之前2月25日，上海期货交易所进行测试，在周六进行行情广播，我的datarecording一直在跑；然后就发现读了不少脏数据。
vnpy自带的行情清理功能较为简单，只是在清除非交易时段，没有考虑周六日；而且只是笼统给了一个最大时间交易范围，像股指期货没有夜盘，螺纹钢晚上11点就结束，但是默认只是结束在凌晨两点半这个最大交易时间。 所以写了一个方法，按照不同品种，更细致的清理。
可以直接把这个方法插入\DataRecording\runDataCleaning.py, 然后替代原来方法。也可以自己另外调用。
# ----------------------------------------------------------------------
def cleanDataAdv(dbName, collectionName, start):
"""清洗数据"""
#新的静态数据
# 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)
#股指期货
STOCK_FUTURE = ["IC", "IF", "IH"]
MORNING_START_STOCK = time(9, 30)
AFTERNOON_START_STOCK = time(13,0)
AFTERNOON_END_STOCK = time(15, 0)
#晚上11点结束交易,不全，请自行维护
PM11CLOSE_FUTURE = ['rb','ru','bu','hc','sp']
NIGHT_END_11 = time(23, 00)
#晚上11点半结束交易,不全，请自行维护,大连只有一位标志，所以带1
PM1130CLOSE_FUTURE = ['FG','MA','SR','TA','RM','OI','CF','CY','ZC','i1','j1','m1','p1','y1']
NIGHT_END_1130 = time(23, 30)
#凌晨1点半结束交易,不全，请自行维护
AM1CLOSE_FUTURE = ['cu','pd','al','zn']
NIGHT_END_AM1 = time(1, 00)
print(u'\n清洗数据库：%s, 集合：%s, 起始日：%s' % (dbName, collectionName, start))
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
for data in cx:
# 获取时间戳对象
dt = data['datetime'].time()
# 默认需要清洗
cleanRequired = True
####如果是股指期货，这没有上午休息和夜盘，9点半到11点半，下午1点到下午三点，周六日无行情
if collectionName[:2] in STOCK_FUTURE:
if data['datetime'].weekday() is not (5 or 6):
if ((MORNING_START_STOCK <= dt < MORNING_END) or
(AFTERNOON_START_STOCK <= dt < AFTERNOON_END_STOCK)):
cleanRequired = False
####如果是11点结束，则周六日无行情
elif collectionName[:2] in PM11CLOSE_FUTURE:
if data['datetime'].weekday() is not (5 or 6):
if ((MORNING_START <= dt < MORNING_REST) or
(MORNING_RESTART <= dt < MORNING_END) or
(AFTERNOON_START <= dt < AFTERNOON_END) or
( NIGHT_START <= dt <NIGHT_END_11)):
cleanRequired = False
####如果是11点半结束，则周六日无行情
elif collectionName[:2] in PM1130CLOSE_FUTURE:
if data['datetime'].weekday() is not (5 or 6):
if ((MORNING_START <= dt < MORNING_REST) or
(MORNING_RESTART <= dt < MORNING_END) or
(AFTERNOON_START <= dt < AFTERNOON_END) or
(NIGHT_START <= dt < NIGHT_END_1130)):
cleanRequired = False
####如果是1点结束，
elif collectionName[:2] in AM1CLOSE_FUTURE:
# 如果在交易事件内，则为有效数据，无需清洗
if data['datetime'].weekday() is not 6:
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_AM1)):
cleanRequired = False
else:
# 如果在交易事件内，则为有效数据，无需清洗
if data['datetime'].weekday() is not 6:
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:
print(u'删除无效数据，时间戳：%s' % data['datetime'])
cl.delete_one(data)
print(u'清洗完成，数据库：%s, 集合：%s' % (dbName, collectionName))