def isBiasMinOfDays(parseDay,days,id):
path = Tools.getBiasDataPath()+'/' +id
res = open(path,'r').read()
dayList = BaseParser.getPastTradingDayList(parseDay,days)
biasList = eval(res[26:-1])
dataOfDays = {}
for item in biasList:
for d in dayList:
if d == item['time']:
dataOfDays[d] = eval(item['bias'])
# 坏数据：个股交易日未必连续
if (len(dataOfDays)<1) or (len(dayList) != len(dataOfDays)):
# print 'len(dataOfDays)<1) or (len(dayList) != len(dataOfDays)'
return False
# bias n日最低
biasIsMin = True
bias = float(dataOfDays[parseDay][1])
for day,data in dataOfDays.items():
theBias = float(dataOfDays[day][1])
if theBias < bias:
biasIsMin = False
break
if not biasIsMin:
return False
return True
def isBiasAllNegative(parseDay,id):
path = Tools.getBiasDataPath()+'/' +id
try:
res = open(path,'r').read()
if len(res) < 50:
return False # 交由人工判断
dayList = BaseParser.getPastTradingDayList(parseDay,2)
biasList = eval(res[26:-1])
dataOfDays = {}
for item in biasList:
for d in dayList:
if d == item['time']:
dataOfDays[d] = eval(item['bias'])
except Exception, e:
pass
# print repr(e)
return False