# This code is part of Ansible, but is an independent component.
# This particular file snippet, and this file snippet only, is BSD licensed.
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# still belong to the author of the module, and may assign their own license
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# Copyright (c), Michael DeHaan <[email protected]>, 2012-2013
# All rights reserved.
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# are permitted provided that the following conditions are met:
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#    * Redistributions of source code must retain the above copyright
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# USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

from __future__ import (absolute_import, division, print_function)
__metaclass__ = type

from ansible.module_utils.six import string_types
from ansible.module_utils.six import integer_types


def ansible_dict_to_boto3_filter_list(filters_dict):

    """ 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',
                ]
            }
        ]
    """

    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

        filters_list.append(filter_dict)

    return filters_list


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
    """

    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:
                new_type[key] = complex_type[key]
    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


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
    """

    clean_parameters = {}

    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

    return clean_parameters