Initial commit
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parkingkonceptvenv/lib/python3.7/site-packages/botocore/model.py
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780
parkingkonceptvenv/lib/python3.7/site-packages/botocore/model.py
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# Copyright 2015 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"). You
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# may not use this file except in compliance with the License. A copy of
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# the License is located at
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#
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# http://aws.amazon.com/apache2.0/
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#
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# or in the "license" file accompanying this file. This file is
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# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
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# ANY KIND, either express or implied. See the License for the specific
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# language governing permissions and limitations under the License.
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"""Abstractions to interact with service models."""
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from collections import defaultdict
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from botocore.utils import CachedProperty, instance_cache, hyphenize_service_id
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from botocore.compat import OrderedDict
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from botocore.exceptions import MissingServiceIdError
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from botocore.exceptions import UndefinedModelAttributeError
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NOT_SET = object()
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class NoShapeFoundError(Exception):
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pass
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class InvalidShapeError(Exception):
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pass
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class OperationNotFoundError(Exception):
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pass
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class InvalidShapeReferenceError(Exception):
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pass
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class ServiceId(str):
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def hyphenize(self):
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return hyphenize_service_id(self)
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class Shape(object):
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"""Object representing a shape from the service model."""
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# To simplify serialization logic, all shape params that are
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# related to serialization are moved from the top level hash into
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# a 'serialization' hash. This list below contains the names of all
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# the attributes that should be moved.
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SERIALIZED_ATTRS = ['locationName', 'queryName', 'flattened', 'location',
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'payload', 'streaming', 'timestampFormat',
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'xmlNamespace', 'resultWrapper', 'xmlAttribute',
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'eventstream', 'event', 'eventheader', 'eventpayload',
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'jsonvalue', 'timestampFormat', 'hostLabel']
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METADATA_ATTRS = ['required', 'min', 'max', 'sensitive', 'enum',
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'idempotencyToken', 'error', 'exception',
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'endpointdiscoveryid']
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MAP_TYPE = OrderedDict
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def __init__(self, shape_name, shape_model, shape_resolver=None):
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"""
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:type shape_name: string
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:param shape_name: The name of the shape.
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:type shape_model: dict
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:param shape_model: The shape model. This would be the value
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associated with the key in the "shapes" dict of the
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service model (i.e ``model['shapes'][shape_name]``)
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:type shape_resolver: botocore.model.ShapeResolver
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:param shape_resolver: A shape resolver object. This is used to
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resolve references to other shapes. For scalar shape types
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(string, integer, boolean, etc.), this argument is not
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required. If a shape_resolver is not provided for a complex
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type, then a ``ValueError`` will be raised when an attempt
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to resolve a shape is made.
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"""
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self.name = shape_name
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self.type_name = shape_model['type']
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self.documentation = shape_model.get('documentation', '')
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self._shape_model = shape_model
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if shape_resolver is None:
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# If a shape_resolver is not provided, we create an object
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# that will throw errors if you attempt to resolve
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# a shape. This is actually ok for scalar shapes
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# because they don't need to resolve shapes and shouldn't
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# be required to provide an object they won't use.
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shape_resolver = UnresolvableShapeMap()
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self._shape_resolver = shape_resolver
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self._cache = {}
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@CachedProperty
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def serialization(self):
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"""Serialization information about the shape.
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This contains information that may be needed for input serialization
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or response parsing. This can include:
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* name
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* queryName
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* flattened
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* location
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* payload
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* streaming
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* xmlNamespace
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* resultWrapper
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* xmlAttribute
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* jsonvalue
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* timestampFormat
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:rtype: dict
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:return: Serialization information about the shape.
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"""
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model = self._shape_model
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serialization = {}
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for attr in self.SERIALIZED_ATTRS:
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if attr in self._shape_model:
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serialization[attr] = model[attr]
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# For consistency, locationName is renamed to just 'name'.
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if 'locationName' in serialization:
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serialization['name'] = serialization.pop('locationName')
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return serialization
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@CachedProperty
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def metadata(self):
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"""Metadata about the shape.
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This requires optional information about the shape, including:
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* min
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* max
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* enum
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* sensitive
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* required
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* idempotencyToken
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:rtype: dict
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:return: Metadata about the shape.
