def run(resource_group: str, compute: dict, timeout: int, parameters: dict,
secrets, configuration):
client = init_compute_management_client(secrets, configuration)
compute_type = compute.get('type').lower()
if compute_type == RES_TYPE_VMSS_VM.lower():
poller = client.virtual_machine_scale_set_vms.run_command(
resource_group, compute['scale_set'],
compute['instance_id'], parameters)
elif compute_type == RES_TYPE_VM.lower():
poller = client.virtual_machines.run_command(
resource_group, compute['name'], parameters)
else:
msg = "Trying to run a command for the unknown resource type '{}'" \
.format(compute.get('type'))
raise InterruptExecution(msg)
result = poller.result(timeout) # Blocking till executed
if result and result.value:
logger.debug(result.value[0].message) # stdout/stderr
else:
raise FailedActivity("Operation did not finish properly."
" You may consider increasing timeout setting.")
def stop_vmss(filter: str = None,
instance_criteria: Iterable[Mapping[str, any]] = None,
configuration: Configuration = None,
secrets: Secrets = None):
"""
Stops instances from the filtered scale set either at random or by
a defined instance criteria.
Parameters
----------
filter : str
Filter the virtual machine scale set. If the filter is omitted all
virtual machine scale sets in the subscription will be selected as
potential chaos candidates.
Filtering example:
'where resourceGroup=="myresourcegroup" and name="myresourcename"'
instance_criteria : Iterable[Mapping[str, any]]
Allows specification of criteria for selection of a given virtual
machine scale set instance. If the instance_criteria is omitted,
an instance will be chosen at random. All of the criteria within each
item of the Iterable must match, i.e. AND logic is applied.
The first item with all matching criterion will be used to select the
instance.
Criteria example:
[
{"name": "myVMSSInstance1"},
{
"name": "myVMSSInstance2",
"instanceId": "2"
}
{"instanceId": "3"},
]
If the instances include two items. One with name = myVMSSInstance4
and instanceId = 2. The other with name = myVMSSInstance2 and
instanceId = 3. The criteria {"instanceId": "3"} will be the first
match since both the name and the instanceId did not match on the
first criteria.
"""
logger.debug("Starting stop_vmss: configuration='{}', filter='{}'".format(
configuration, filter))
vmss = fetch_vmss(filter, configuration, secrets)
vmss_records = Records()
for scale_set in vmss:
instances_records = Records()
instances = fetch_instances(scale_set, instance_criteria,
configuration, secrets)
for instance in instances:
logger.debug("Stopping instance: {}".format(instance['name']))
client = init_compute_management_client(secrets, configuration)
client.virtual_machine_scale_set_vms.power_off(
scale_set['resourceGroup'], scale_set['name'],
instance['instance_id'])
instances_records.add(cleanse.vmss_instance(instance))
scale_set['virtualMachines'] = instances_records.output()
vmss_records.add(cleanse.vmss(scale_set))
return vmss_records.output_as_dict('resources')
def __fetch_vmss_instances(choice, configuration, secrets) -> List[Dict]:
vmss_instances = []
client = init_compute_management_client(secrets, configuration)
pages = client.virtual_machine_scale_set_vms.list(choice['resourceGroup'],
choice['name'])
first_page = pages.advance_page()
vmss_instances.extend(list(first_page))
while True:
try:
page = pages.advance_page()
vmss_instances.extend(list(page))
except StopIteration:
break
results = __parse_vmss_instances_result(vmss_instances, choice)
return results
def delete_vmss(filter: str = None,
instance_criteria: Iterable[Mapping[str, any]] = None,
configuration: Configuration = None,
secrets: Secrets = None):
"""
Delete a virtual machine scale set instance at random.
**Be aware**: Deleting a VMSS instance is an invasive action. You will not
be able to recover the VMSS instance once you deleted it.
Parameters
----------
filter : str
Filter the virtual machine scale set. If the filter is omitted all
virtual machine scale sets in the subscription will be selected as
potential chaos candidates.
Filtering example:
'where resourceGroup=="myresourcegroup" and name="myresourcename"'
"""
logger.debug(
"Starting delete_vmss: configuration='{}', filter='{}'".format(
configuration, filter))
vmss = fetch_vmss(filter, configuration, secrets)
vmss_records = Records()
for scale_set in vmss:
instances_records = Records()
instances = fetch_instances(scale_set, instance_criteria,
configuration, secrets)
for instance in instances:
logger.debug(
"Deleting instance: {}".format(instance['name']))
client = init_compute_management_client(secrets, configuration)
client.virtual_machine_scale_set_vms.begin_delete(
scale_set['resourceGroup'],
scale_set['name'],
instance['instance_id'])
instances_records.add(cleanse.vmss_instance(instance))
scale_set['virtualMachines'] = instances_records.output()
vmss_records.add(cleanse.vmss(scale_set))
return vmss_records.output_as_dict('resources')
def __compute_mgmt_client(secrets, configuration):
return init_compute_management_client(secrets, configuration)