vnpy/examples/DataRecording/runDataCleaning.py

86 lines
2.5 KiB
Python
Raw Normal View History

2017-10-10 09:06:44 +00:00
# encoding: UTF-8
2018-05-07 16:37:09 +00:00
from __future__ import print_function
2017-10-10 09:06:44 +00:00
import json
from datetime import datetime, timedelta, time
from pymongo import MongoClient
from vnpy.trader.app.ctaStrategy.ctaBase import MINUTE_DB_NAME, TICK_DB_NAME
# 这里以商品期货为例
MORNING_START = time(9, 0)
MORNING_REST = time(10, 15)
MORNING_RESTART = time(10, 30)
MORNING_END = time(11, 30)
AFTERNOON_START = time(13, 30)
AFTERNOON_END = time(15, 0)
NIGHT_START = time(21, 0)
NIGHT_END = time(2, 30)
#----------------------------------------------------------------------
def cleanData(dbName, collectionName, start):
"""清洗数据"""
2018-05-07 16:37:09 +00:00
print(u'\n清洗数据库:%s, 集合:%s, 起始日:%s' %(dbName, collectionName, start))
2017-10-10 09:06:44 +00:00
mc = MongoClient('localhost', 27017) # 创建MongoClient
cl = mc[dbName][collectionName] # 获取数据集合
d = {'datetime':{'$gte':start}} # 只过滤从start开始的数据
cx = cl.find(d) # 获取数据指针
# 遍历数据
for data in cx:
# 获取时间戳对象
2017-10-10 09:19:16 +00:00
dt = data['datetime'].time()
2017-10-10 09:06:44 +00:00
# 默认需要清洗
cleanRequired = True
# 如果在交易事件内,则为有效数据,无需清洗
if ((MORNING_START <= dt < MORNING_REST) or
(MORNING_RESTART <= dt < MORNING_END) or
(AFTERNOON_START <= dt < AFTERNOON_END) or
(dt >= NIGHT_START) or
(dt < NIGHT_END)):
cleanRequired = False
# 如果需要清洗
if cleanRequired:
2018-05-07 16:37:09 +00:00
print(u'删除无效数据,时间戳:%s' %data['datetime'])
2017-10-10 09:06:44 +00:00
cl.delete_one(data)
2018-05-07 16:37:09 +00:00
print(u'清洗完成,数据库:%s, 集合:%s' %(dbName, collectionName))
2017-10-10 09:06:44 +00:00
#----------------------------------------------------------------------
def runDataCleaning():
"""运行数据清洗"""
2018-05-07 16:37:09 +00:00
print(u'开始数据清洗工作')
2017-10-10 09:06:44 +00:00
# 加载配置
setting = {}
with open("DR_setting.json") as f:
setting = json.load(f)
# 遍历执行清洗
today = datetime.now()
start = today - timedelta(10) # 清洗过去10天数据
start.replace(hour=0, minute=0, second=0, microsecond=0)
for l in setting['tick']:
symbol = l[0]
cleanData(TICK_DB_NAME, symbol, start)
for l in setting['bar']:
symbol = l[0]
cleanData(MINUTE_DB_NAME, symbol, start)
2018-05-07 16:37:09 +00:00
print(u'数据清洗工作完成')
2017-10-10 09:06:44 +00:00
if __name__ == '__main__':
2017-10-10 09:19:16 +00:00
runDataCleaning()