File: //lib/python3.9/site-packages/ansible_collections/community/aws/plugins/modules/batch_job_queue.py
# Copyright (c) 2017 Jon Meran <[email protected]>
# 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: batch_job_queue
version_added: 1.0.0
short_description: Manage AWS Batch Job Queues
description:
- This module allows the management of AWS Batch Job Queues.
- It is idempotent and supports "Check" mode.
- Use module M(community.aws.batch_compute_environment) to manage the compute
environment, M(community.aws.batch_job_queue) to manage job queues, M(community.aws.batch_job_definition) to manage job definitions.
- Prior to release 5.0.0 this module was called C(community.aws.aws_batch_job_queue).
The usage did not change.
author:
- Jon Meran (@jonmer85)
options:
job_queue_name:
description:
- The name for the job queue.
required: true
type: str
state:
description:
- Describes the desired state.
default: "present"
choices: ["present", "absent"]
type: str
job_queue_state:
description:
- The state of the job queue. If the job queue state is ENABLED, it is able to accept jobs.
default: "ENABLED"
choices: ["ENABLED", "DISABLED"]
type: str
priority:
description:
- The priority of the job queue. Job queues with a higher priority (or a lower integer value for the priority
parameter) are evaluated first when associated with same compute environment. Priority is determined in
ascending order, for example, a job queue with a priority value of 1 is given scheduling preference over a job
queue with a priority value of 10.
required: true
type: int
compute_environment_order:
description:
- The set of compute environments mapped to a job queue and their order relative to each other. The job
scheduler uses this parameter to determine which compute environment should execute a given job. Compute
environments must be in the VALID state before you can associate them with a job queue. You can associate up to
3 compute environments with a job queue.
required: true
type: list
elements: dict
suboptions:
order:
type: int
description: The relative priority of the environment.
compute_environment:
type: str
description: The name of the compute environment.
extends_documentation_fragment:
- amazon.aws.aws
- amazon.aws.ec2
- amazon.aws.boto3
'''
EXAMPLES = '''
- name: My Batch Job Queue
community.aws.batch_job_queue:
job_queue_name: jobQueueName
state: present
region: us-east-1
job_queue_state: ENABLED
priority: 1
compute_environment_order:
- order: 1
compute_environment: my_compute_env1
- order: 2
compute_environment: my_compute_env2
register: batch_job_queue_action
- name: show results
ansible.builtin.debug:
var: batch_job_queue_action
'''
RETURN = r'''
---
output:
description: "returns what action was taken, whether something was changed, invocation and response"
returned: always
sample:
batch_job_queue_action: updated
changed: false
response:
job_queue_arn: "arn:aws:batch:...."
job_queue_name: <name>
priority: 1
state: DISABLED
status: UPDATING
status_reason: "JobQueue Healthy"
type: dict
'''
from ansible_collections.amazon.aws.plugins.module_utils.batch import set_api_params
from ansible_collections.amazon.aws.plugins.module_utils.core import AnsibleAWSModule
from ansible_collections.amazon.aws.plugins.module_utils.ec2 import camel_dict_to_snake_dict
try:
from botocore.exceptions import BotoCoreError, ClientError
except ImportError:
pass # Handled by AnsibleAWSModule
# ---------------------------------------------------------------------------------------------------
#
# Helper Functions & classes
#
# ---------------------------------------------------------------------------------------------------
def validate_params(module):
"""
Performs basic parameter validation.
:param module:
"""
return
# ---------------------------------------------------------------------------------------------------
#
# Batch Job Queue functions
#
# ---------------------------------------------------------------------------------------------------
def get_current_job_queue(module, client):
try:
environments = client.describe_job_queues(
jobQueues=[module.params['job_queue_name']]
)
return environments['jobQueues'][0] if len(environments['jobQueues']) > 0 else None
except ClientError:
return None
def create_job_queue(module, client):
"""
Adds a Batch job queue
:param module:
:param client:
:return:
"""
changed = False
# set API parameters
params = ('job_queue_name', 'priority')
api_params = set_api_params(module, params)
if module.params['job_queue_state'] is not None:
api_params['state'] = module.params['job_queue_state']
api_params['computeEnvironmentOrder'] = get_compute_environment_order_list(module)
try:
if not module.check_mode:
client.create_job_queue(**api_params)
changed = True
except (BotoCoreError, ClientError) as e:
module.fail_json_aws(e, msg='Error creating compute environment')
return changed
def get_compute_environment_order_list(module):
compute_environment_order_list = []
for ceo in module.params['compute_environment_order']:
compute_environment_order_list.append(dict(order=ceo['order'], computeEnvironment=ceo['compute_environment']))
return compute_environment_order_list
def remove_job_queue(module, client):
"""
Remove a Batch job queue
:param module:
:param client:
:return:
"""
changed = False
# set API parameters
api_params = {'jobQueue': module.params['job_queue_name']}
try:
if not module.check_mode:
client.delete_job_queue(**api_params)
changed = True
except (BotoCoreError, ClientError) as e:
module.fail_json_aws(e, msg='Error removing job queue')
return changed
def manage_state(module, client):
changed = False
current_state = 'absent'
state = module.params['state']
job_queue_state = module.params['job_queue_state']
job_queue_name = module.params['job_queue_name']
priority = module.params['priority']
action_taken = 'none'
response = None
check_mode = module.check_mode
# check if the job queue exists
current_job_queue = get_current_job_queue(module, client)
if current_job_queue:
current_state = 'present'
if state == 'present':
if current_state == 'present':
updates = False
# Update Batch Job Queue configuration
job_kwargs = {'jobQueue': job_queue_name}
# Update configuration if needed
if job_queue_state and current_job_queue['state'] != job_queue_state:
job_kwargs.update({'state': job_queue_state})
updates = True
if priority is not None and current_job_queue['priority'] != priority:
job_kwargs.update({'priority': priority})
updates = True
new_compute_environment_order_list = get_compute_environment_order_list(module)
if new_compute_environment_order_list != current_job_queue['computeEnvironmentOrder']:
job_kwargs['computeEnvironmentOrder'] = new_compute_environment_order_list
updates = True
if updates:
try:
if not check_mode:
client.update_job_queue(**job_kwargs)
changed = True
action_taken = "updated"
except (BotoCoreError, ClientError) as e:
module.fail_json_aws(e, msg="Unable to update job queue")
else:
# Create Job Queue
changed = create_job_queue(module, client)
action_taken = 'added'
# Describe job queue
response = get_current_job_queue(module, client)
if not response:
module.fail_json(msg='Unable to get job queue information after creating/updating')
else:
if current_state == 'present':
# remove the Job Queue
changed = remove_job_queue(module, client)
action_taken = 'deleted'
return dict(changed=changed, batch_job_queue_action=action_taken, response=response)
# ---------------------------------------------------------------------------------------------------
#
# MAIN
#
# ---------------------------------------------------------------------------------------------------
def main():
"""
Main entry point.
:return dict: changed, batch_job_queue_action, response
"""
argument_spec = dict(
state=dict(required=False, default='present', choices=['present', 'absent']),
job_queue_name=dict(required=True),
job_queue_state=dict(required=False, default='ENABLED', choices=['ENABLED', 'DISABLED']),
priority=dict(type='int', required=True),
compute_environment_order=dict(type='list', required=True, elements='dict'),
)
module = AnsibleAWSModule(
argument_spec=argument_spec,
supports_check_mode=True
)
client = module.client('batch')
validate_params(module)
results = manage_state(module, client)
module.exit_json(**camel_dict_to_snake_dict(results))
if __name__ == '__main__':
main()