class metric:
def activate_metric(self):
self.cmetrics = FGMetricAPI()
self.chart = FGCharts()
@command
def do_set(self, line, args):
"""
Usage:
set date START_DATE END_DATE
set metric (runtime|count|countusers)
set (node|nodename|hostname) NODE_NAME
set (cloud|platform) CLOUD_NAME
set period (monthly|quarterly|weekly|daily)
Set value for analysis
Arguments:
START_DATE start date to analyze
END_DATE end date to analyze
NODE_NAME set hostname
CLOUD_NAME set cloud service [openstack|eucalyptus|nimbus]
"""
print(args)
#print(vars(self.cmetrics))
#print(vars(self.cmetrics.search))
if args["date"]:
self.cmetrics.set_date(args["START_DATE"], args["END_DATE"])
elif args["metric"]:
self.cmetrics.set_metric(self._get_keyname(args, "runtime|count|countusers"))
elif args["cloud"] or args["platform"]:
self.cmetrics.set_cloud(args["CLOUD_NAME"])
elif args["node"] or args["nodename"] or args["hostname"]:
self.cmetrics.set_hostname(args["NODE_NAME"])
elif args["period"]:
self.cmetrics.set_period(self._get_keyname(args, "monthly|quarterly|weekly|daily"))
def _get_keyname(self, args, slist):
for i in slist.split("|"):
if args[i]:
return i
return None
######################################################################
# analyze commands
######################################################################
@command
def do_analyze(self, args, arguments):
"""
Usage:
analyze OWNERID METRIC --start START --end END
analyze METRIC --period [monthly|quarterly|weekly|daily]
analyze METRIC --month MONTH
analyze METRIC --year YEAR
analyze
Analyze the metric data
Arguments:
OWNERID The portal id of cloud users
METRIC The metric to be analyzed ... what values does it have? ...
START The start time n the format YYYY-MM-DDThh:mm:ss
END The end time n the format YYYY-MM-DDThh:mm:ss
MONTH The month in 01,02, ..., 12
YEAR The year to analyze
Options:
--start specifies the time when to start the analysis
--end specified the time when to end the analysis
--year the year
--month the month
--period the period
"""
#print(arguments)
#TEST ONLY
if arguments["OWNERID"]:
self.cmetrics.set_user(arguments['OWNERID'])
if arguments["START"] and arguments["END"]:
self.cmetrics.set_date(arguments["START"], arguments["END"])
if arguments["METRIC"]:
self.cmetrics.set_metric(arguments["METRIC"])
if arguments["--period"]:
self.cmetrics.set_period(self._get_keyname(arguments, "monthly|quarterly|weekly|daily")) #TEST arguments["
res = self.cmetrics.get_stats()
print res
######################################################################
# CVS commands
######################################################################
@command
def do_table(self, args, arguments):
"""
Usage:
table FILENAME
table --file FILENAME
Export the data in cvs format to a file. Former cvs command
Arguments:
FILENAME The filename
Options:
--filet specifies the filename
"""
print(arguments)
######################################################################
# chart
######################################################################
@command
def do_chart(self, line, args):
"""
Create a chart of a given type
Usage:
chart -t (bar|line|column|pie|motion|line-time-series) [-d DIR | --directory=DIR]
chart --type (bar|line|column|pie|motion|line-time-series) [-d DIR | --directory=DIR]
chart --api (highcharts|google|jquery|sparkline)
Options:
-d DIR --directory=DIR The directory [default: ./]
"""
print(args)
if args["--api"]:
api = self._get_keyname(args, "highcharts|google|jquery|sparkline")
else:
api = "highcharts"
self.chart.set_chart_api(api)
if args["-t"] or args["--type"]:
self.chart.set_type(self._get_keyname(args, "bar|line|column|pie|motion|line-time-series"))
if args["--directory"]:
self.chart.set_output_path(args["--directory"])
self.chart.set_filename( "TEST." + self.chart.output_type)
self.chart.set_series(self.cmetrics.get_series())
self.chart.set_title("TEST")
self.chart.display()
#self.chart.set_title_beta(', '.join(self.search.metric), self.search.period, self.search.groupby)
#self.chart.set_subtitle("source: " + str(self.search.get_platform_names()) + " on " + str(self.search.get_node_names()))
#self.chart.set_yaxis(self.search.timetype or "")
######################################################################
# count images
######################################################################
@command
def do_count_images(self, line, opts=None):
"""
Usage:
count_images [--detail | --summary] --user USER
Count bucket images per user (development level). It is
virtual machine image counts grouped by users or accounts
based on euca2ools. It shows that which user or account
currently owns how many virtual machine images on the system.
This metric is based on the euca2ool command.
euca-describe-images. that a eucalyptus user can see a list
of machine images.
Arguments:
USER The user
Options:
--user Show only images from the specified userid.
--detail Show details of the image (What would that be?)
--summary show summary about the image (default)
"""
print(arguments)
