def __init__(self):
self.clear()
# Read Yaml File to find all the cloud configurations present
self.config()
try:
self.metric_api = FGMetricsAPI()
except:
pass
def __init__(self):
self.clear()
# Read Yaml File to find all the cloud configurations present
self.config()
try:
self.metric_api = FGMetricsAPI()
except:
pass
class metrics:
#
# global variables that define the information managed by this class
#
# dict that holds vms, flavors, images for al iaas
clouds = {}
# array with keys from the user
keys = []
#
# variables that we can most likely eliminate
#
# user needs to come from credential ...
user = "******"
#
# initialization methods
#
def __init__(self):
self.clear()
# Read Yaml File to find all the cloud configurations present
self.config()
try:
self.metric_api = FGMetricsAPI()
except:
pass
def clear(self):
self.clouds = {}
self.keys = []
self.user = "******"
#
# some metric methods
#
def get_metrics_cli(self, args):
""" Get usage data from FG Metric CLI"""
""" This is replica with get_metrics but using CLI instead of API """
"""
Args:
args (dict): parameters for CLI with option
Return:
(dict): output of fgmetric in a dict type
Raise:
n/a
"""
try:
res = fgmetric(
args) # args should be list-lized before send it out as a parameter
return json.loads(res, object_hook=json_util.object_hook)
except:
pass
def get_metrics(self, args):
"""Get usage data from FG Metrics"""
if not self.metric_api:
return
try:
args["user"] = args["user"] or self.user
self._set_metric_api_vars(args)
# print args
stats = self.metric_api._set_dict_vars()
metrics = self.metric_api.get_stats()
stats["stats"] = metrics
self.metrics = stats
# print self.metrics
except:
print sys.exc_info()
pass
return self.metrics
def get_realtime_metrics(self, args):
""" get real-time usage data from FG Metrics"""
# IN DEVELOPMENT
if not self.metric_api:
return
try:
print 1
except:
pass
def _set_metric_api_vars(self, args):
self.metric_api.set_date(args["s_date"], args["e_date"])
self.metric_api.set_metric(
"count runtime cores mem disks") # args["metric"])
self.metric_api.set_user(args["user"])
self.metric_api.set_cloud(args["cloud"])
self.metric_api.set_hostname(args["host"])
self.metric_api.set_period(args["period"])
#
# the configuration method that must be called to get the cloud info
#
def config(self):
"""
reads the cloudmesh yaml file that defines which clouds build
the cloudmesh
"""
configuration = cm_config()
pp.pprint(configuration)
for cloud_name in configuration.keys():
print "--------------------"
try:
credential = configuration.get(key=cloud_name)
cloud_type = credential['cm_type']
print credential
print ">>>>>>>", cloud_name, cloud_type
if cloud_type in ['openstack', 'eucalyptus']:
print "AAAAA"
self.clouds[cloud_name] = {
'cm_type': cloud_type, 'credential': credential}
print "BBBB"
try:
self.update(cloud_name, cloud_type)
self.clouds[cloud_name] = {
'cm_type': cloud_type, 'credential': credential}
except:
print "ERROR: can not connect to", cloud_name
print "CCCC"
except Exception, e:
print "ERROR: Not a cloud:", cloud_name, e
return
class cloudmesh:
#
# global variables that define the information managed by this class
#
datastore = "data/clouds.txt"
# dict that holds vms, flavors, images for al iaas
clouds = {}
# array with keys from the user
keys = []
#
# variables that we can most likely eliminate
#
# user needs to come from credential ...
user = "******"
#
# initialization methods
#
def __init__(self):
self.clear()
# Read Yaml File to find all the cloud configurations present
self.config()
try:
self.metric_api = FGMetricsAPI()
except:
pass
def clear(self):
self.clouds = {}
self.keys = []
self.user = "******"
#
# some metric methods
#
def get_metrics_cli(self, args):
""" Get usage data from FG Metric CLI"""
""" This is replica with get_metrics but using CLI instead of API """
"""
Args:
args (dict): parameters for CLI with option
Return:
(dict): output of fgmetric in a dict type
Raise:
n/a
"""
try:
res = fgmetric(
args) # args should be list-lized before send it out as a parameter
return json.loads(res, object_hook=json_util.object_hook)
except:
pass
def get_metrics(self, args):
"""Get usage data from FG Metrics"""
if not self.metric_api:
return
try:
args["user"] = args["user"] or self.user
self._set_metric_api_vars(args)
# print args
stats = self.metric_api._set_dict_vars()
metrics = self.metric_api.get_stats()
stats["stats"] = metrics
self.metrics = stats
# print self.metrics
except:
print sys.exc_info()
pass
return self.metrics
def _set_metric_api_vars(self, args):
self.metric_api.set_date(args["s_date"], args["e_date"])
self.metric_api.set_metric(
"count runtime cores mem disks") # args["metric"])
self.metric_api.set_user(args["user"])
self.metric_api.set_cloud(args["cloud"])
self.metric_api.set_hostname(args["host"])
self.metric_api.set_period(args["period"])
