def set_alarm_state(self, req):
"""
Implements SetAlarmState API action
"""
self._enforce(req, "SetAlarmState")
# Map from AWS state names to those used in the engine
state_map = {
"OK": engine_api.WATCH_STATE_OK,
"ALARM": engine_api.WATCH_STATE_ALARM,
"INSUFFICIENT_DATA": engine_api.WATCH_STATE_NODATA,
}
con = req.context
parms = dict(req.params)
# Get mandatory parameters
name = api_utils.get_param_value(parms, "AlarmName")
state = api_utils.get_param_value(parms, "StateValue")
if state not in state_map:
msg = _("Invalid state %(state)s, " "expecting one of %(expect)s") % {
"state": state,
"expect": state_map.keys(),
}
logger.error(msg)
return exception.HeatInvalidParameterValueError(msg)
logger.debug(_("setting %(name)s to %(state)s") % {"name": name, "state": state_map[state]})
try:
self.rpc_client.set_watch_state(con, watch_name=name, state=state_map[state])
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
return api_utils.format_response("SetAlarmState", "")
def set_alarm_state(self, req):
"""
Implements SetAlarmState API action
"""
self._enforce(req, 'SetAlarmState')
# Map from AWS state names to those used in the engine
state_map = {'OK': engine_api.WATCH_STATE_OK,
'ALARM': engine_api.WATCH_STATE_ALARM,
'INSUFFICIENT_DATA': engine_api.WATCH_STATE_NODATA}
con = req.context
parms = dict(req.params)
# Get mandatory parameters
name = api_utils.get_param_value(parms, 'AlarmName')
state = api_utils.get_param_value(parms, 'StateValue')
if state not in state_map:
msg = _('Invalid state %(state)s, '
'expecting one of %(expect)s') % {
'state': state,
'expect': state_map.keys()}
LOG.error(msg)
return exception.HeatInvalidParameterValueError(msg)
LOG.debug("setting %(name)s to %(state)s" % {
'name': name, 'state': state_map[state]})
try:
self.rpc_client.set_watch_state(con, watch_name=name,
state=state_map[state])
except messaging.RemoteError as ex:
return exception.map_remote_error(ex)
return api_utils.format_response("SetAlarmState", "")
def set_alarm_state(self, req):
"""
Implements SetAlarmState API action
"""
self._enforce(req, 'SetAlarmState')
# Map from AWS state names to those used in the engine
state_map = {'OK': engine_api.WATCH_STATE_OK,
'ALARM': engine_api.WATCH_STATE_ALARM,
'INSUFFICIENT_DATA': engine_api.WATCH_STATE_NODATA}
con = req.context
parms = dict(req.params)
# Get mandatory parameters
name = api_utils.get_param_value(parms, 'AlarmName')
state = api_utils.get_param_value(parms, 'StateValue')
if state not in state_map:
msg = _('Invalid state %(state)s, '
'expecting one of %(expect)s') % {
'state': state,
'expect': state_map.keys()}
logger.error(msg)
return exception.HeatInvalidParameterValueError(msg)
logger.debug("setting %(name)s to %(state)s" % {
'name': name, 'state': state_map[state]})
try:
self.rpc_client.set_watch_state(con, watch_name=name,
state=state_map[state])
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
return api_utils.format_response("SetAlarmState", "")
def put_metric_data(self, req):
"""
Implements PutMetricData API action
"""
con = req.context
parms = dict(req.params)
namespace = api_utils.get_param_value(parms, 'Namespace')
# Extract data from the request so we can pass it to the engine
# We have to do this in two passes, because the AWS
# query format nests the dimensions within the MetricData
# query-parameter-list (see AWS PutMetricData docs)
# extract_param_list gives a list-of-dict, which we then
# need to process (each dict) for dimensions
metric_data = api_utils.extract_param_list(parms, prefix='MetricData')
if not len(metric_data):
logger.error("Request does not contain required MetricData")
return exception.HeatMissingParameterError("MetricData list")
watch_name = None
dimensions = []
for p in metric_data:
dimension = api_utils.extract_param_pairs(p,
prefix='Dimensions',
keyname='Name',
valuename='Value')
if 'AlarmName' in dimension:
watch_name = dimension['AlarmName']
else:
dimensions.append(dimension)
# We expect an AlarmName dimension as currently the engine
# implementation requires metric data to be associated
# with an alarm. When this is fixed, we can simply
# parse the user-defined dimensions and add the list to
# the metric data
if not watch_name:
logger.error("Request does not contain AlarmName dimension!")
