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Move generic transformation code into a dedicated transformation.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,140 @@ | ||
| # This code is part of Ansible, but is an independent component. | ||
| # This particular file snippet, and this file snippet only, is BSD licensed. | ||
| # Modules you write using this snippet, which is embedded dynamically by Ansible | ||
| # still belong to the author of the module, and may assign their own license | ||
| # to the complete work. | ||
| # | ||
| # Copyright (c), Michael DeHaan <[email protected]>, 2012-2013 | ||
| # All rights reserved. | ||
| # | ||
| # Redistribution and use in source and binary forms, with or without modification, | ||
| # are permitted provided that the following conditions are met: | ||
| # | ||
| # * Redistributions of source code must retain the above copyright | ||
| # notice, this list of conditions and the following disclaimer. | ||
| # * Redistributions in binary form must reproduce the above copyright notice, | ||
| # this list of conditions and the following disclaimer in the documentation | ||
| # and/or other materials provided with the distribution. | ||
| # | ||
| # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND | ||
| # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | ||
| # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. | ||
| # IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, | ||
| # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | ||
| # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | ||
| # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | ||
| # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE | ||
| # USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
|
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| from __future__ import (absolute_import, division, print_function) | ||
| __metaclass__ = type | ||
|
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| from ansible.module_utils.six import string_types | ||
| from ansible.module_utils.six import integer_types | ||
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| def ansible_dict_to_boto3_filter_list(filters_dict): | ||
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| """ Convert an Ansible dict of filters to list of dicts that boto3 can use | ||
| Args: | ||
| filters_dict (dict): Dict of AWS filters. | ||
| Basic Usage: | ||
| >>> filters = {'some-aws-id': 'i-01234567'} | ||
| >>> ansible_dict_to_boto3_filter_list(filters) | ||
| { | ||
| 'some-aws-id': 'i-01234567' | ||
| } | ||
| Returns: | ||
| List: List of AWS filters and their values | ||
| [ | ||
| { | ||
| 'Name': 'some-aws-id', | ||
| 'Values': [ | ||
| 'i-01234567', | ||
| ] | ||
| } | ||
| ] | ||
| """ | ||
|
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| filters_list = [] | ||
| for k, v in filters_dict.items(): | ||
| filter_dict = {'Name': k} | ||
| if isinstance(v, bool): | ||
| filter_dict['Values'] = [str(v).lower()] | ||
| elif isinstance(v, integer_types): | ||
| filter_dict['Values'] = [str(v)] | ||
| elif isinstance(v, string_types): | ||
| filter_dict['Values'] = [v] | ||
| else: | ||
| filter_dict['Values'] = v | ||
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| filters_list.append(filter_dict) | ||
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| return filters_list | ||
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| def map_complex_type(complex_type, type_map): | ||
| """ | ||
| Allows to cast elements within a dictionary to a specific type | ||
| Example of usage: | ||
| DEPLOYMENT_CONFIGURATION_TYPE_MAP = { | ||
| 'maximum_percent': 'int', | ||
| 'minimum_healthy_percent': 'int' | ||
| } | ||
| deployment_configuration = map_complex_type(module.params['deployment_configuration'], | ||
| DEPLOYMENT_CONFIGURATION_TYPE_MAP) | ||
| This ensures all keys within the root element are casted and valid integers | ||
| """ | ||
|
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| if complex_type is None: | ||
| return | ||
| new_type = type(complex_type)() | ||
| if isinstance(complex_type, dict): | ||
| for key in complex_type: | ||
| if key in type_map: | ||
| if isinstance(type_map[key], list): | ||
| new_type[key] = map_complex_type( | ||
| complex_type[key], | ||
| type_map[key][0]) | ||
| else: | ||
| new_type[key] = map_complex_type( | ||
| complex_type[key], | ||
| type_map[key]) | ||
| else: | ||
| return complex_type | ||
| elif isinstance(complex_type, list): | ||
| for i in range(len(complex_type)): | ||
| new_type.append(map_complex_type( | ||
| complex_type[i], | ||
| type_map)) | ||
| elif type_map: | ||
| return globals()['__builtins__'][type_map](complex_type) | ||
| return new_type | ||
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| def scrub_none_parameters(parameters, descend_into_lists=True): | ||
| """ | ||
| Iterate over a dictionary removing any keys that have a None value | ||
| Reference: https://github.com/ansible-collections/community.aws/issues/251 | ||
| Credit: https://medium.com/better-programming/how-to-remove-null-none-values-from-a-dictionary-in-python-1bedf1aab5e4 | ||
| :param descend_into_lists: whether or not to descend in to lists to continue to remove None values | ||
| :param parameters: parameter dict | ||
| :return: parameter dict with all keys = None removed | ||
| """ | ||
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| clean_parameters = {} | ||
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| for k, v in parameters.items(): | ||
| if isinstance(v, dict): | ||
| clean_parameters[k] = scrub_none_parameters(v, descend_into_lists=descend_into_lists) | ||
| elif descend_into_lists and isinstance(v, list): | ||
| clean_parameters[k] = [scrub_none_parameters(vv, descend_into_lists=descend_into_lists) if isinstance(vv, dict) else vv for vv in v] | ||
| elif v is not None: | ||
| clean_parameters[k] = v | ||
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| return clean_parameters |