#
# the configuration method that must be called to get the cloud info
#
# Updated the config method. Now It reads the config correctly.
def config(self):
"""
reads the cloudmesh yaml file that defines which clouds build
the cloudmesh
"""
configuration = cm_config()
all_keys = configuration.keys()
all_keys = all_keys[2:]
for name in all_keys:
if str(name) != 'username' and str(name) != 'default':
credential = configuration.get(name)
print name
type = credential['cm_type']
self.clouds[name] = {'cm_type': type, 'credential': credential}
# self.update(name, type)
return
#
# importnat get methods
#
def get(self):
"""returns the dict that contains all the information"""
return self.clouds
#
# important print methods
#
# includes sanitizing to remove the credentials
#
def __str__(self):
tmp = self._sanitize()
print tmp
def _sanitize(self):
# copy the self.cloud
# delete the attributes called credential for all clouds
all_keys = self.clouds.keys()
for cloud in all_keys:
self.clouds[cloud]['credential'] = {}
return self.clouds
def dump(self):
tmp = self._sanitize()
print json.dumps(tmp, indent=4)
#
# the refresh method that gets upto date information for cloudmesh
# If cloudname is provided only that cloud will be refreshed
# else all the clouds will be refreshed
#
def refresh(self, cloudname=None):
print "Refershing cloudname %s" % cloudname
servers = {}
cloud = None
if(cloudname is None):
all_clouds = self.clouds.keys()
for cloud_name in all_clouds:
try:
type = self.clouds[cloud_name]['cm_type']
if type == 'openstack':
cloud = openstack(cloud_name)
elif type == 'eucalyptus':
# Where do i find the project name ? Is there a defaul
# one ?
cloud = eucalyptus(cloud_name, 'fg-82')
elif type == 'azure':
cloud = azure.cm_azure()
cloud.refresh()
self.clouds[cloud_name]['flavors'] = cloud.flavors
self.clouds[cloud_name]['images'] = cloud.images
self.clouds[cloud_name]['servers'] = cloud.servers
except Exception, e:
print e
else:
class metrics:
#
# global variables that define the information managed by this class
#
# dict that holds vms, flavors, images for al iaas
clouds = {}
# array with keys from the user
keys = []
#
# variables that we can most likely eliminate
#
# user needs to come from credential ...
user = "******"
#
# initialization methods
#
def __init__(self):
self.clear()
# Read Yaml File to find all the cloud configurations present
self.config()
try:
self.metric_api = FGMetricsAPI()
except:
pass
def clear(self):
self.clouds = {}
self.keys = []
self.user = "******"
#
# some metric methods
#
def get_metrics_cli(self, args):
""" Get usage data from FG Metric CLI"""
""" This is replica with get_metrics but using CLI instead of API """
"""
Args:
args (dict): parameters for CLI with option
Return:
(dict): output of fgmetric in a dict type
Raise:
n/a
"""
try:
res = fgmetric(
args
) # args should be list-lized before send it out as a parameter
return json.loads(res, object_hook=json_util.object_hook)
except:
pass
def get_metrics(self, args):
"""Get usage data from FG Metrics"""
if not self.metric_api:
return
try:
args["user"] = args["user"] or self.user
self._set_metric_api_vars(args)
# print args
stats = self.metric_api._set_dict_vars()
metrics = self.metric_api.get_stats()
stats["stats"] = metrics
self.metrics = stats
# print self.metrics
except:
print sys.exc_info()
pass
return self.metrics
def get_realtime_metrics(self, args):
""" get real-time usage data from FG Metrics"""
# IN DEVELOPMENT
if not self.metric_api:
return
try:
print 1
except:
pass
def _set_metric_api_vars(self, args):
self.metric_api.set_date(args["s_date"], args["e_date"])
self.metric_api.set_metric(
"count runtime cores mem disks") # args["metric"])
self.metric_api.set_user(args["user"])
self.metric_api.set_cloud(args["cloud"])
self.metric_api.set_hostname(args["host"])
self.metric_api.set_period(args["period"])
#
# the configuration method that must be called to get the cloud info
#
def config(self):
"""
reads the cloudmesh yaml file that defines which clouds build
the cloudmesh
"""
configuration = cm_config()
pp.pprint(configuration)
for cloud_name in configuration.keys():
print "--------------------"
try:
credential = configuration.get(key=cloud_name)
cloud_type = credential['cm_type']
print credential
print ">>>>>>>", cloud_name, cloud_type
if cloud_type in ['openstack', 'eucalyptus']:
print "AAAAA"
self.clouds[cloud_name] = {
'cm_type': cloud_type,
'credential': credential
}
print "BBBB"
try:
self.update(cloud_name, cloud_type)
self.clouds[cloud_name] = {
'cm_type': cloud_type,
'credential': credential
}
except:
print "ERROR: can not connect to", cloud_name
print "CCCC"
except Exception, e:
print "ERROR: Not a cloud:", cloud_name, e
return