return exception.HeatMissingParameterError("AlarmName dimension")
# Extract the required data from the metric_data
# and format dict to pass to engine
data = {
'Namespace': namespace,
api_utils.get_param_value(metric_data[0], 'MetricName'): {
'Unit': api_utils.get_param_value(metric_data[0], 'Unit'),
'Value': api_utils.get_param_value(metric_data[0], 'Value'),
'Dimensions': dimensions
}
}
try:
self.engine_rpcapi.create_watch_data(con, watch_name, data)
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
result = {'ResponseMetadata': None}
return api_utils.format_response("PutMetricData", result)
def put_metric_data(self, req):
"""
Implements PutMetricData API action
"""
self._enforce(req, 'PutMetricData')
con = req.context
parms = dict(req.params)
namespace = api_utils.get_param_value(parms, 'Namespace')
# Extract data from the request so we can pass it to the engine
# We have to do this in two passes, because the AWS
# query format nests the dimensions within the MetricData
# query-parameter-list (see AWS PutMetricData docs)
# extract_param_list gives a list-of-dict, which we then
# need to process (each dict) for dimensions
metric_data = api_utils.extract_param_list(parms, prefix='MetricData')
if not len(metric_data):
logger.error("Request does not contain required MetricData")
return exception.HeatMissingParameterError("MetricData list")
watch_name = None
dimensions = []
for p in metric_data:
dimension = api_utils.extract_param_pairs(p,
prefix='Dimensions',
keyname='Name',
valuename='Value')
if 'AlarmName' in dimension:
watch_name = dimension['AlarmName']
else:
dimensions.append(dimension)
# We expect an AlarmName dimension as currently the engine
# implementation requires metric data to be associated
# with an alarm. When this is fixed, we can simply
# parse the user-defined dimensions and add the list to
# the metric data
if not watch_name:
logger.error("Request does not contain AlarmName dimension!")
return exception.HeatMissingParameterError("AlarmName dimension")
# Extract the required data from the metric_data
# and format dict to pass to engine
data = {'Namespace': namespace,
api_utils.get_param_value(metric_data[0], 'MetricName'): {
'Unit': api_utils.get_param_value(metric_data[0], 'Unit'),
'Value': api_utils.get_param_value(metric_data[0],
'Value'),
'Dimensions': dimensions}}
try:
self.engine_rpcapi.create_watch_data(con, watch_name, data)
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
result = {'ResponseMetadata': None}
return api_utils.format_response("PutMetricData", result)
def put_metric_data(self, req):
"""
Implements PutMetricData API action
"""
self._enforce(req, 'PutMetricData')
con = req.context
parms = dict(req.params)
namespace = api_utils.get_param_value(parms, 'Namespace')
# Extract data from the request so we can pass it to the engine
# We have to do this in two passes, because the AWS
# query format nests the dimensions within the MetricData
# query-parameter-list (see AWS PutMetricData docs)
# extract_param_list gives a list-of-dict, which we then
# need to process (each dict) for dimensions
metric_data = api_utils.extract_param_list(parms, prefix='MetricData')
if not len(metric_data):
LOG.error(_LE("Request does not contain required MetricData"))
return exception.HeatMissingParameterError("MetricData list")
watch_name = None
dimensions = []
for p in metric_data:
dimension = api_utils.extract_param_pairs(p,
prefix='Dimensions',
keyname='Name',
valuename='Value')
if 'AlarmName' in dimension:
watch_name = dimension['AlarmName']
else:
dimensions.append(dimension)
# Extract the required data from the metric_data
# and format dict to pass to engine
data = {
'Namespace': namespace,
api_utils.get_param_value(metric_data[0], 'MetricName'): {
'Unit': api_utils.get_param_value(metric_data[0], 'Unit'),
'Value': api_utils.get_param_value(metric_data[0], 'Value'),
'Dimensions': dimensions
}
}
try:
self.rpc_client.create_watch_data(con, watch_name, data)
except messaging.RemoteError as ex:
return exception.map_remote_error(ex)
result = {'ResponseMetadata': None}
return api_utils.format_response("PutMetricData", result)
def set_alarm_state(self, req):
"""
Implements SetAlarmState API action
"""
self._enforce(req, 'SetAlarmState')
# Map from AWS state names to those used in the engine
state_map = {
'OK': engine_api.WATCH_STATE_OK,
'ALARM': engine_api.WATCH_STATE_ALARM,
'INSUFFICIENT_DATA': engine_api.WATCH_STATE_NODATA
}
con = req.context
parms = dict(req.params)
# Get mandatory parameters
name = api_utils.get_param_value(parms, 'AlarmName')
state = api_utils.get_param_value(parms, 'StateValue')
if state not in state_map:
msg = _('Invalid state %(state)s, '
'expecting one of %(expect)s') % {
'state': state,
'expect': state_map.keys()
}
logger.error(msg)
return exception.HeatInvalidParameterValueError(msg)