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"""
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model = self._shape_model
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metadata = {}
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for attr in self.METADATA_ATTRS:
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if attr in self._shape_model:
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metadata[attr] = model[attr]
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return metadata
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@CachedProperty
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def required_members(self):
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"""A list of members that are required.
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A structure shape can define members that are required.
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This value will return a list of required members. If there
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are no required members an empty list is returned.
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"""
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return self.metadata.get('required', [])
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def _resolve_shape_ref(self, shape_ref):
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return self._shape_resolver.resolve_shape_ref(shape_ref)
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def __repr__(self):
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return "<%s(%s)>" % (self.__class__.__name__,
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self.name)
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@property
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def event_stream_name(self):
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return None
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class StructureShape(Shape):
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@CachedProperty
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def members(self):
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members = self._shape_model['members']
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# The members dict looks like:
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# 'members': {
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# 'MemberName': {'shape': 'shapeName'},
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# 'MemberName2': {'shape': 'shapeName'},
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# }
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# We return a dict of member name to Shape object.
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shape_members = self.MAP_TYPE()
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for name, shape_ref in members.items():
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shape_members[name] = self._resolve_shape_ref(shape_ref)
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return shape_members
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@CachedProperty
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def event_stream_name(self):
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for member_name, member in self.members.items():
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if member.serialization.get('eventstream'):
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return member_name
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return None
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class ListShape(Shape):
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@CachedProperty
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def member(self):
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return self._resolve_shape_ref(self._shape_model['member'])
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class MapShape(Shape):
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@CachedProperty
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def key(self):
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return self._resolve_shape_ref(self._shape_model['key'])
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@CachedProperty
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def value(self):
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return self._resolve_shape_ref(self._shape_model['value'])
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class StringShape(Shape):
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@CachedProperty
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def enum(self):
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return self.metadata.get('enum', [])
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class ServiceModel(object):
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"""
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:ivar service_description: The parsed service description dictionary.
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"""
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def __init__(self, service_description, service_name=None):
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"""
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:type service_description: dict
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:param service_description: The service description model. This value
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is obtained from a botocore.loader.Loader, or from directly loading
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the file yourself::
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service_description = json.load(
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open('/path/to/service-description-model.json'))
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model = ServiceModel(service_description)
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:type service_name: str
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:param service_name: The name of the service. Normally this is
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the endpoint prefix defined in the service_description. However,
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you can override this value to provide a more convenient name.
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This is done in a few places in botocore (ses instead of email,
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emr instead of elasticmapreduce). If this value is not provided,
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it will default to the endpointPrefix defined in the model.
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"""
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self._service_description = service_description
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# We want clients to be able to access metadata directly.
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self.metadata = service_description.get('metadata', {})
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self._shape_resolver = ShapeResolver(
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service_description.get('shapes', {}))
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self._signature_version = NOT_SET
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self._service_name = service_name
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self._instance_cache = {}
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def shape_for(self, shape_name, member_traits=None):
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return self._shape_resolver.get_shape_by_name(
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shape_name, member_traits)
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def resolve_shape_ref(self, shape_ref):
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return self._shape_resolver.resolve_shape_ref(shape_ref)
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@CachedProperty
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def shape_names(self):
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return list(self._service_description.get('shapes', {}))
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@instance_cache
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def operation_model(self, operation_name):
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try:
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model = self._service_description['operations'][operation_name]
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except KeyError:
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raise OperationNotFoundError(operation_name)
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return OperationModel(model, self, operation_name)
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@CachedProperty
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def documentation(self):
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return self._service_description.get('documentation', '')
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@CachedProperty
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def operation_names(self):
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return list(self._service_description.get('operations', []))
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@CachedProperty
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def service_name(self):
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"""The name of the service.
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This defaults to the endpointPrefix defined in the service model.
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However, this value can be overriden when a ``ServiceModel`` is
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created. If a service_name was not provided when the ``ServiceModel``
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was created and if there is no endpointPrefix defined in the
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service model, then an ``UndefinedModelAttributeError`` exception
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will be raised.
