def run(conf={}):
stock=conf.get("stock",Stock(conf))
date=conf.get('date',Date.getDate())
logging.info("Start strategic app.Date is %s" %date)
check = Check.Check(conf = conf)
if not check.checkStrategicCondition(date = date):
logging.warning("Strategic is invailable.date:%s" % date)
return False
strategic_conf ={}
strategic_conf.update(conf)
strategic_conf['stock']=stock
strategic = Strategic(conf = strategic_conf)
strategicResult = strategic.compute()
path = os.path.join(conf.get("SYS_HOME"),conf.get("STRATEGIC_DATA_PATH",STRATEGIC_DATA_PATH),date+SUFFIX)
logging.debug("Dump strategic result to %s.\nStrategic result is:\n %s" % (strategic.data,path))
Dumper.dump(path = path,data = strategicResult)
logging.info("Finish strategic compute of date %s "%date)
logging.info("Start Bayes statistics.")
bayesHandler = Bayes(conf)
bayes = bayesHandler.posterior()
if bayes != False:
Dumper.dump(data = bayes,\
path = os.path.join(conf.get("SYS_HOME"),conf.get("BAYES_DATA_PATH",BAYES_DATA_PATH),date+SUFFIX))
logging.info("Bayes statistics run success.")
logging.debug("Bayes statistics run result %s" % bayes)
return True
else:
logging.info("Bayes statistics run fail.")
return False
def run(conf={}):
date = Date.getInstantDate() #instant date 应该Date.getDate +1,key的编码问题
conf['date']=date
logging.info("start downloading instant data.Date is %s" % conf['date'])
downloader = Downloader(conf = conf)
downloader.download("instant")
logging.info("start computing instant data.Date is %s"% conf['date'])
stock=Stock(conf)
extract = Extract(conf = conf)
extract.extract(project = "instant", stock = stock, date = date)
logging.info("start instant strategic data.Date is %s" %conf['date'])
strategic_conf ={}
strategic_conf.update(conf)
strategic_conf['stock']=stock
strategic = Strategic(conf = strategic_conf)
strategicResult = strategic.compute()
Dumper.dump(path = os.path.join(conf.get("SYS_HOME"),conf.get("INSTANT_DATA_PATH"),"strategic.json"),data = strategicResult)
logging.info("Start Bayes statistics.Date is %s"% conf['date'])
conf['strategic']=strategic
bayesHandler = Bayes(conf)
bayes = bayesHandler.posterior()
Dumper.dump(path = os.path.join(conf.get("SYS_HOME"),conf.get("INSTANT_DATA_PATH"),"bayes.json"),data = bayes)
logging.info("Start report.Date is %s"% conf['date'])
report = Report(conf = conf)
report.compute(strategic = strategic , statistics = bayes)
print report
#profile
profile_conf = {"stock":stock,"date":date}
profile_conf.update(conf)
profile = Profile(profile_conf)
profile.viewProfile()
path = os.path.join(conf.get("SYS_HOME"),conf.get("INSTANT_REPORT_DATA_PATH"))
Dumper.dump(path = path,data = report.data)
return report.data
def run(conf={}):
"""
传入日期，读入projects和传入日期的statistics.进行计算，得到符合条件的strategic和股票code
例如一个report的project为“短线股票池”,里面定义了多少天内上涨概率大于多少的公式。如果某策略的统计数据符合该公式，则返回该策略的股票代码及其他相关信息。
>> reporter.run({"statistics":case['statistics']})
更新 statistics => probability
注:这里statistics主要指统计得到的bayes值.
"""
logging.info("Report program start.")
logging.debug("Report config %s" % str(conf))
if not "stock" in conf:
conf["stock"] = Stock(conf)
if not "date" in conf:
conf["date"] = Date.getDate()
# load train/statistics data
if "statistics" in conf:
statistics = conf.get("statistics") # 载入指定日期的监控策略
else:
path = os.path.join(conf.get("SYS_HOME"), conf.get("BAYES_DATA_PATH", BAYES_DATA_PATH), conf["date"] + SUFFIX)
statistics = Reader.read(path=path)
# predict
logging.info("Start strategic app.Date is %s" % conf["date"])
strategic = Strategic(conf=conf)
strategic.check()
strategic.compute()
strategic.dump()
logging.info("Finish strategic compute of date %s " % conf["date"])
# generate report
report = Report(conf=conf)
report.compute(strategic, statistics)
report.check()
report.dump()
return report