本文整理汇总了Python中datalogger.DataLogger.load_quantile方法的典型用法代码示例。如果您正苦于以下问题：Python DataLogger.load_quantile方法的具体用法？Python DataLogger.load_quantile怎么用？Python DataLogger.load_quantile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.load_quantile方法的5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_quantile_web
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import load_quantile [as 别名]
def get_quantile_web(self, args):
"""
return exported QuantileArray json formatted, special
version for use in webpages to render with tablesorter
in difference to get_quantile the value_keyname has to be given
ex: Datalogger/get_quantile/{projectname}/{tablename}/{datestring}
[
dict of index_keys : dict of quantile,
list of index_keys,
list of value_names,
]
returns:
json(quantile_dict)
"""
project, tablename, datestring, value_keyname = args[:4]
datalogger = DataLogger(basedir, project, tablename)
qa = datalogger.load_quantile(datestring)
ret_data = []
# build header
ret_data.append(list(datalogger.index_keynames) + ["Q0", "Q1", "Q2", "Q3", "Q4"])
# data part
for k, v in qa[value_keyname].quantile.items():
ret_data.append(list(k) + v.values())
return json.dumps(ret_data)示例2: get_quantile
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import load_quantile [as 别名]
def get_quantile(self, project, tablename, datestring, args):
"""
return exported QuantileArray json formatted
ex: Datalogger/get_quantile/{projectname}/{tablename}/{datestring}
[
dict of index_keys : dict of quantile,
list of index_keys,
list of value_names,
]
returns:
json(quantile_dict)
"""
logging.info("optional arguments received: %s", args)
datalogger = DataLogger(basedir, project, tablename)
quantile = datalogger.load_quantile(datestring)
if len(args) > 0:
value_keyname = args[0]
ret_data = []
# build header
ret_data.append(list(datalogger.index_keynames) + ["Q0", "Q1", "Q2", "Q3", "Q4"])
# data part
for k, v in quantile[value_keyname].quantile.items():
ret_data.append(list(k) + v.values())
return json.dumps(ret_data)
return quantile.to_json()示例3: gen_caches
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import load_quantile [as 别名]
def gen_caches(project, tablename, datestring):
datalogger = DataLogger(basedir, project, tablename)
caches = datalogger.get_caches(datestring)
suffix = "%s/%s/%s\t" % (datestring, project, tablename)
data = None
if caches["tsa"]["raw"] is None:
if len(caches["tsa"]["keys"]) == 0:
logging.info("%s RAW Data not availabale maybe archived, tsa exists already", suffix)
else:
logging.debug("%s RAW Data is missing, no tsa archive exists", suffix)
else:
if len(caches["tsa"]["keys"]) == 0:
logging.info("%s TSA Archive missing, calling get_tsa and load_tsastats", suffix)
data = datalogger.load_tsa(datestring)
else:
if len(caches["tsastat"]["keys"]) == 0:
logging.info("%s TSASTAT Archive missing, calling load_tsastats", suffix)
data = datalogger.load_tsastats(datestring)
else:
if len(caches["ts"]["keys"]) == 0:
logging.info("%s there are no ts archives, something went wrong, or tsa is completely empty, calling load_tsastats", suffix)
data = datalogger.load_tsastats(datestring)
else:
logging.debug("%s All fine", suffix)
if caches["quantile"]["exists"] is not True:
logging.info("%s Quantile archive is missing, calling load_quantile", suffix)
data = datalogger.load_quantile(datestring)
del data
del caches
del datalogger示例4: get_quantile
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import load_quantile [as 别名]
def get_quantile(self, args):
"""
return exported QuantileArray json formatted
ex: Datalogger/get_quantile/{projectname}/{tablename}/{datestring}
[
dict of index_keys : dict of quantile,
list of index_keys,
list of value_names,
]
returns:
json(quantile_dict)
"""
project, tablename, datestring = args[:3]
datalogger = DataLogger(basedir, project, tablename)
quantile = datalogger.load_quantile(datestring)
return quantile.to_json()示例5: Test
# 需要导入模块: from datalogger import DataLogger [as 别名]
# 或者: from datalogger.DataLogger import load_quantile [as 别名]
class Test(unittest.TestCase):
def setUp(self):
self.basedir = "/var/rrd"
self.datestring = "2015-11-30"
self.project = DataLogger.get_projects(self.basedir)[0]
self.tablename = DataLogger.get_tablenames(self.basedir, self.project)[0]
self.datalogger = DataLogger(self.basedir, self.project, self.tablename)
def test_simple(self):
self.assertTrue(self.datalogger.project == self.project)
self.assertTrue(self.datalogger.tablename == self.tablename)
self.assertTrue(isinstance(self.datalogger.delimiter, basestring))
self.assertTrue(isinstance(self.datalogger.ts_keyname, basestring))
self.assertTrue(isinstance(self.datalogger.headers, tuple))
self.assertTrue(isinstance(self.datalogger.value_keynames, tuple))
self.assertTrue(all((keyname in self.datalogger.headers for keyname in self.datalogger.value_keynames)))
self.assertTrue(isinstance(self.datalogger.index_keynames, tuple))
self.assertTrue(all((keyname in self.datalogger.headers for keyname in self.datalogger.index_keynames)))
self.assertTrue(isinstance(self.datalogger.blacklist, tuple))
self.assertTrue(all((keyname in self.datalogger.headers for keyname in self.datalogger.blacklist)))
self.assertTrue(isinstance(self.datalogger.raw_basedir, basestring))
self.assertTrue(os.path.exists(self.datalogger.raw_basedir))
self.assertTrue(os.path.isdir(self.datalogger.raw_basedir))
self.assertTrue(isinstance(self.datalogger.global_cachedir, basestring))
self.assertTrue(os.path.exists(self.datalogger.global_cachedir))
self.assertTrue(os.path.isdir(self.datalogger.global_cachedir))
# meta is something like this
# {u'ts_keyname': u'ts',
# 'stat_func_names': [u'count', ... ],
# u'interval': 300,
# u'blacklist': [],
# u'headers': [u'ts', u'http_host', ... ],
# u'delimiter': u'\t',
# u'value_keynames': {
# u'actconn': u'asis',
# u'hits': u'asis',
# ...
# },
# u'index_keynames': [u'http_host']}
self.assertTrue(self.datalogger.meta["headers"] == list(self.datalogger.headers))
self.assertTrue(self.datalogger.meta["value_keynames"].keys() == list(self.datalogger.value_keynames))
self.assertTrue(self.datalogger.meta["index_keynames"] == list(self.datalogger.index_keynames))
self.assertTrue(self.datalogger.meta["blacklist"] == list(self.datalogger.blacklist))
self.assertTrue(self.datalogger.meta["delimiter"] == self.datalogger.delimiter)
self.assertTrue(self.datalogger.meta["ts_keyname"] == self.datalogger.ts_keyname)
self.assertTrue(isinstance(self.datalogger.meta["stat_func_names"], list))
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))
def test_data(self):
self.datalogger.load_tsa(self.datestring)
self.datalogger.load_tsastats(self.datestring)
self.datalogger.load_correlationmatrix(self.datestring)
self.datalogger.load_quantile(self.datestring)