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"""
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if self._service_name is not None:
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return self._service_name
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else:
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return self.endpoint_prefix
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@CachedProperty
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def service_id(self):
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try:
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return ServiceId(self._get_metadata_property('serviceId'))
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except UndefinedModelAttributeError:
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raise MissingServiceIdError(
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service_name=self._service_name
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)
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@CachedProperty
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def signing_name(self):
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"""The name to use when computing signatures.
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If the model does not define a signing name, this
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value will be the endpoint prefix defined in the model.
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"""
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signing_name = self.metadata.get('signingName')
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if signing_name is None:
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signing_name = self.endpoint_prefix
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return signing_name
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@CachedProperty
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def api_version(self):
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return self._get_metadata_property('apiVersion')
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@CachedProperty
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def protocol(self):
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return self._get_metadata_property('protocol')
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@CachedProperty
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def endpoint_prefix(self):
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return self._get_metadata_property('endpointPrefix')
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@CachedProperty
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def endpoint_discovery_operation(self):
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for operation in self.operation_names:
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model = self.operation_model(operation)
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if model.is_endpoint_discovery_operation:
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return model
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def _get_metadata_property(self, name):
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try:
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return self.metadata[name]
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except KeyError:
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raise UndefinedModelAttributeError(
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'"%s" not defined in the metadata of the model: %s' %
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(name, self))
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# Signature version is one of the rare properties
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# than can be modified so a CachedProperty is not used here.
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@property
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def signature_version(self):
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if self._signature_version is NOT_SET:
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signature_version = self.metadata.get('signatureVersion')
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self._signature_version = signature_version
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return self._signature_version
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@signature_version.setter
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def signature_version(self, value):
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self._signature_version = value
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def __repr__(self):
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return '%s(%s)' % (self.__class__.__name__, self.service_name)
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class OperationModel(object):
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def __init__(self, operation_model, service_model, name=None):
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"""
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:type operation_model: dict
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:param operation_model: The operation model. This comes from the
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service model, and is the value associated with the operation
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name in the service model (i.e ``model['operations'][op_name]``).
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:type service_model: botocore.model.ServiceModel
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:param service_model: The service model associated with the operation.
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:type name: string
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:param name: The operation name. This is the operation name exposed to
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the users of this model. This can potentially be different from
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the "wire_name", which is the operation name that *must* by
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provided over the wire. For example, given::
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"CreateCloudFrontOriginAccessIdentity":{
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"name":"CreateCloudFrontOriginAccessIdentity2014_11_06",
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...
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}
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The ``name`` would be ``CreateCloudFrontOriginAccessIdentity``,
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but the ``self.wire_name`` would be
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``CreateCloudFrontOriginAccessIdentity2014_11_06``, which is the
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value we must send in the corresponding HTTP request.
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"""
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self._operation_model = operation_model
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self._service_model = service_model
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self._api_name = name
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# Clients can access '.name' to get the operation name
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# and '.metadata' to get the top level metdata of the service.
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self._wire_name = operation_model.get('name')
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self.metadata = service_model.metadata
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self.http = operation_model.get('http', {})
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@CachedProperty
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def name(self):
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if self._api_name is not None:
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return self._api_name
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else:
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return self.wire_name
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@property
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def wire_name(self):
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"""The wire name of the operation.
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In many situations this is the same value as the
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``name``, value, but in some services, the operation name
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exposed to the user is different from the operaiton name
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we send across the wire (e.g cloudfront).
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Any serialization code should use ``wire_name``.
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"""
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return self._operation_model.get('name')
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@property
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def service_model(self):
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return self._service_model
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@CachedProperty
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def documentation(self):
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return self._operation_model.get('documentation', '')
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@CachedProperty
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||||
def deprecated(self):
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return self._operation_model.get('deprecated', False)
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||||
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@CachedProperty
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def endpoint_discovery(self):
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# Explicit None default. An empty dictionary for this trait means it is
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# enabled but not required to be used.
