mirror of
https://github.com/thegeeklab/ansible-later.git
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287 lines
10 KiB
Python
287 lines
10 KiB
Python
#!/usr/bin/python
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# This file is part of Ansible
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#
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# Ansible is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Ansible is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
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ANSIBLE_METADATA = {'metadata_version': '1.1',
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'status': ['preview'],
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'supported_by': 'community'}
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DOCUMENTATION = '''
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---
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module: execute_lambda
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short_description: Execute an AWS Lambda function
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description:
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- This module executes AWS Lambda functions, allowing synchronous and asynchronous
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invocation.
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version_added: "2.2"
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extends_documentation_fragment:
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- aws
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- ec2
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author: "Ryan Scott Brown (@ryansb) <ryansb@redhat.com>"
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requirements:
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- python >= 2.6
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- boto3
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notes:
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- Async invocation will always return an empty C(output) key.
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- Synchronous invocation may result in a function timeout, resulting in an
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empty C(output) key.
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options:
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name:
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description:
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- The name of the function to be invoked. This can only be used for
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invocations within the calling account. To invoke a function in another
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account, use I(function_arn) to specify the full ARN.
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function_arn:
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description:
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- The name of the function to be invoked
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tail_log:
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description:
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- If C(tail_log=yes), the result of the task will include the last 4 KB
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of the CloudWatch log for the function execution. Log tailing only
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works if you use synchronous invocation C(wait=yes). This is usually
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used for development or testing Lambdas.
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type: bool
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default: 'no'
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wait:
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description:
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- Whether to wait for the function results or not. If I(wait) is C(no),
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the task will not return any results. To wait for the Lambda function
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to complete, set C(wait=yes) and the result will be available in the
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I(output) key.
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type: bool
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default: 'yes'
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dry_run:
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description:
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- Do not *actually* invoke the function. A C(DryRun) call will check that
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the caller has permissions to call the function, especially for
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checking cross-account permissions.
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type: bool
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default: 'no'
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version_qualifier:
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description:
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- Which version/alias of the function to run. This defaults to the
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C(LATEST) revision, but can be set to any existing version or alias.
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See https;//docs.aws.amazon.com/lambda/latest/dg/versioning-aliases.html
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for details.
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default: LATEST
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payload:
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description:
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- A dictionary in any form to be provided as input to the Lambda function.
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default: {}
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'''
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EXAMPLES = '''
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- execute_lambda:
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name: test-function
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# the payload is automatically serialized and sent to the function
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payload:
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foo: bar
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value: 8
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register: response
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# Test that you have sufficient permissions to execute a Lambda function in
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# another account
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- execute_lambda:
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function_arn: arn:aws:lambda:us-east-1:123456789012:function/some-function
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dry_run: true
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- execute_lambda:
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name: test-function
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payload:
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foo: bar
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value: 8
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wait: true
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tail_log: true
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register: response
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# the response will have a `logs` key that will contain a log (up to 4KB) of the function execution in Lambda.
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- execute_lambda:
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name: test-function
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version_qualifier: PRODUCTION
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'''
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RETURN = '''
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output:
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description: Function output if wait=true and the function returns a value
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returned: success
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type: dict
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sample: "{ 'output': 'something' }"
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logs:
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description: The last 4KB of the function logs. Only provided if I(tail_log) is true
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type: string
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returned: if I(tail_log) == true
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status:
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description: C(StatusCode) of API call exit (200 for synchronous invokes, 202 for async)
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type: int
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sample: 200
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returned: always
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'''
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import base64
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import json
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import traceback
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try:
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import botocore
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HAS_BOTO3 = True
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except ImportError:
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HAS_BOTO3 = False
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from ansible.module_utils.basic import AnsibleModule
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from ansible.module_utils.ec2 import boto3_conn, ec2_argument_spec, get_aws_connection_info
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from ansible.module_utils._text import to_native
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def main():
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argument_spec = ec2_argument_spec()
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argument_spec.update(dict(
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name=dict(),
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function_arn=dict(),
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wait=dict(default=True, type='bool'),
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tail_log=dict(default=False, type='bool'),
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dry_run=dict(default=False, type='bool'),
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version_qualifier=dict(),
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payload=dict(default={}, type='dict'),
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))
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module = AnsibleModule(
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argument_spec=argument_spec,
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supports_check_mode=True,
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mutually_exclusive=[
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['name', 'function_arn'],
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]
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)
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if not HAS_BOTO3:
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module.fail_json(msg='boto3 required for this module')
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name = module.params.get('name')
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function_arn = module.params.get('function_arn')
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await_return = module.params.get('wait')
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dry_run = module.params.get('dry_run')
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tail_log = module.params.get('tail_log')
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version_qualifier = module.params.get('version_qualifier')
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payload = module.params.get('payload')
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if not HAS_BOTO3:
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module.fail_json(msg='Python module "boto3" is missing, please install it')
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if not (name or function_arn):
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module.fail_json(msg="Must provide either a function_arn or a name to invoke.")
