from n2vc.exceptions import N2VCException, N2VCNotFound, K8sException
from osm_lcm.lcm_helm_conn import LCMHelmConn
+from osm_lcm.prometheus import parse_job
from copy import copy, deepcopy
from time import time
SUBOPERATION_STATUS_SKIP = -3
task_name_deploy_vca = "Deploying VCA"
- def __init__(self, msg, lcm_tasks, config, loop, prometheus=None):
+ def __init__(self, msg, lcm_tasks, config, loop):
"""
Init, Connect to database, filesystem storage, and messaging
:param config: two level dictionary with configuration. Top level should contain 'database', 'storage',
"helm-v3": self.conn_helm_ee,
}
- self.prometheus = prometheus
-
# create RO client
self.RO = NgRoClient(self.loop, **self.ro_config)
vdur_copy = deepcopy(vdur)
vdur_copy["status"] = "BUILD"
vdur_copy["status-detailed"] = None
- vdur_copy["ip-address"]: None
+ vdur_copy["ip-address"] = None
vdur_copy["_id"] = str(uuid4())
vdur_copy["count-index"] += count + 1
vdur_copy["id"] = "{}-{}".format(
# STEP 7 Configure metrics
if vca_type == "helm" or vca_type == "helm-v3":
- prometheus_jobs = await self.add_prometheus_metrics(
+ prometheus_jobs = await self.extract_prometheus_scrape_jobs(
ee_id=ee_id,
artifact_path=artifact_path,
ee_config_descriptor=ee_config_descriptor,
{db_update_entry + "prometheus_jobs": prometheus_jobs},
)
+ for job in prometheus_jobs:
+ self.db.set_one(
+ "prometheus_jobs",
+ {
+ "job_name": job["job_name"]
+ },
+ job,
+ upsert=True,
+ fail_on_empty=False
+ )
+
step = "instantiated at VCA"
self.logger.debug(logging_text + step)
# read from db: operation
stage[1] = "Getting nslcmop={} from db.".format(nslcmop_id)
db_nslcmop = self.db.get_one("nslcmops", {"_id": nslcmop_id})
+ if db_nslcmop["operationParams"].get("additionalParamsForVnf"):
+ db_nslcmop["operationParams"]["additionalParamsForVnf"] = json.loads(
+ db_nslcmop["operationParams"]["additionalParamsForVnf"]
+ )
ns_params = db_nslcmop.get("operationParams")
if ns_params and ns_params.get("timeout_ns_deploy"):
timeout_ns_deploy = ns_params["timeout_ns_deploy"]
# read from db: ns
stage[1] = "Getting nsr={} from db.".format(nsr_id)
+ self.logger.debug(logging_text + stage[1])
db_nsr = self.db.get_one("nsrs", {"_id": nsr_id})
stage[1] = "Getting nsd={} from db.".format(db_nsr["nsd-id"])
+ self.logger.debug(logging_text + stage[1])
nsd = self.db.get_one("nsds", {"_id": db_nsr["nsd-id"]})
self.fs.sync(db_nsr["nsd-id"])
db_nsr["nsd"] = nsd
# for each vnf in ns, read vnfd
for vnfr in db_vnfrs_list:
+ if vnfr.get("kdur"):
+ kdur_list = []
+ for kdur in vnfr["kdur"]:
+ if kdur.get("additionalParams"):
+ kdur["additionalParams"] = json.loads(kdur["additionalParams"])
+ kdur_list.append(kdur)
+ vnfr["kdur"] = kdur_list
+
db_vnfrs[vnfr["member-vnf-index-ref"]] = vnfr
vnfd_id = vnfr["vnfd-id"]
vnfd_ref = vnfr["vnfd-ref"]
"nsrs", db_nslcmop["nsInstanceId"], {db_update_entry: False}
)
- if vca_deployed.get("prometheus_jobs") and self.prometheus:
- await self.prometheus.update(remove_jobs=vca_deployed["prometheus_jobs"])
+ # Delete Prometheus Jobs if any
+ # This uses NSR_ID, so it will destroy any jobs under this index
+ self.db.del_list("prometheus_jobs", {"nsr_id": db_nslcmop["nsInstanceId"]})
if destroy_ee:
await self.vca_map[vca_type].delete_execution_environment(
step = "Getting information from database"
db_nslcmop = self.db.get_one("nslcmops", {"_id": nslcmop_id})
db_nsr = self.db.get_one("nsrs", {"_id": nsr_id})
+ if db_nslcmop["operationParams"].get("primitive_params"):
+ db_nslcmop["operationParams"]["primitive_params"] = json.loads(
+ db_nslcmop["operationParams"]["primitive_params"]
+ )
nsr_deployed = db_nsr["_admin"].get("deployed")
vnf_index = db_nslcmop["operationParams"].get("member_vnf_index")
db_vnfr = self.db.get_one(
"vnfrs", {"member-vnf-index-ref": vnf_index, "nsr-id-ref": nsr_id}
)
+ if db_vnfr.get("kdur"):
+ kdur_list = []
+ for kdur in db_vnfr["kdur"]:
+ if kdur.get("additionalParams"):
+ kdur["additionalParams"] = json.loads(kdur["additionalParams"])
+ kdur_list.append(kdur)
+ db_vnfr["kdur"] = kdur_list
step = "Getting vnfd from database"
db_vnfd = self.db.get_one("vnfds", {"_id": db_vnfr["vnfd-id"]})
for kdu_delta in delta.get("kdu-resource-delta", {}):
kdu_profile = get_kdu_resource_profile(db_vnfd, kdu_delta["id"])
kdu_name = kdu_profile["kdu-name"]
- resource_name = kdu_profile["resource-name"]
+ resource_name = kdu_profile.get("resource-name", "")
# Might have different kdus in the same delta
# Should have list for each kdu
and kdur.get("helm-version") == "v2"
):
k8s_cluster_type = "helm-chart"
- raise NotImplementedError
elif kdur.get("juju-bundle"):
k8s_cluster_type = "juju-bundle"
else:
kdu_instance = deployed_kdu.get("kdu-instance")
instance_num = await self.k8scluster_map[
k8s_cluster_type
- ].get_scale_count(resource_name, kdu_instance, vca_id=vca_id)
+ ].get_scale_count(
+ resource_name,
+ kdu_instance,
+ vca_id=vca_id,
+ cluster_uuid=deployed_kdu.get("k8scluster-uuid"),
+ kdu_model=deployed_kdu.get("kdu-model"),
+ )
kdu_replica_count = instance_num + kdu_delta.get(
"number-of-instances", 1
)
for kdu_delta in delta.get("kdu-resource-delta", {}):
kdu_profile = get_kdu_resource_profile(db_vnfd, kdu_delta["id"])
kdu_name = kdu_profile["kdu-name"]
- resource_name = kdu_profile["resource-name"]
+ resource_name = kdu_profile.get("resource-name", "")
if not scaling_info["kdu-delete"].get(kdu_name, None):
scaling_info["kdu-delete"][kdu_name] = []
and kdur.get("helm-version") == "v2"
):
k8s_cluster_type = "helm-chart"
- raise NotImplementedError
elif kdur.get("juju-bundle"):
k8s_cluster_type = "juju-bundle"
else:
kdu_instance = deployed_kdu.get("kdu-instance")
instance_num = await self.k8scluster_map[
k8s_cluster_type
- ].get_scale_count(resource_name, kdu_instance, vca_id=vca_id)
+ ].get_scale_count(
+ resource_name,
+ kdu_instance,
+ vca_id=vca_id,
+ cluster_uuid=deployed_kdu.get("k8scluster-uuid"),
+ kdu_model=deployed_kdu.get("kdu-model"),
+ )
kdu_replica_count = instance_num - kdu_delta.get(
"number-of-instances", 1
)
] = "Deleting the execution environments"
scale_process = "VCA"
for vca_info in vca_scaling_info:
- if vca_info["type"] == "delete":
+ if vca_info["type"] == "delete" and not vca_info.get("osm_kdu_id"):
member_vnf_index = str(vca_info["member-vnf-index"])
self.logger.debug(
logging_text + "vdu info: {}".format(vca_info)
] = "Scaling member_vnf_index={}, vdu_id={}, vdu_index={} ".format(