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return self._operation_model.get('endpointdiscovery', None)
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||||
@CachedProperty
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||||
def is_endpoint_discovery_operation(self):
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return self._operation_model.get('endpointoperation', False)
|
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||||
@CachedProperty
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def input_shape(self):
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||||
if 'input' not in self._operation_model:
|
||||
# Some operations do not accept any input and do not define an
|
||||
# input shape.
|
||||
return None
|
||||
return self._service_model.resolve_shape_ref(
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||||
self._operation_model['input'])
|
||||
|
||||
@CachedProperty
|
||||
def output_shape(self):
|
||||
if 'output' not in self._operation_model:
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||||
# Some operations do not define an output shape,
|
||||
# in which case we return None to indicate the
|
||||
# operation has no expected output.
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||||
return None
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||||
return self._service_model.resolve_shape_ref(
|
||||
self._operation_model['output'])
|
||||
|
||||
@CachedProperty
|
||||
def idempotent_members(self):
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||||
input_shape = self.input_shape
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||||
if not input_shape:
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||||
return []
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||||
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||||
return [name for (name, shape) in input_shape.members.items()
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||||
if 'idempotencyToken' in shape.metadata and
|
||||
shape.metadata['idempotencyToken']]
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||||
|
||||
@CachedProperty
|
||||
def auth_type(self):
|
||||
return self._operation_model.get('authtype')
|
||||
|
||||
@CachedProperty
|
||||
def error_shapes(self):
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||||
shapes = self._operation_model.get("errors", [])
|
||||
return list(self._service_model.resolve_shape_ref(s) for s in shapes)
|
||||
|
||||
@CachedProperty
|
||||
def endpoint(self):
|
||||
return self._operation_model.get('endpoint')
|
||||
|
||||
@CachedProperty
|
||||
def has_event_stream_input(self):
|
||||
return self.get_event_stream_input() is not None
|
||||
|
||||
@CachedProperty
|
||||
def has_event_stream_output(self):
|
||||
return self.get_event_stream_output() is not None
|
||||
|
||||
def get_event_stream_input(self):
|
||||
return self._get_event_stream(self.input_shape)
|
||||
|
||||
def get_event_stream_output(self):
|
||||
return self._get_event_stream(self.output_shape)
|
||||
|
||||
def _get_event_stream(self, shape):
|
||||
"""Returns the event stream member's shape if any or None otherwise."""
|
||||
if shape is None:
|
||||
return None
|
||||
event_name = shape.event_stream_name
|
||||
if event_name:
|
||||
return shape.members[event_name]
|
||||
return None
|
||||
|
||||
@CachedProperty
|
||||
def has_streaming_input(self):
|
||||
return self.get_streaming_input() is not None
|
||||
|
||||
@CachedProperty
|
||||
def has_streaming_output(self):
|
||||
return self.get_streaming_output() is not None
|
||||
|
||||
def get_streaming_input(self):
|
||||
return self._get_streaming_body(self.input_shape)
|
||||
|
||||
def get_streaming_output(self):
|
||||
return self._get_streaming_body(self.output_shape)
|
||||
|
||||
def _get_streaming_body(self, shape):
|
||||
"""Returns the streaming member's shape if any; or None otherwise."""
|
||||
if shape is None:
|
||||
return None
|
||||
payload = shape.serialization.get('payload')
|
||||
if payload is not None:
|
||||
payload_shape = shape.members[payload]
|
||||
if payload_shape.type_name == 'blob':
|
||||
return payload_shape
|
||||
return None
|
||||
|
||||
def __repr__(self):
|
||||
return '%s(name=%s)' % (self.__class__.__name__, self.name)
|
||||
|
||||
|
||||
class ShapeResolver(object):
|
||||
"""Resolves shape references."""
|
||||
|
||||
# Any type not in this mapping will default to the Shape class.
|
||||
SHAPE_CLASSES = {
|
||||
'structure': StructureShape,
|
||||
'list': ListShape,
|
||||
'map': MapShape,
|
||||
'string': StringShape
|
||||
}
|
||||
|
||||
def __init__(self, shape_map):
|
||||
self._shape_map = shape_map
|
||||
self._shape_cache = {}
|
||||
|
||||
def get_shape_by_name(self, shape_name, member_traits=None):
|
||||
try:
|
||||
shape_model = self._shape_map[shape_name]
|
||||
except KeyError:
|
||||
raise NoShapeFoundError(shape_name)
|
||||
try:
|
||||
shape_cls = self.SHAPE_CLASSES.get(shape_model['type'], Shape)
|
||||
except KeyError:
|
||||
raise InvalidShapeError("Shape is missing required key 'type': %s"
|
||||
% shape_model)
|
||||
if member_traits:
|
||||
shape_model = shape_model.copy()
|
||||
shape_model.update(member_traits)
|
||||
result = shape_cls(shape_name, shape_model, self)
|
||||
return result
|
||||
|
||||
def resolve_shape_ref(self, shape_ref):
|
||||
# A shape_ref is a dict that has a 'shape' key that
|
||||
# refers to a shape name as well as any additional
|
||||
# member traits that are then merged over the shape
|
||||
# definition. For example:
|
||||
# {"shape": "StringType", "locationName": "Foobar"}
|
||||
if len(shape_ref) == 1 and 'shape' in shape_ref:
