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Changed Unmanage flow - Unmanage cluster will happen per node and not…
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… via tendrl/monitor

tendrl-bug-id: Tendrl#841
bugzilla: 1583590
Signed-off-by: Anmol Sachan <anmol13694@gmail.com>
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@anmolsachan
anmolsachan committed Jun 15, 2018
1 parent 517875b commit 3c27017
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Showing 9 changed files with 490 additions and 439 deletions.
245 changes: 198 additions & 47 deletions tendrl/commons/flows/unmanage_cluster/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,13 @@
import etcd
import time
import uuid

from tendrl.commons import flows

from tendrl.commons.flows.exceptions import FlowExecutionFailedError
from tendrl.commons.objects import AtomExecutionFailedError
from tendrl.commons.utils import etcd_utils
from tendrl.commons.utils import log_utils as logger


class UnmanageCluster(flows.BaseFlow):
Expand All @@ -14,59 +21,203 @@ def run(self):
).load()
if _cluster.is_managed == "no":
if _cluster.current_job['job_name'] == self.__class__.__name__ \
and _cluster.current_job['status'] == 'finished':
and _cluster.current_job['status'] == 'finished':
raise FlowExecutionFailedError(
"Cluster is already in un-managed state"
)
if (_cluster.status is not None and
_cluster.status != "" and
_cluster.current_job['status'] == 'in_progress' and
_cluster.status in
["importing", "unmanaging", "expanding"]):
# Checking if the cluster is being unmanaged by the parent job
_job = NS.tendrl.objects.Job(job_id=self.job_id).load()
if 'parent' in _job.payload:
if _job.payload['parent'] != _cluster.locked_by['job_id']:
raise FlowExecutionFailedError(
"Cluster is already in un-managed state"
"Another job in progress for cluster, "
"please wait till the job finishes (job_id: %s) "
"(integration_id: %s) " % (
_cluster.current_job['job_id'],
_cluster.integration_id
)
)
else:
raise FlowExecutionFailedError(
"Another job in progress for cluster, please wait till "
"the job finishes (job_id: %s) (integration_id: %s) " % (
_cluster.current_job['job_id'],
_cluster.integration_id
)
if _cluster.current_job['status'] == 'in_progress' and \
(
'job_id' in _cluster.locked_by and
_cluster.locked_by['job_id'] != ""
) and (
_cluster.status in ['importing', 'unmanaging', 'expanding']
):
raise FlowExecutionFailedError(
"Another job in progress for cluster."
" Please wait till the job finishes "
"(job_id: %s) (integration_id: %s) " %
(
_cluster.current_job['job_id'],
_cluster.integration_id
)
)

_lock_details = {
'node_id': NS.node_context.node_id,
'fqdn': NS.node_context.fqdn,
'tags': NS.node_context.tags,
'type': NS.type,
'job_name': self.__class__.__name__,
'job_id': self.job_id
}
_cluster.locked_by = _lock_details
_cluster.status = "unmanaging"
_cluster.current_job = {
'job_id': self.job_id,
'job_name': self.__class__.__name__,
'status': "in_progress"
}
_cluster.save()

try:
if 'Node[]' not in self.parameters:
_lock_details = {
'node_id': NS.node_context.node_id,
'fqdn': NS.node_context.fqdn,
'tags': NS.node_context.tags,
'type': NS.type,
'job_name': self.__class__.__name__,
'job_id': self.job_id
}
_cluster.is_managed = "no"
_cluster.locked_by = _lock_details
_cluster.status = "unmanaging"
_cluster.current_job = {
'job_id': self.job_id,
'job_name': self.__class__.__name__,
'status': "in_progress"
}
_cluster.save()

super(UnmanageCluster, self).run()
_cluster = NS.tendrl.objects.Cluster(
integration_id=integration_id
).load()
_cluster.status = ""
_cluster.is_managed = "no"
_cluster.locked_by = {}
_cluster.errors = []
_cluster.current_job = {
'status': "finished",
'job_name': self.__class__.__name__,
'job_id': self.job_id
}
_cluster.save()

