本文整理汇总了Python中datalogger.DataLogger.datewalker方法的典型用法代码示例。如果您正苦于以下问题：Python DataLogger.datewalker方法的具体用法？Python DataLogger.datewalker怎么用？Python DataLogger.datewalker使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类datalogger.DataLogger的用法示例。
在下文中一共展示了DataLogger.datewalker方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_datewalk
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import datewalker [as 别名]
def get_datewalk(args):
"""
get list of datestrings between two datestrings
ex: Datalogger/get_datewalk/{datestring1}/{datestring2}
returns:
json(list of datestrings)
"""
datestring1, datestring2 = args[:2]
data = tuple(DataLogger.datewalker(datestring1, datestring2))
return json.dumps(data)示例2: test_statics
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import datewalker [as 别名]
def test_statics(self):
self.assertTrue(isinstance(DataLogger.get_user(self.basedir), basestring))
self.assertTrue(isinstance(DataLogger.get_group(self.basedir), basestring))
self.assertTrue(isinstance(DataLogger.get_yesterday_datestring(), basestring))
lbd = DataLogger.get_last_business_day_datestring()
self.assertTrue(isinstance(DataLogger.get_last_business_day_datestring(), basestring))
self.assertTrue(isinstance(DataLogger.datestring_to_date(lbd), datetime.date))
for datestring in DataLogger.datewalker("2016-01-01", "2016-02-29"):
self.assertTrue(isinstance(datestring, basestring))
for datestring in DataLogger.monthwalker("2016-02"):
self.assertTrue(isinstance(datestring, basestring))
self.assertEqual(list(DataLogger.monthwalker("2016-02"))[-1], "2016-02-29")
self.assertTrue(isinstance(DataLogger.get_ts_for_datestring("2016-01-01"), tuple))
self.assertTrue(isinstance(DataLogger.get_ts_for_datestring("2016-01-01")[0], float))
self.assertTrue(isinstance(DataLogger.get_ts_for_datestring("2016-01-01")[1], float))示例3: main
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import datewalker [as 别名]
def main():
for datestring in tuple(DataLogger.datewalker(startdate, args.enddate)):
start_ts, stop_ts = DataLogger.get_ts_for_datestring(datestring)
logging.debug("working on datestring %s (from %s to %s)", datestring, start_ts, stop_ts)
for project in DataLogger.get_projects(args.basedir):
if args.project is not None:
if project != args.project:
logging.debug("skipping project %s", project)
continue
logging.debug("working on project %s", project)
for tablename in DataLogger.get_tablenames(args.basedir, project):
if args.tablename is not None:
if tablename != args.tablename:
logging.debug("skipping tablename %s", tablename)
continue
logging.debug("working on tablename %s", tablename)
archive(project, tablename, datestring)示例4: get_lt_ts
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import datewalker [as 别名]
def get_lt_ts(self, project, tablename, args):
"""
get longtime statistical values
"""
# datestringStart + "/" + datestringStop + "/" + Base64.encode(indexKey) + "/" + valueKeyname + "/" + statFuncName
start, stop, index_key_enc, value_keyname, stat_func_name = args
index_key = tuple([unicode(key_value) for key_value in eval(base64.b64decode(index_key_enc))])
datalogger = DataLogger(basedir, project, tablename)
filterkeys = dict(zip(datalogger.index_keynames, index_key))
ret_data = []
for datestring in datalogger.datewalker(start, stop):
try:
tsastats = datalogger.load_tsastats(datestring, filterkeys=filterkeys)
ret_data.append([datestring, tsastats[index_key][value_keyname][stat_func_name]])
except DataLoggerRawFileMissing as exc:
logging.error("No Input File for datestring %s found, skipping this date", datestring)
except DataLoggerLiveDataError as exc:
logging.error("Reading from live data is not allowed, skipping this data, and ending loop")
break
return json.dumps(ret_data)