|
||||
# It's just a shape ref with no member traits, we can avoid
|
||||
# a .copy(). This is the common case so it's specifically
|
||||
# called out here.
|
||||
return self.get_shape_by_name(shape_ref['shape'])
|
||||
else:
|
||||
member_traits = shape_ref.copy()
|
||||
try:
|
||||
shape_name = member_traits.pop('shape')
|
||||
except KeyError:
|
||||
raise InvalidShapeReferenceError(
|
||||
"Invalid model, missing shape reference: %s" % shape_ref)
|
||||
return self.get_shape_by_name(shape_name, member_traits)
|
||||
|
||||
|
||||
class UnresolvableShapeMap(object):
|
||||
"""A ShapeResolver that will throw ValueErrors when shapes are resolved.
|
||||
"""
|
||||
def get_shape_by_name(self, shape_name, member_traits=None):
|
||||
raise ValueError("Attempted to lookup shape '%s', but no shape "
|
||||
"map was provided.")
|
||||
|
||||
def resolve_shape_ref(self, shape_ref):
|
||||
raise ValueError("Attempted to resolve shape '%s', but no shape "
|
||||
"map was provided.")
|
||||
|
||||
|
||||
class DenormalizedStructureBuilder(object):
|
||||
"""Build a StructureShape from a denormalized model.
|
||||
|
||||
This is a convenience builder class that makes it easy to construct
|
||||
``StructureShape``s based on a denormalized model.
|
||||
|
||||
It will handle the details of creating unique shape names and creating
|
||||
the appropriate shape map needed by the ``StructureShape`` class.
|
||||
|
||||
Example usage::
|
||||
|
||||
builder = DenormalizedStructureBuilder()
|
||||
shape = builder.with_members({
|
||||
'A': {
|
||||
'type': 'structure',
|
||||
'members': {
|
||||
'B': {
|
||||
'type': 'structure',
|
||||
'members': {
|
||||
'C': {
|
||||
'type': 'string',
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}).build_model()
|
||||
# ``shape`` is now an instance of botocore.model.StructureShape
|
||||
|
||||
:type dict_type: class
|
||||
:param dict_type: The dictionary type to use, allowing you to opt-in
|
||||
to using OrderedDict or another dict type. This can
|
||||
be particularly useful for testing when order
|
||||
matters, such as for documentation.
|
||||
|
||||
"""
|
||||
def __init__(self, name=None):
|
||||
self.members = OrderedDict()
|
||||
self._name_generator = ShapeNameGenerator()
|
||||
if name is None:
|
||||
self.name = self._name_generator.new_shape_name('structure')
|
||||
|
||||
def with_members(self, members):
|
||||
"""
|
||||
|
||||
:type members: dict
|
||||
:param members: The denormalized members.
|
||||
|
||||
:return: self
|
||||
|
||||
"""
|
||||
self._members = members
|
||||
return self
|
||||
|
||||
def build_model(self):
|
||||
"""Build the model based on the provided members.
|
||||
|
||||
:rtype: botocore.model.StructureShape
|
||||
:return: The built StructureShape object.
