Esempio n. 1
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    def _add_model_driven_method(self, section, method_name):
        service_model = self._client.meta.service_model
        operation_name = self._client.meta.method_to_api_mapping[method_name]
        operation_model = service_model.operation_model(operation_name)

        example_prefix = 'response = client.%s' % method_name
        document_model_driven_method(
            section, method_name, operation_model,
            event_emitter=self._client.meta.events,
            method_description=operation_model.documentation,
            example_prefix=example_prefix,
        )

        # Add the shared examples
        shared_examples = self._shared_examples.get(operation_name)
        if shared_examples:
            document_shared_examples(
                section, operation_model, example_prefix, shared_examples)
Esempio n. 2
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    def _add_model_driven_method(self, section, method_name):
        service_model = self._client.meta.service_model
        operation_name = self._client.meta.method_to_api_mapping[method_name]
        operation_model = service_model.operation_model(operation_name)

        example_prefix = 'response = client.%s' % method_name
        document_model_driven_method(
            section,
            method_name,
            operation_model,
            event_emitter=self._client.meta.events,
            method_description=operation_model.documentation,
            example_prefix=example_prefix,
        )

        # Add the shared examples
        shared_examples = self._shared_examples.get(operation_name)
        if shared_examples:
            document_shared_examples(section, operation_model, example_prefix,
                                     shared_examples)
Esempio n. 3
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def document_wait_method(section,
                         waiter_name,
                         event_emitter,
                         service_model,
                         service_waiter_model,
                         include_signature=True):
    """Documents a the wait method of a waiter

    :param section: The section to write to

    :param waiter_name: The name of the waiter

    :param event_emitter: The event emitter to use to emit events

    :param service_model: The service model

    :param service_waiter_model: The waiter model associated to the service

    :param include_signature: Whether or not to include the signature.
        It is useful for generating docstrings.
    """
    waiter_model = service_waiter_model.get_waiter(waiter_name)
    operation_model = service_model.operation_model(waiter_model.operation)

    wait_description = (
        'Polls :py:meth:`{0}.Client.{1}` every {2} '
        'seconds until a successful state is reached. An error is '
        'returned after {3} failed checks.'.format(
            get_service_module_name(service_model),
            xform_name(waiter_model.operation), waiter_model.delay,
            waiter_model.max_attempts))

    document_model_driven_method(section,
                                 'wait',
                                 operation_model,
                                 event_emitter=event_emitter,
                                 method_description=wait_description,
                                 example_prefix='waiter.wait',
                                 document_output=False,
                                 include_signature=include_signature)
Esempio n. 4
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def document_paginate_method(section,
                             paginator_name,
                             event_emitter,
                             service_model,
                             paginator_config,
                             include_signature=True):
    """Documents the paginate method of a paginator

    :param section: The section to write to

    :param paginator_name: The name of the paginator. It is snake cased.

    :param event_emitter: The event emitter to use to emit events

    :param service_model: The service model

    :param paginator_config: The paginator config associated to a particular
        paginator.

    :param include_signature: Whether or not to include the signature.
        It is useful for generating docstrings.
    """
    # Retrieve the operation model of the underlying operation.
    operation_model = service_model.operation_model(paginator_name)

    # Add representations of the request and response parameters
    # we want to include in the description of the paginate method.
    # These are parameters we expose via the kscore interface.
    pagination_config_members = OrderedDict()

    pagination_config_members['MaxItems'] = DocumentedShape(
        name='MaxItems',
        type_name='integer',
        documentation=('<p>The total number of items to return. If the total '
                       'number of items available is more than the value '
                       'specified in max-items then a <code>NextToken</code> '
                       'will be provided in the output that you can use to '
                       'resume pagination.</p>'))

    pagination_config_members['PageSize'] = DocumentedShape(
        name='PageSize',
        type_name='integer',
        documentation='<p>The size of each page.<p>')

    pagination_config_members['StartingToken'] = DocumentedShape(
        name='StartingToken',
        type_name='string',
        documentation=('<p>A token to specify where to start paginating. '
                       'This is the <code>NextToken</code> from a previous '
                       'response.</p>'))

    kscore_pagination_params = [
        DocumentedShape(
            name='PaginationConfig',
            type_name='structure',
            documentation=(
                '<p>A dictionary that provides parameters to control '
                'pagination.</p>'),
            members=pagination_config_members)
    ]

    kscore_pagination_response_params = [
        DocumentedShape(name='NextToken',
                        type_name='string',
                        documentation=('<p>A token to resume pagination.</p>'))
    ]

    service_pagination_params = []