member_vnf_index, vdu_id, vdu_index
)
- else:
- vdu_index = 0
- kdu_id = vca_info["osm_kdu_id"]
- stage[
- 1
- ] = "Scaling member_vnf_index={}, kdu_id={}, vdu_index={} ".format(
- member_vnf_index, kdu_id, vdu_index
- )
stage[2] = step = "Scaling in VCA"
self._write_op_status(op_id=nslcmop_id, stage=stage)
vca_update = db_nsr["_admin"]["deployed"]["VCA"]
] = "Creating new execution environments"
scale_process = "VCA"
for vca_info in vca_scaling_info:
- if vca_info["type"] == "create":
+ if vca_info["type"] == "create" and not vca_info.get("osm_kdu_id"):
member_vnf_index = str(vca_info["member-vnf-index"])
self.logger.debug(
logging_text + "vdu info: {}".format(vca_info)
task_instantiation_info=tasks_dict_info,
stage=stage,
)
- else:
- kdu_name = vca_info["osm_kdu_id"]
- descriptor_config = get_configuration(db_vnfd, kdu_name)
- if descriptor_config:
- vdu_id = None
- kdu_index = int(vca_info["kdu_index"])
- vdu_name = None
- kdur = next(
- x
- for x in db_vnfr["kdur"]
- if x["kdu-name"] == kdu_name
- )
- deploy_params_kdu = {"OSM": get_osm_params(db_vnfr)}
- if kdur.get("additionalParams"):
- deploy_params_kdu = parse_yaml_strings(
- kdur["additionalParams"]
- )
-
- self._deploy_n2vc(
- logging_text=logging_text,
- db_nsr=db_nsr,
- db_vnfr=db_vnfr,
- nslcmop_id=nslcmop_id,
- nsr_id=nsr_id,
- nsi_id=nsi_id,
- vnfd_id=vnfd_id,
- vdu_id=vdu_id,
- kdu_name=kdu_name,
- member_vnf_index=member_vnf_index,
- vdu_index=kdu_index,
- vdu_name=vdu_name,
- deploy_params=deploy_params_kdu,
- descriptor_config=descriptor_config,
- base_folder=base_folder,
- task_instantiation_info=tasks_dict_info,
- stage=stage,
- )
# SCALE-UP VCA - END
scale_process = None
)
cluster_uuid = deployed_kdu["k8scluster-uuid"]
kdu_instance = deployed_kdu["kdu-instance"]
+ kdu_model = deployed_kdu.get("kdu-model")
scale = int(kdu_scaling_info["scale"])
k8s_cluster_type = kdu_scaling_info["k8s-cluster-type"]
scale,
kdu_scaling_info["resource-name"],
vca_id=vca_id,
+ cluster_uuid=cluster_uuid,
+ kdu_model=kdu_model,
+ atomic=True,
+ db_dict=db_dict,
),
timeout=self.timeout_vca_on_error,
)
db_vnfr, None, vdu_scaling_info["vdu-delete"], mark_delete=False
)
- async def add_prometheus_metrics(
- self, ee_id, artifact_path, ee_config_descriptor, vnfr_id, nsr_id, target_ip
+ async def extract_prometheus_scrape_jobs(
+ self,
+ ee_id,
+ artifact_path,
+ ee_config_descriptor,
+ vnfr_id,
+ nsr_id,
+ target_ip
):
- if not self.prometheus:
- return
# look if exist a file called 'prometheus*.j2' and
artifact_content = self.fs.dir_ls(artifact_path)
job_file = next(
"EXPORTER_POD_IP": host_name,
"EXPORTER_POD_PORT": host_port,
}
- job_list = self.prometheus.parse_job(job_data, variables)
+ job_list = parse_job(job_data, variables)
# ensure job_name is using the vnfr_id. Adding the metadata nsr_id
for job in job_list:
if (
):
job["job_name"] = vnfr_id + "_" + str(randint(1, 10000))
job["nsr_id"] = nsr_id
- job_dict = {jl["job_name"]: jl for jl in job_list}
- if await self.prometheus.update(job_dict):
- return list(job_dict.keys())
+ job["vnfr_id"] = vnfr_id
+ return job_list
def get_vca_cloud_and_credentials(self, vim_account_id: str) -> (str, str):
"""
projects / osm / LCM.git / blobdiff