|
||||
|
||||
"""
|
||||
shapes = OrderedDict()
|
||||
denormalized = {
|
||||
'type': 'structure',
|
||||
'members': self._members,
|
||||
}
|
||||
self._build_model(denormalized, shapes, self.name)
|
||||
resolver = ShapeResolver(shape_map=shapes)
|
||||
return StructureShape(shape_name=self.name,
|
||||
shape_model=shapes[self.name],
|
||||
shape_resolver=resolver)
|
||||
|
||||
def _build_model(self, model, shapes, shape_name):
|
||||
if model['type'] == 'structure':
|
||||
shapes[shape_name] = self._build_structure(model, shapes)
|
||||
elif model['type'] == 'list':
|
||||
shapes[shape_name] = self._build_list(model, shapes)
|
||||
elif model['type'] == 'map':
|
||||
shapes[shape_name] = self._build_map(model, shapes)
|
||||
elif model['type'] in ['string', 'integer', 'boolean', 'blob', 'float',
|
||||
'timestamp', 'long', 'double', 'char']:
|
||||
shapes[shape_name] = self._build_scalar(model)
|
||||
else:
|
||||
raise InvalidShapeError("Unknown shape type: %s" % model['type'])
|
||||
|
||||
def _build_structure(self, model, shapes):
|
||||
members = OrderedDict()
|
||||
shape = self._build_initial_shape(model)
|
||||
shape['members'] = members
|
||||
|
||||
for name, member_model in model['members'].items():
|
||||
member_shape_name = self._get_shape_name(member_model)
|
||||
members[name] = {'shape': member_shape_name}
|
||||
self._build_model(member_model, shapes, member_shape_name)
|
||||
return shape
|
||||
|
||||
def _build_list(self, model, shapes):
|
||||
member_shape_name = self._get_shape_name(model)
|
||||
shape = self._build_initial_shape(model)
|
||||
shape['member'] = {'shape': member_shape_name}
|
||||
self._build_model(model['member'], shapes, member_shape_name)
|
||||
return shape
|
||||
|
||||
def _build_map(self, model, shapes):
|
||||
key_shape_name = self._get_shape_name(model['key'])
|
||||
value_shape_name = self._get_shape_name(model['value'])
|
||||
shape = self._build_initial_shape(model)
|
||||
shape['key'] = {'shape': key_shape_name}
|
||||
shape['value'] = {'shape': value_shape_name}
|
||||
self._build_model(model['key'], shapes, key_shape_name)
|
||||
self._build_model(model['value'], shapes, value_shape_name)
|
||||
return shape
|
||||
|
||||
def _build_initial_shape(self, model):
|
||||
shape = {
|
||||
'type': model['type'],
|
||||
}
|
||||
if 'documentation' in model:
|
||||
shape['documentation'] = model['documentation']
|
||||
for attr in Shape.METADATA_ATTRS:
|
||||
if attr in model:
|
||||
shape[attr] = model[attr]
|
||||
return shape
|
||||
|
||||
def _build_scalar(self, model):
|
||||
return self._build_initial_shape(model)
|
||||
|
||||
def _get_shape_name(self, model):
|
||||
if 'shape_name' in model:
|
||||
return model['shape_name']
|
||||
else:
|
||||
return self._name_generator.new_shape_name(model['type'])
|
||||
|
||||
|
||||
class ShapeNameGenerator(object):
|
||||
"""Generate unique shape names for a type.
|
||||
|
||||
This class can be used in conjunction with the DenormalizedStructureBuilder
|
||||
to generate unique shape names for a given type.
|
||||
|
||||
"""
|
||||
def __init__(self):
|
||||
self._name_cache = defaultdict(int)
|
||||
|
||||
def new_shape_name(self, type_name):
|
||||
"""Generate a unique shape name.
|
||||
|
||||
This method will guarantee a unique shape name each time it is
|
||||
called with the same type.
|
||||
|
||||
::
|
||||
|
||||
>>> s = ShapeNameGenerator()
|
||||
>>> s.new_shape_name('structure')
|
||||
'StructureType1'
|
||||
>>> s.new_shape_name('structure')
|
||||
'StructureType2'
|
||||
>>> s.new_shape_name('list')
|
||||
'ListType1'
|
||||
>>> s.new_shape_name('list')
|
||||
'ListType2'
|
||||
|
||||
|
||||
:type type_name: string
|
||||
:param type_name: The type name (structure, list, map, string, etc.)
|
||||
|
||||
:rtype: string
|
||||
:return: A unique shape name for the given type
|
||||
|
||||
"""
|
||||
self._name_cache[type_name] += 1
|
||||
current_index = self._name_cache[type_name]
|
||||
return '%sType%s' % (type_name.capitalize(),
|
||||
current_index)
|
||||
Reference in New Issue
Block a user