def deleteModel(metricId):
try:
with web.ctx.connFactory() as conn:
metricRow = repository.getMetric(conn, metricId)
except app_exceptions.ObjectNotFoundError:
raise web.notfound("ObjectNotFoundError Metric not found: Metric ID: %s"
% metricId)
if metricRow.datasource == "autostack":
raise NotAllowedResponse(
{"result":
("Not a standalone model=%s; datasource=%s. Unable"
" to DELETE from this endpoint")
% (metricId, metricRow.datasource,)
})
log.debug("Deleting model for %s metric=%s", metricRow.datasource,
metricId)
with web.ctx.connFactory() as conn:
repository.deleteModel(conn, metricId)
# NOTE: this is the new way using datasource adapters
try:
createDatasourceAdapter(metricRow.datasource).unmonitorMetric(metricId)
except app_exceptions.ObjectNotFoundError:
raise web.notfound(
"ObjectNotFoundError Metric not found: Metric ID: %s" % (metricId,))
return utils.jsonEncode({'result': 'success'})
def DELETE(self, metricName):
adapter = createDatasourceAdapter("custom")
try:
adapter.deleteMetricByName(metricName)
except app_exceptions.ObjectNotFoundError:
raise web.notfound("Metric not found. Metric name=%s" % (metricName,))
self.addStandardHeaders()
return json.dumps({'result': 'success'})
def _exportNativeMetric(metric): return createDatasourceAdapter(metric.datasource).exportModel(metric.uid)
def createModel(cls, modelSpec=None):
"""
NOTE MER-3479: this code path is presently incorrectly used for two
purposes:
* Creating CloudWatch models (correct)
* Importing of all types of metrics (not desirable; there should be a
separate endpoint or an import-specific flag in this endpoint for
importing that facilitates slightly different behavior, such as
suppressing certain errors to allow for re-import in case of tranisent
error part way through the prior import)
"""
if not modelSpec:
# Metric data is missing
log.error("Data is missing in request, raising BadRequest exception")
raise InvalidRequestResponse({"result": "Metric data is missing"})
# TODO MER-3479: import using import-specific endpoint
# NOTE: pending MER-3479, this is presently a hack for exercising
# the adapter import API
importing = False
if modelSpec.get("datasource") == "custom":
# Convert to new htm-it-custom metric modelSpec format
# NOTE: backward compatibility during first phase refactoring
modelSpec = cls.upgradeCustomModelSpec(modelSpec)
if "data" in modelSpec:
importing = True
elif (modelSpec.get("datasource") == "cloudwatch" and
"filters" not in modelSpec):
if "type" in modelSpec:
# The legacy cloudwatch import modelSpec had the "type" property
assert modelSpec["type"] == "metric", repr(modelSpec)
importing = True
# Convert to new htm-it-custom metric modelSpec format
# NOTE: backward compatibility during first phase refactoring
modelSpec = cls.upgradeCloudwatchModelSpec(modelSpec)
elif (modelSpec.get("datasource") == "autostack" or
modelSpec.get("type") == "autostack"):
importing = True
# Convert to new autostack metric modelSpec format
# NOTE: backward compatibility during first phase refactoring
modelSpec = cls.upgradeAutostackModelSpec(modelSpec)
try:
with web.ctx.connFactory() as conn:
with conn.begin():
adapter = createDatasourceAdapter(modelSpec["datasource"])
if modelSpec["datasource"] == "custom":
checkQuotaForCustomMetricAndRaise(conn)
else:
checkQuotaForInstanceAndRaise(
conn,
adapter.getInstanceNameForModelSpec(modelSpec))
try:
if importing:
# TODO MER-3479: import using import-specific endpoint
# NOTE: pending MER-3479, this is presently a hack for exercising
# the adapter import API
metricId = adapter.importModel(modelSpec)
else:
metricId = adapter.monitorMetric(modelSpec)
except app_exceptions.MetricAlreadyMonitored as e:
metricId = e.uid
return repository.getMetric(conn, metricId)
except (ValueError, app_exceptions.MetricNotSupportedError) as e:
raise InvalidRequestResponse({"result": repr(e)})