# Check for optional parameters
# FIXME : We don't actually do anything with these in the engine yet..
state_reason = None
state_reason_data = None
if 'StateReason' in parms:
state_reason = parms['StateReason']
if 'StateReasonData' in parms:
state_reason_data = parms['StateReasonData']
logger.debug(
_("setting %(name)s to %(state)s") % {
'name': name,
'state': state_map[state]
})
try:
self.engine_rpcapi.set_watch_state(con,
watch_name=name,
state=state_map[state])
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
return api_utils.format_response("SetAlarmState", "")
def put_metric_data(self, req):
"""
Implements PutMetricData API action
"""
self._enforce(req, "PutMetricData")
con = req.context
parms = dict(req.params)
namespace = api_utils.get_param_value(parms, "Namespace")
# Extract data from the request so we can pass it to the engine
# We have to do this in two passes, because the AWS
# query format nests the dimensions within the MetricData
# query-parameter-list (see AWS PutMetricData docs)
# extract_param_list gives a list-of-dict, which we then
# need to process (each dict) for dimensions
metric_data = api_utils.extract_param_list(parms, prefix="MetricData")
if not len(metric_data):
logger.error(_("Request does not contain required MetricData"))
return exception.HeatMissingParameterError("MetricData list")
watch_name = None
dimensions = []
for p in metric_data:
dimension = api_utils.extract_param_pairs(p, prefix="Dimensions", keyname="Name", valuename="Value")
if "AlarmName" in dimension:
watch_name = dimension["AlarmName"]
else:
dimensions.append(dimension)
# Extract the required data from the metric_data
# and format dict to pass to engine
data = {
"Namespace": namespace,
api_utils.get_param_value(metric_data[0], "MetricName"): {
"Unit": api_utils.get_param_value(metric_data[0], "Unit"),
"Value": api_utils.get_param_value(metric_data[0], "Value"),
"Dimensions": dimensions,
},
}
try:
self.rpc_client.create_watch_data(con, watch_name, data)
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
result = {"ResponseMetadata": None}
return api_utils.format_response("PutMetricData", result)
def set_alarm_state(self, req):
"""
Implements SetAlarmState API action
"""
self._enforce(req, 'SetAlarmState')
# Map from AWS state names to those used in the engine
state_map = {'OK': engine_api.WATCH_STATE_OK,
'ALARM': engine_api.WATCH_STATE_ALARM,
'INSUFFICIENT_DATA': engine_api.WATCH_STATE_NODATA}
con = req.context
parms = dict(req.params)
# Get mandatory parameters
name = api_utils.get_param_value(parms, 'AlarmName')
state = api_utils.get_param_value(parms, 'StateValue')
if state not in state_map:
msg = _('Invalid state %(state)s, '
'expecting one of %(expect)s') % {
'state': state,
'expect': state_map.keys()}
logger.error(msg)
return exception.HeatInvalidParameterValueError(msg)
# Check for optional parameters
# FIXME : We don't actually do anything with these in the engine yet..
state_reason = None
state_reason_data = None
if 'StateReason' in parms:
state_reason = parms['StateReason']
if 'StateReasonData' in parms:
state_reason_data = parms['StateReasonData']
logger.debug(_("setting %(name)s to %(state)s") % {
'name': name, 'state': state_map[state]})
try:
self.engine_rpcapi.set_watch_state(con, watch_name=name,
state=state_map[state])
except rpc_common.RemoteError as ex:
return exception.map_remote_error(ex)
return api_utils.format_response("SetAlarmState", "")
def test_get_param_value(self):
params = {"foo": 123}
self.assertEqual(123, api_utils.get_param_value(params, "foo"))
def test_get_param_value(self):
params = {"foo": 123}
self.assertEqual(123, api_utils.get_param_value(params, "foo"))