockid)
# 处理新出现的股票
codepre_list = get_codepre_list(connect, marketid, quotations)
today = datetime.date.today()
today = today.year * 10000 + today.month * 100 + today.day
count = 0
for code in newStockDict:
if code not in oldStockDict:
for codepre in codepre_list:
length = len(codepre[0])
if code[:length] == codepre[0]:
count += 1
#print(market, code, newStockDict[code], codepre)
sql = "insert into `hku_base`.`Stock` (marketid, code, name, type, valid, startDate, endDate) \
values (%s, '%s', '%s', %s, %s, %s, %s)" \
% (marketid, code, newStockDict[code], codepre[1], 1, today, 99999999)
cur.execute(sql)
break
#print('%s新增股票数:%i' % (market.upper(), count))
connect.commit()
cur.close()
return count
def guess_day_n_step(last_datetime):
last_date = int(last_datetime // 10000)
today = datetime.date.today()
last_y = last_date // 10000
n = int((today.year - last_y + 1) * 250 // 800)
step = 800
if n < 1:
last_m = last_date // 100 - last_y * 100
last_d = last_date - (last_y * 10000 + last_m * 100)
step = (today - datetime.date(last_y, last_m, last_d)).days
return (n, step)
def guess_1min_n_step(last_datetime):
last_date = int(last_datetime // 10000)
today = datetime.date.today()
last_y = last_date // 10000
last_m = last_date // 100 - last_y * 100
last_d = last_date - (last_y * 10000 + last_m * 100)
n = int((today - datetime.date(last_y, last_m, last_d)).days * 240 // 800)
step = 800
if n < 1:
step = (today - datetime.date(last_y, last_m, last_d)).days * 240
elif n > 99:
n = 99
return (n, step)
def guess_5min_n_step(last_datetime):
last_date = int(last_datetime // 10000)
today = datetime.date.today()
last_y = last_date // 10000
last_m = last_date // 100 - last_y * 100
last_d = last_date - (last_y * 10000 + last_m * 100)
n = int((today - datetime.date(last_y, last_m, last_d)).days * 48 // 800)
step = 800
if n < 1:
step = (today - datetime.date(last_y, last_m, last_d)).days * 48
elif n > 99:
n = 99
return (n, step)
def import_one_stock_data(connect, api, market, ktype, stock_record):
market = market.upper()
pytdx_market = to_pytdx_market(market)
stockid, marketid, code, valid, stktype = stock_record[0], stock_record[1], stock_record[2], stock_record[3], \
stock_record[4]
table = get_table(connect, market, code, ktype)
last_datetime = get_lastdatetime(connect, table)
if last_datetime is None:
last_datetime = 199012191500
today = datetime.date.today()
if ktype == 'DAY':
n, step = guess_day_n_step(last_datetime)
pytdx_kline_type = TDXParams.KLINE_TYPE_RI_K
today_datetime = (today.year * 10000 + today.month * 100 + today.day) * 10000
elif ktype == '1MIN':
n, step = guess_1min_n_step(last_datetime)
pytdx_kline_type = TDXParams.KLINE_TYPE_1MIN
today_datetime = (today.year * 10000 + today.month * 100 + today.day) * 10000 + 1500
elif ktype == '5MIN':
n, step = guess_5min_n_step(last_datetime)
pytdx_kline_type = TDXParams.KLINE_TYPE_5MIN
today_datetime = (today.year * 10000 + today.month * 100 + today.day) * 10000 + 1500
else:
return 0
if today_datetime <= last_datetime:
return 0
get_bars = api.get_index_bars if stktype == STOCKTYPE.INDEX else api.get_security_bars
buf = []
while n >= 0:
bar_list = get_bars(pytdx_kline_type, pytdx_market, code, n * 800, step)
n -= 1
if bar_list is None:
#print(code, "invalid!!")
