Files
kubernetes.core/plugins/modules/k8s_scale.py
Gonéri Le Bouder 39660dd40e refactoring for ansible_module.turbo integration (#313)
* refactoring for ansible_module.turbo integration

This refactoring prepares the integration of `ansible_module.turbo`

- Delay the loading of `common.py`, move the shared structure in
  `args_common`.
- Avoid the use of one single object per module, this to increase the
  amount of Python structure that we can cache.
- Cache the Kubernetes client.

See: https://github.com/ansible-collections/community.kubernetes/pull/270

Co-authored-by: Jill Rouleau <jill.rouleau@bespokess.com>
2021-03-16 17:16:18 -04:00

248 lines
7.8 KiB
Python

#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2018, Chris Houseknecht <@chouseknecht>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r'''
module: k8s_scale
short_description: Set a new size for a Deployment, ReplicaSet, Replication Controller, or Job.
author:
- "Chris Houseknecht (@chouseknecht)"
- "Fabian von Feilitzsch (@fabianvf)"
description:
- Similar to the kubectl scale command. Use to set the number of replicas for a Deployment, ReplicaSet,
or Replication Controller, or the parallelism attribute of a Job. Supports check mode.
extends_documentation_fragment:
- community.kubernetes.k8s_name_options
- community.kubernetes.k8s_auth_options
- community.kubernetes.k8s_resource_options
- community.kubernetes.k8s_scale_options
requirements:
- "python >= 2.7"
- "openshift >= 0.6"
- "PyYAML >= 3.11"
'''
EXAMPLES = r'''
- name: Scale deployment up, and extend timeout
community.kubernetes.k8s_scale:
api_version: v1
kind: Deployment
name: elastic
namespace: myproject
replicas: 3
wait_timeout: 60
- name: Scale deployment down when current replicas match
community.kubernetes.k8s_scale:
api_version: v1
kind: Deployment
name: elastic
namespace: myproject
current_replicas: 3
replicas: 2
- name: Increase job parallelism
community.kubernetes.k8s_scale:
api_version: batch/v1
kind: job
name: pi-with-timeout
namespace: testing
replicas: 2
# Match object using local file or inline definition
- name: Scale deployment based on a file from the local filesystem
community.kubernetes.k8s_scale:
src: /myproject/elastic_deployment.yml
replicas: 3
wait: no
- name: Scale deployment based on a template output
community.kubernetes.k8s_scale:
resource_definition: "{{ lookup('template', '/myproject/elastic_deployment.yml') | from_yaml }}"
replicas: 3
wait: no
- name: Scale deployment based on a file from the Ansible controller filesystem
community.kubernetes.k8s_scale:
resource_definition: "{{ lookup('file', '/myproject/elastic_deployment.yml') | from_yaml }}"
replicas: 3
wait: no
'''
RETURN = r'''
result:
description:
- If a change was made, will return the patched object, otherwise returns the existing object.
returned: success
type: complex
contains:
api_version:
description: The versioned schema of this representation of an object.
returned: success
type: str
kind:
description: Represents the REST resource this object represents.
returned: success
type: str
metadata:
description: Standard object metadata. Includes name, namespace, annotations, labels, etc.
returned: success
type: complex
spec:
description: Specific attributes of the object. Will vary based on the I(api_version) and I(kind).
returned: success
type: complex
status:
description: Current status details for the object.
returned: success
type: complex
duration:
description: elapsed time of task in seconds
returned: when C(wait) is true
type: int
sample: 48
'''
import copy
from ansible_collections.community.kubernetes.plugins.module_utils.ansiblemodule import AnsibleModule
from ansible_collections.community.kubernetes.plugins.module_utils.args_common import (
AUTH_ARG_SPEC, RESOURCE_ARG_SPEC, NAME_ARG_SPEC)
SCALE_ARG_SPEC = {