    # Add the normal input token of the method to a list
    # of input paramters that we wish to hide since we expose our own.
    if isinstance(paginator_config['input_token'], list):
        service_pagination_params += paginator_config['input_token']
    else:
        service_pagination_params.append(paginator_config['input_token'])

    # Hide the limit key in the documentation.
    if paginator_config.get('limit_key', None):
        service_pagination_params.append(paginator_config['limit_key'])

    # Hide the output tokens in the documentation.
    service_pagination_response_params = []
    if isinstance(paginator_config['output_token'], list):
        service_pagination_response_params += paginator_config['output_token']
    else:
        service_pagination_response_params.append(
            paginator_config['output_token'])

    paginate_description = (
        'Creates an iterator that will paginate through responses '
        'from :py:meth:`{0}.Client.{1}`.'.format(
            get_service_module_name(service_model),
            xform_name(paginator_name)))

    document_model_driven_method(
        section,
        'paginate',
        operation_model,
        event_emitter=event_emitter,
        method_description=paginate_description,
        example_prefix='response_iterator = paginator.paginate',
        include_input=kscore_pagination_params,
        include_output=kscore_pagination_response_params,
        exclude_input=service_pagination_params,
        exclude_output=service_pagination_response_params,
        include_signature=include_signature)
Esempio n. 5
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 def _write_docstring(self, *args, **kwargs):
     document_model_driven_method(*args, **kwargs)
Esempio n. 6
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def document_paginate_method(section, paginator_name, event_emitter,
                             service_model, paginator_config,
                             include_signature=True):
    """Documents the paginate method of a paginator

    :param section: The section to write to

    :param paginator_name: The name of the paginator. It is snake cased.

    :param event_emitter: The event emitter to use to emit events

    :param service_model: The service model

    :param paginator_config: The paginator config associated to a particular
        paginator.

    :param include_signature: Whether or not to include the signature.
        It is useful for generating docstrings.
    """
    # Retrieve the operation model of the underlying operation.
    operation_model = service_model.operation_model(
        paginator_name)

    # Add representations of the request and response parameters
    # we want to include in the description of the paginate method.
    # These are parameters we expose via the kscore interface.
    pagination_config_members = OrderedDict()

    pagination_config_members['MaxItems'] = DocumentedShape(
        name='MaxItems', type_name='integer',
        documentation=(
            '<p>The total number of items to return. If the total '
            'number of items available is more than the value '
            'specified in max-items then a <code>NextToken</code> '
            'will be provided in the output that you can use to '
            'resume pagination.</p>'))

    pagination_config_members['PageSize'] = DocumentedShape(
        name='PageSize', type_name='integer',
        documentation='<p>The size of each page.<p>')

    pagination_config_members['StartingToken'] = DocumentedShape(
        name='StartingToken', type_name='string',
        documentation=(
            '<p>A token to specify where to start paginating. '
            'This is the <code>NextToken</code> from a previous '
            'response.</p>'))

    kscore_pagination_params = [
        DocumentedShape(
            name='PaginationConfig', type_name='structure',
            documentation=(
                '<p>A dictionary that provides parameters to control '
                'pagination.</p>'),
            members=pagination_config_members)
    ]

    kscore_pagination_response_params = [
        DocumentedShape(
            name='NextToken', type_name='string',
            documentation=(
                '<p>A token to resume pagination.</p>'))
    ]

    service_pagination_params = []

    # Add the normal input token of the method to a list
    # of input paramters that we wish to hide since we expose our own.
    if isinstance(paginator_config['input_token'], list):
        service_pagination_params += paginator_config['input_token']
    else:
        service_pagination_params.append(paginator_config['input_token'])

    # Hide the limit key in the documentation.
    if paginator_config.get('limit_key', None):
        service_pagination_params.append(paginator_config['limit_key'])

    # Hide the output tokens in the documentation.
    service_pagination_response_params = []
    if isinstance(paginator_config['output_token'], list):
        service_pagination_response_params += paginator_config[
            'output_token']
    else:
        service_pagination_response_params.append(paginator_config[
            'output_token'])

    paginate_description = (
        'Creates an iterator that will paginate through responses '
        'from :py:meth:`{0}.Client.{1}`.'.format(
            get_service_module_name(service_model), xform_name(paginator_name))
    )

    document_model_driven_method(
        section, 'paginate', operation_model,
        event_emitter=event_emitter,
        method_description=paginate_description,
        example_prefix='response_iterator = paginator.paginate',
        include_input=kscore_pagination_params,
        include_output=kscore_pagination_response_params,
        exclude_input=service_pagination_params,
        exclude_output=service_pagination_response_params,
        include_signature=include_signature
    )
Esempio n. 7
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 def _write_docstring(self, *args, **kwargs):
     document_model_driven_method(*args, **kwargs)