continue
for bar in bar_list:
try:
tmp = datetime.date(bar['year'], bar['month'], bar['day'])
bar_datetime = (tmp.year * 10000 + tmp.month * 100 + tmp.day) * 10000
if ktype != 'DAY':
bar_datetime += bar['hour'] * 100 + bar['minute']
except:
continue
if today_datetime >= bar_datetime > last_datetime \
and bar['high'] >= bar['open'] >= bar['low'] > 0 \
and bar['high'] >= bar['close'] >= bar['low'] > 0 \
and bar['vol'] >= 0 and bar['amount'] >= 0:
buf.append((bar_datetime, bar['open'], bar['high'], bar['low'],
bar['close'], bar['amount'] * 0.001,
bar['vol'] if stktype == 2 else round(bar['vol'] * 0.01)))
if len(buf) > 0:
cur = connect.cursor()
sql = "INSERT INTO {tablename} (date, open, high, low, close, amount, count) " \
"VALUES (%s, %s, %s, %s, %s, %s, %s)".format(tablename=table)
cur.executemany(sql, buf)
#connect.commit()
#print(market, stock_record)
if ktype == 'DAY':
# 更新基础信息数据库中股票对应的起止日期及其有效标志
if valid == 0:
sql = "update `hku_base`.`stock` set valid=1, " \
"startdate=(select min(date)/10000 from {table}), " \
"enddate=(select max(date)/10000 from {table}) " \
"where stockid={stockid}".format(table=table, stockid=stockid)
cur.execute("sql")
#connect.commit()
# 记录最新更新日期
if (code == '000001' and marketid == MARKETID.SH) \
or (code == '399001' and marketid == MARKETID.SZ):
sql = "update `hku_base`.`market` set lastdate=(select max(date)/10000 from {table}) " \
"where marketid={marketid}".format(table=table, marketid=marketid)
try:
cur.execute(sql)
except:
print(sql)
connect.commit()
return len(buf)
def import_data(connect, market, ktype, quotations, api, progress=ProgressBar):
"""导入通达信指定盘后数据路径中的K线数据。注:只导入基础信息数据库中存在的股票。
:param connect : sqlit3链接
:param market : 'SH' | 'SZ'
:param ktype : 'DAY' | '1MIN' | '5MIN'
:param quotations: 'stock' | 'fund' | 'bond'
:param src_dir : 盘后K线数据路径,如上证5分钟线:D:\\Tdx\\vipdoc\\sh\\fzline
:param dest_dir : HDF5数据文件所在目录
:param progress : 进度显示函数
:return: 导入记录数
"""
add_record_count = 0
market = market.upper()
stock_list = get_stock_list(connect, market, quotations)
total = len(stock_list)
for i, stock in enumerate(stock_list):
if stock[3] == 0:
if progress:
progress(i, total)
continue
this_count = import_one_stock_data(connect, api, market, ktype, stock)
add_record_count += this_count
"""
if this_count > 0:
if ktype == 'DAY':
update_hdf5_extern_data(h5file, market.upper() + stock[2], 'DAY')
elif ktype == '5MIN':
update_hdf5_extern_data(h5file, market.upper() + stock[2], '5MIN')
"""
if progress:
progress(i, total)
connect.commit()
return add_record_count
if __name__ == '__main__':
import os
import time
starttime = time.time()
host = '127.0.0.1'
port = 3306
usr = 'root'
pwd = ''
tdx_server = '119.147.212.81'
tdx_port = 7709
quotations = ['stock', 'fund']
connect = mysql.connector.connect(user=usr, password=pwd, host=host, port=port)
create_database(connect)
from pytdx.hq import TdxHq_API, TDXParams
api = TdxHq_API()
api.connect(tdx_server, tdx_port)
add_count = 0
print("导入股票代码表")
#add_count = import_stock_name(connect, api, 'SH', quotations)
#add_count += import_stock_name(connect, api, 'SZ', quotations)
print("新增股票数:", add_count)
print("\n导入上证日线数据")
add_count = import_data(connect, 'SH', 'DAY', quotations, api, progress=ProgressBar)
print("\n导入数量:", add_count)
"""
print("\n导入深证日线数据")
add_count = import_data(connect, 'SZ', 'DAY', quotations, api, dest_dir, progress=ProgressBar)
print("\n导入数量:", add_count)
print("\n导入上证5分钟线数据")
add_count = import_data(connect, 'SH', '5MIN', quotations, api, dest_dir, progress=ProgressBar)
print("\n导入数量:", add_count)
print("\n导入深证5分钟线数据")
add_count = import_data(connect, 'SZ', '5MIN', quotations, api, dest_dir, progress=ProgressBar)
print("\n导入数量:", add_count)
print("\n导入上证分钟线数据")
add_count = import_data(connect, 'SH', '1MIN', quotations, api, dest_dir, progress=ProgressBar)
print("\n导入数量:", add_count)
print("\n导入深证分钟线数据")
add_count = import_data(connect, 'SZ', '1MIN', quotations, api, dest_dir, progress=ProgressBar)
print("\n导入数量:", add_count)
print("\n导入权息数据")
print("正在下载权息数据...")
import urllib.request
net_file = urllib.request.urlopen('http://www.qianlong.com.cn/download/history/weight.rar', timeout=60)
dest_filename = dest_dir + '/weight.rar'
with open(dest_filename, 'wb') as file:
file.write(net_file.read())
print("下载完成,正在解压...")
os.system('unrar x -o+ -inul {} {}'.format(dest_filename, dest_dir))
print("解压完成,正在导入...")
add_count = qianlong_import_weight(connect, dest_dir + '/weight', 'SH')
add_count += qianlong_import_weight(connect, dest_dir + '/weight', 'SZ')
print("导入数量:", add_count)
"""
#for i in range(10):
# x = api.get_history_transaction_data(TDXParams.MARKET_SZ, '000001', (9-i)*2000, 2000, 20181112)
#x = api.get_transaction_data(TDXParams.MARKET_SZ, '000001', (9-i)*800, 800)
# if x is not None and len(x) > 0:
# print(i, len(x), x[0], x[-1])
api.disconnect()
connect.close()
endtime = time.time()
print("\nTotal time:")
print("%.2fs" % (endtime - starttime))
print("%.2fm" % ((endtime - starttime) / 60))