awx/awx_modules/plugins/modules/tower_workflow_launch.py
AlanCoding 2f0f692f4a
Integrate Ansible core tower modules content into AWX
This commit includes all the changes involved in
converting the old Ansible Tower modules from commits
in Ansible core into the AWX collection that replaces it.
Also includes work needed to integrate it into the
AWX processes like tests, docs, and the Makefile.

Apply changes from content_collector tool

Add integrated module tests
  operate via run_module fixture
  add makefile target for them

Add flake8 target and fix flake8 errors

Update README

Make consolidated target for testing modules
2019-09-27 14:29:03 -04:00

165 lines
5.2 KiB
Python

#!/usr/bin/python
# coding: utf-8 -*-
# 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
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: tower_workflow_launch
author: "John Westcott IV (@john-westcott-iv)"
version_added: "2.8"
short_description: Run a workflow in Ansible Tower
description:
- Launch an Ansible Tower workflows. See
U(https://www.ansible.com/tower) for an overview.
options:
workflow_template:
description:
- The name of the workflow template to run.
required: True
extra_vars:
description:
- Any extra vars required to launch the job.
required: False
wait:
description:
- Wait for the workflow to complete.
required: False
default: True
type: bool
timeout:
description:
- If waiting for the workflow to complete this will abort after this
amount of seconds
requirements:
- "python >= 2.6"
extends_documentation_fragment: tower
'''
RETURN = '''
tower_version:
description: The version of Tower we connected to
returned: If connection to Tower works
type: str
sample: '3.4.0'
job_info:
description: dictionary containing information about the workflow executed
returned: If workflow launched
type: dict
'''
EXAMPLES = '''
- name: Launch a workflow
tower_workflow_launch:
name: "Test Workflow"
delegate_to: localhost
run_once: true
register: workflow_results
- name: Launch a Workflow with parameters without waiting
tower_workflow_launch:
workflow_template: "Test workflow"
extra_vars: "---\nmy: var"
wait: False
delegate_to: localhost
run_once: true
register: workflow_task_info
'''
from ..module_utils.ansible_tower import TowerModule, tower_auth_config
try:
import tower_cli
from tower_cli.api import client
from tower_cli.conf import settings
from tower_cli.exceptions import ServerError, ConnectionError, BadRequest, TowerCLIError
except ImportError:
pass
def main():
argument_spec = dict(
workflow_template=dict(required=True),
extra_vars=dict(required=False),
wait=dict(required=False, default=True, type='bool'),
timeout=dict(required=False, default=None, type='int'),
)
module = TowerModule(
argument_spec=argument_spec,
supports_check_mode=True
)
workflow_template = module.params.get('workflow_template')
extra_vars = module.params.get('extra_vars')
wait = module.params.get('wait')
timeout = module.params.get('timeout')
# If we are going to use this result to return we can consider ourselfs changed
result = dict(
changed=False,
msg='initial message'
)
tower_auth = tower_auth_config(module)
with settings.runtime_values(**tower_auth):
# First we will test the connection. This will be a test for both check and run mode
# Note, we are not using the tower_check_mode method here because we want to do more than just a ping test
# If we are in check mode we also want to validate that we can find the workflow
try:
ping_result = client.get('/ping').json()
# Stuff the version into the results as an FYI
result['tower_version'] = ping_result['version']
except(ServerError, ConnectionError, BadRequest) as excinfo:
result['msg'] = "Failed to reach Tower: {0}".format(excinfo)
module.fail_json(**result)
# Now that we know we can connect, lets verify that we can resolve the workflow_template
try:
workflow = tower_cli.get_resource("workflow").get(**{'name': workflow_template})
except TowerCLIError as e:
result['msg'] = "Failed to find workflow: {0}".format(e)
module.fail_json(**result)
# Since we were able to find the workflow, if we are in check mode we can return now
if module.check_mode:
result['msg'] = "Check mode passed"
module.exit_json(**result)
# We are no ready to run the workflow
try:
result['job_info'] = tower_cli.get_resource('workflow_job').launch(
workflow_job_template=workflow['id'],
monitor=False,
wait=wait,
timeout=timeout,
extra_vars=extra_vars
)
if wait:
# If we were waiting for a result we will fail if the workflow failed
if result['job_info']['failed']:
result['msg'] = "Workflow execution failed"
module.fail_json(**result)
else:
module.exit_json(**result)
# We were not waiting and there should be no way we can make it here without the workflow fired off so we can return a success
module.exit_json(**result)
except TowerCLIError as e:
result['msg'] = "Failed to execute workflow: {0}".format(e)
module.fail_json(**result)
if __name__ == '__main__':
main()