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region, ec2_url, aws_connect_kwargs = get_aws_connection_info(module, boto3=HAS_BOTO3)
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if not region:
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module.fail_json(msg="The AWS region must be specified as an "
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"environment variable or in the AWS credentials "
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"profile.")
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try:
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client = boto3_conn(module, conn_type='client', resource='lambda',
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region=region, endpoint=ec2_url, **aws_connect_kwargs)
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except (botocore.exceptions.ClientError, botocore.exceptions.ValidationError) as e:
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module.fail_json(msg="Failure connecting boto3 to AWS: %s" % to_native(e), exception=traceback.format_exc())
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invoke_params = {}
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if await_return:
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# await response
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invoke_params['InvocationType'] = 'RequestResponse'
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else:
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# fire and forget
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invoke_params['InvocationType'] = 'Event'
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if dry_run or module.check_mode:
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# dry_run overrides invocation type
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invoke_params['InvocationType'] = 'DryRun'
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if tail_log and await_return:
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invoke_params['LogType'] = 'Tail'
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elif tail_log and not await_return:
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module.fail_json(msg="The `tail_log` parameter is only available if "
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"the invocation waits for the function to complete. "
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"Set `wait` to true or turn off `tail_log`.")
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else:
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invoke_params['LogType'] = 'None'
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if version_qualifier:
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invoke_params['Qualifier'] = version_qualifier
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if payload:
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invoke_params['Payload'] = json.dumps(payload)
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if function_arn:
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invoke_params['FunctionName'] = function_arn
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elif name:
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invoke_params['FunctionName'] = name
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try:
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response = client.invoke(**invoke_params)
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except botocore.exceptions.ClientError as ce:
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if ce.response['Error']['Code'] == 'ResourceNotFoundException':
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module.fail_json(msg="Could not find Lambda to execute. Make sure "
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"the ARN is correct and your profile has "
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"permissions to execute this function.",
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exception=traceback.format_exc())
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module.fail_json(msg="Client-side error when invoking Lambda, check inputs and specific error",
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exception=traceback.format_exc())
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except botocore.exceptions.ParamValidationError as ve:
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module.fail_json(msg="Parameters to `invoke` failed to validate",
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exception=traceback.format_exc(ve))
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except Exception as e:
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module.fail_json(msg="Unexpected failure while invoking Lambda function",
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exception=traceback.format_exc())
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results = {
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'logs': '',
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'status': response['StatusCode'],
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'output': '',
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}
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if response.get('LogResult'):
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try:
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# logs are base64 encoded in the API response
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results['logs'] = base64.b64decode(response.get('LogResult', ''))
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except Exception as e:
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module.fail_json(msg="Failed while decoding logs", exception=traceback.format_exc())
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if invoke_params['InvocationType'] == 'RequestResponse':
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try:
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results['output'] = json.loads(response['Payload'].read().decode('utf8'))
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except Exception as e:
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module.fail_json(msg="Failed while decoding function return value", exception=traceback.format_exc())
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if isinstance(results.get('output'), dict) and any(
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[results['output'].get('stackTrace'), results['output'].get('errorMessage')]):
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# AWS sends back stack traces and error messages when a function failed
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# in a RequestResponse (synchronous) context.
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template = ("Function executed, but there was an error in the Lambda function. "
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"Message: {errmsg}, Type: {type}, Stack Trace: {trace}")
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error_data = {
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# format the stacktrace sent back as an array into a multiline string
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'trace': '\n'.join(
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[' '.join([
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str(x) for x in line # cast line numbers to strings
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]) for line in results.get('output', {}).get('stackTrace', [])]
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),
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'errmsg': results['output'].get('errorMessage'),
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'type': results['output'].get('errorType')
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}
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module.fail_json(msg=template.format(**error_data), result=results)
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module.exit_json(changed=True, result=results)
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if __name__ == '__main__':
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main()
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