# Below code to be executed on the parent node.

_job = NS.tendrl.objects.Job(job_id=self.job_id).load()
if 'parent' not in _job.payload:
# Creating job to delete monitoring details.
_job_id = str(uuid.uuid4())
payload = {
"tags": ["tendrl/integration/monitoring"],
"run": "monitoring.flows.DeleteMonitoringData",
"status": "new",
"parameters": self.parameters,
"parent": self.parameters['job_id'],
"type": "monitoring"
}
NS.tendrl.objects.Job(
job_id=_job_id,
status="new",
payload=payload
).save()

# Wait for 2 mins for the job to complete
loop_count = 0
wait_count = 24
while True:
if loop_count >= wait_count:
logger.log(
"error",
NS.publisher_id,
{
"message": "Clearing monitoring data for "
"cluster (%s) not yet complete. "
"Timing out." %
NS.tendrl.objects.Cluster(
integration_id=integration_id
).load().short_name
},
job_id=self.parameters['job_id'],
flow_id=self.parameters['flow_id'],
)
return False
time.sleep(5)
finished = True
job = NS.tendrl.objects.Job(job_id=_job_id).load()
if job.status != "finished":
finished = False
if finished:
break
else:
loop_count += 1
continue

# Deleting cluster details
etcd_keys_to_delete = []
etcd_keys_to_delete.append(
"/clusters/%s/nodes" % integration_id
)
etcd_keys_to_delete.append(
"/clusters/%s/Bricks" % integration_id
)
etcd_keys_to_delete.append(
"/clusters/%s/Volumes" % integration_id
)
etcd_keys_to_delete.append(
"/clusters/%s/GlobalDetails" % integration_id
)
etcd_keys_to_delete.append(
"/clusters/%s/TendrlContext" % integration_id
)
etcd_keys_to_delete.append(
"/clusters/%s/Utilization" % integration_id
)
etcd_keys_to_delete.append(
"/clusters/%s/raw_map" % integration_id
)
etcd_keys_to_delete.append(
"/alerting/clusters/%s" % integration_id
)
nodes = etcd_utils.read(
"/clusters/%s/nodes" % integration_id
)
node_ids = []
for node in nodes.leaves:
node_id = node.key.split("/")[-1]
node_ids.append(node_id)
key = "/alerting/nodes/%s" % node_id
etcd_keys_to_delete.append(
key
)
try:
# delete node alerts from /alerting/alerts
node_alerts = etcd_utils.read(key)
for node_alert in node_alerts.leaves:
etcd_keys_to_delete.append(
"/alerting/alerts/%s" % node_alert.key.split(
"/")[-1]
)
except etcd.EtcdKeyNotFound:
# No node alerts, continue
pass

# Find the alerting/alerts entries to be deleted
try:
cluster_alert_ids = etcd_utils.read(
"/alerting/clusters/%s" % integration_id
)
for entry in cluster_alert_ids.leaves:
ca_id = entry.key.split("/")[-1]
etcd_keys_to_delete.append(
"/alerting/alerts/%s" % ca_id
)
except etcd.EtcdKeyNotFound:
# No cluster alerts, continue
pass

# Remove the cluster details
for key in list(set(etcd_keys_to_delete)):
try:
etcd_utils.delete(key, recursive=True)
except etcd.EtcdKeyNotFound:
logger.log(
"debug",
NS.publisher_id,
{
"message": "%s key not found for deletion" %
key
},
job_id=self.parameters['job_id'],
flow_id=self.parameters['flow_id'],
)
continue
# remove short name
_cluster = NS.tendrl.objects.Cluster(
integration_id=integration_id
).load()
_cluster.short_name = ""
_cluster.status = ""
_cluster.is_managed = "no"
_cluster.locked_by = {}
_cluster.errors = []
_cluster.current_job = {
'status': "finished",
'job_name': self.__class__.__name__,
'job_id': self.job_id
}
_cluster.save()
except (FlowExecutionFailedError,
AtomExecutionFailedError,
Exception) as ex:
Expand Down
100 changes: 0 additions & 100 deletions tendrl/commons/objects/cluster/atoms/delete_cluster_details/__init__.py
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