245 lines
9.3 KiB
Python
245 lines
9.3 KiB
Python
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# Copyright 2014 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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import logging
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from botocore import xform_name
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from .params import create_request_parameters
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from .response import RawHandler, ResourceHandler
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from .model import Action
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from boto3.docs.docstring import ActionDocstring
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from boto3.utils import inject_attribute
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logger = logging.getLogger(__name__)
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class ServiceAction(object):
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"""
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A class representing a callable action on a resource, for example
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``sqs.get_queue_by_name(...)`` or ``s3.Bucket('foo').delete()``.
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The action may construct parameters from existing resource identifiers
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and may return either a raw response or a new resource instance.
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:type action_model: :py:class`~boto3.resources.model.Action`
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:param action_model: The action model.
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:type factory: ResourceFactory
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:param factory: The factory that created the resource class to which
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this action is attached.
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:type service_context: :py:class:`~boto3.utils.ServiceContext`
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:param service_context: Context about the AWS service
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"""
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def __init__(self, action_model, factory=None, service_context=None):
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self._action_model = action_model
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# In the simplest case we just return the response, but if a
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# resource is defined, then we must create these before returning.
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resource_response_model = action_model.resource
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if resource_response_model:
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self._response_handler = ResourceHandler(
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search_path=resource_response_model.path,
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factory=factory, resource_model=resource_response_model,
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service_context=service_context,
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operation_name=action_model.request.operation
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)
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else:
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self._response_handler = RawHandler(action_model.path)
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def __call__(self, parent, *args, **kwargs):
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"""
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Perform the action's request operation after building operation
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parameters and build any defined resources from the response.
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:type parent: :py:class:`~boto3.resources.base.ServiceResource`
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:param parent: The resource instance to which this action is attached.
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:rtype: dict or ServiceResource or list(ServiceResource)
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:return: The response, either as a raw dict or resource instance(s).
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"""
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operation_name = xform_name(self._action_model.request.operation)
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# First, build predefined params and then update with the
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# user-supplied kwargs, which allows overriding the pre-built
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# params if needed.
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params = create_request_parameters(parent, self._action_model.request)
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params.update(kwargs)
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logger.debug('Calling %s:%s with %r', parent.meta.service_name,
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operation_name, params)
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response = getattr(parent.meta.client, operation_name)(**params)
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logger.debug('Response: %r', response)
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return self._response_handler(parent, params, response)
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class BatchAction(ServiceAction):
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"""
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An action which operates on a batch of items in a collection, typically
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a single page of results from the collection's underlying service
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operation call. For example, this allows you to delete up to 999
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S3 objects in a single operation rather than calling ``.delete()`` on
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each one individually.
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:type action_model: :py:class`~boto3.resources.model.Action`
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:param action_model: The action model.
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:type factory: ResourceFactory
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:param factory: The factory that created the resource class to which
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this action is attached.
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:type service_context: :py:class:`~boto3.utils.ServiceContext`
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:param service_context: Context about the AWS service
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"""
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def __call__(self, parent, *args, **kwargs):
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"""
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Perform the batch action's operation on every page of results
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from the collection.
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:type parent:
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:py:class:`~boto3.resources.collection.ResourceCollection`
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:param parent: The collection iterator to which this action
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is attached.
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:rtype: list(dict)
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:return: A list of low-level response dicts from each call.
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"""
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service_name = None
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client = None
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responses = []
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operation_name = xform_name(self._action_model.request.operation)
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# Unlike the simple action above, a batch action must operate
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# on batches (or pages) of items. So we get each page, construct
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# the necessary parameters and call the batch operation.
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for page in parent.pages():
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params = {}
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for index, resource in enumerate(page):
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# There is no public interface to get a service name
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# or low-level client from a collection, so we get
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# these from the first resource in the collection.
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if service_name is None:
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service_name = resource.meta.service_name
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if client is None:
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client = resource.meta.client
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create_request_parameters(
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resource, self._action_model.request,
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params=params, index=index)
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if not params:
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# There are no items, no need to make a call.
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break
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params.update(kwargs)
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logger.debug('Calling %s:%s with %r',
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service_name, operation_name, params)
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response = getattr(client, operation_name)(**params)
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logger.debug('Response: %r', response)
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responses.append(
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self._response_handler(parent, params, response))
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return responses
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class WaiterAction(object):
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"""
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A class representing a callable waiter action on a resource, for example
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``s3.Bucket('foo').wait_until_bucket_exists()``.
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The waiter action may construct parameters from existing resource
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identifiers.
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:type waiter_model: :py:class`~boto3.resources.model.Waiter`
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:param waiter_model: The action waiter.
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:type waiter_resource_name: string
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:param waiter_resource_name: The name of the waiter action for the
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resource. It usually begins with a
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``wait_until_``
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"""
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def __init__(self, waiter_model, waiter_resource_name):
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self._waiter_model = waiter_model
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self._waiter_resource_name = waiter_resource_name
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def __call__(self, parent, *args, **kwargs):
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"""
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Perform the wait operation after building operation
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parameters.
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:type parent: :py:class:`~boto3.resources.base.ServiceResource`
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:param parent: The resource instance to which this action is attached.
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"""
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client_waiter_name = xform_name(self._waiter_model.waiter_name)
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# First, build predefined params and then update with the
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# user-supplied kwargs, which allows overriding the pre-built
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# params if needed.
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params = create_request_parameters(parent, self._waiter_model)
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params.update(kwargs)
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logger.debug('Calling %s:%s with %r',
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parent.meta.service_name,
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self._waiter_resource_name, params)
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client = parent.meta.client
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waiter = client.get_waiter(client_waiter_name)
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response = waiter.wait(**params)
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logger.debug('Response: %r', response)
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class CustomModeledAction(object):
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"""A custom, modeled action to inject into a resource."""
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def __init__(self, action_name, action_model,
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function, event_emitter):
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"""
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:type action_name: str
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:param action_name: The name of the action to inject, e.g.
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'delete_tags'
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:type action_model: dict
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:param action_model: A JSON definition of the action, as if it were
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part of the resource model.
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:type function: function
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:param function: The function to perform when the action is called.
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The first argument should be 'self', which will be the resource
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the function is to be called on.
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:type event_emitter: :py:class:`botocore.hooks.BaseEventHooks`
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:param event_emitter: The session event emitter.
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"""
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self.name = action_name
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self.model = action_model
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self.function = function
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self.emitter = event_emitter
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def inject(self, class_attributes, service_context, event_name, **kwargs):
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resource_name = event_name.rsplit(".")[-1]
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action = Action(self.name, self.model, {})
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self.function.__name__ = self.name
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self.function.__doc__ = ActionDocstring(
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resource_name=resource_name,
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event_emitter=self.emitter,
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action_model=action,
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service_model=service_context.service_model,
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include_signature=False
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)
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inject_attribute(class_attributes, self.name, self.function)
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