'replicas': {'type': 'int', 'required': True},
'current_replicas': {'type': 'int'},
'resource_version': {},
'wait': {'type': 'bool', 'default': True},
'wait_timeout': {'type': 'int', 'default': 20},
}
def execute_module(module, k8s_ansible_mixin,):
k8s_ansible_mixin.set_resource_definitions(module)
definition = k8s_ansible_mixin.resource_definitions[0]
name = definition['metadata']['name']
namespace = definition['metadata'].get('namespace')
api_version = definition['apiVersion']
kind = definition['kind']
current_replicas = module.params.get('current_replicas')
replicas = module.params.get('replicas')
resource_version = module.params.get('resource_version')
wait = module.params.get('wait')
wait_time = module.params.get('wait_timeout')
existing = None
existing_count = None
return_attributes = dict(changed=False, result=dict(), diff=dict())
if wait:
return_attributes['duration'] = 0
resource = k8s_ansible_mixin.find_resource(kind, api_version, fail=True)
from ansible_collections.community.kubernetes.plugins.module_utils.common import NotFoundError
try:
existing = resource.get(name=name, namespace=namespace)
return_attributes['result'] = existing.to_dict()
except NotFoundError as exc:
module.fail_json(msg='Failed to retrieve requested object: {0}'.format(exc),
error=exc.value.get('status'))
if module.params['kind'] == 'job':
existing_count = existing.spec.parallelism
elif hasattr(existing.spec, 'replicas'):
existing_count = existing.spec.replicas
if existing_count is None:
module.fail_json(msg='Failed to retrieve the available count for the requested object.')
if resource_version and resource_version != existing.metadata.resourceVersion:
module.exit_json(**return_attributes)
if current_replicas is not None and existing_count != current_replicas:
module.exit_json(**return_attributes)
if existing_count != replicas:
return_attributes['changed'] = True
if not module.check_mode:
if module.params['kind'] == 'job':
existing.spec.parallelism = replicas
return_attributes['result'] = resource.patch(existing.to_dict()).to_dict()
else:
return_attributes = scale(module, k8s_ansible_mixin, resource, existing, replicas, wait, wait_time)
module.exit_json(**return_attributes)
def argspec():
args = copy.deepcopy(SCALE_ARG_SPEC)
args.update(RESOURCE_ARG_SPEC)
args.update(NAME_ARG_SPEC)
args.update(AUTH_ARG_SPEC)
return args
def scale(module, k8s_ansible_mixin, resource, existing_object, replicas, wait, wait_time):
name = existing_object.metadata.name
namespace = existing_object.metadata.namespace
kind = existing_object.kind
if not hasattr(resource, 'scale'):
module.fail_json(
msg="Cannot perform scale on resource of kind {0}".format(resource.kind)
)
scale_obj = {'kind': kind, 'metadata': {'name': name, 'namespace': namespace}, 'spec': {'replicas': replicas}}
existing = resource.get(name=name, namespace=namespace)
try:
resource.scale.patch(body=scale_obj)
except Exception as exc:
module.fail_json(msg="Scale request failed: {0}".format(exc))
k8s_obj = resource.get(name=name, namespace=namespace).to_dict()
match, diffs = k8s_ansible_mixin.diff_objects(existing.to_dict(), k8s_obj)
result = dict()
result['result'] = k8s_obj
result['changed'] = not match
result['diff'] = diffs
if wait:
success, result['result'], result['duration'] = k8s_ansible_mixin.wait(resource, scale_obj, 5, wait_time)
if not success:
module.fail_json(msg="Resource scaling timed out", **result)
return result
def main():
module = AnsibleModule(argument_spec=argspec(), supports_check_mode=True)
from ansible_collections.community.kubernetes.plugins.module_utils.common import (
K8sAnsibleMixin, get_api_client)
k8s_ansible_mixin = K8sAnsibleMixin(module)
k8s_ansible_mixin.client = get_api_client(module=module)
execute_module(module, k8s_ansible_mixin)
if __name__ == '__main__':
main()