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# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from collections.abc import Mapping, MutableSequence
from awscli.customizations.dynamodb.types import (
TypeDeserializer,
TypeSerializer,
)
class ParameterTransformer:
"""Transforms the input to and output from botocore based on shape"""
def transform(self, params, model, transformation, target_shape):
"""Transforms the dynamodb input to or output from botocore
It applies a specified transformation whenever a specific shape name
is encountered while traversing the parameters in the dictionary.
:param params: The parameters structure to transform.
:param model: The operation model.
:param transformation: The function to apply the parameter
:param target_shape: The name of the shape to apply the
transformation to
"""
self._transform_parameters(model, params, transformation, target_shape)
def _transform_parameters(
self, model, params, transformation, target_shape
):
type_name = model.type_name
if type_name in ['structure', 'map', 'list']:
getattr(self, '_transform_%s' % type_name)(
model, params, transformation, target_shape
)
def _transform_structure(
self, model, params, transformation, target_shape
):
if not isinstance(params, Mapping):
return
for param in params:
if param in model.members:
member_model = model.members[param]
member_shape = member_model.name
if member_shape == target_shape:
params[param] = transformation(params[param])
else:
self._transform_parameters(
member_model,
params[param],
transformation,
target_shape,
)
def _transform_map(self, model, params, transformation, target_shape):
if not isinstance(params, Mapping):
return
value_model = model.value
value_shape = value_model.name
for key, value in params.items():
if value_shape == target_shape:
params[key] = transformation(value)
else:
self._transform_parameters(
value_model, params[key], transformation, target_shape
)
def _transform_list(self, model, params, transformation, target_shape):
if not isinstance(params, MutableSequence):
return
member_model = model.member
member_shape = member_model.name
for i, item in enumerate(params):
if member_shape == target_shape:
params[i] = transformation(item)
else:
self._transform_parameters(
member_model, params[i], transformation, target_shape
)