# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from typing import TYPE_CHECKING
import warnings

from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpRequest, HttpResponse
from azure.core.polling import LROPoller, NoPolling, PollingMethod
from azure.mgmt.core.exceptions import ARMErrorFormat
from azure.mgmt.core.polling.arm_polling import ARMPolling

from .. import models

if TYPE_CHECKING:
    # pylint: disable=unused-import,ungrouped-imports
    from typing import Any, Callable, Dict, Generic, Iterable, Optional, TypeVar, Union

    T = TypeVar('T')
    ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]

class GremlinResourcesOperations(object):
    """GremlinResourcesOperations operations.

    You should not instantiate this class directly. Instead, you should create a Client instance that
    instantiates it for you and attaches it as an attribute.

    :ivar models: Alias to model classes used in this operation group.
    :type models: ~azure.mgmt.cosmosdb.models
    :param client: Client for service requests.
    :param config: Configuration of service client.
    :param serializer: An object model serializer.
    :param deserializer: An object model deserializer.
    """

    models = models

    def __init__(self, client, config, serializer, deserializer):
        self._client = client
        self._serialize = serializer
        self._deserialize = deserializer
        self._config = config

    def list_gremlin_databases(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Iterable["models.GremlinDatabaseListResult"]
        """Lists the Gremlin databases under an existing Azure Cosmos DB database account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: An iterator like instance of either GremlinDatabaseListResult or the result of cls(response)
        :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.cosmosdb.models.GremlinDatabaseListResult]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["models.GremlinDatabaseListResult"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        def prepare_request(next_link=None):
            # Construct headers
            header_parameters = {}  # type: Dict[str, Any]
            header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

            if not next_link:
                # Construct URL
                url = self.list_gremlin_databases.metadata['url']  # type: ignore
                path_format_arguments = {
                    'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
                    'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
                    'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
                }
                url = self._client.format_url(url, **path_format_arguments)
                # Construct parameters
                query_parameters = {}  # type: Dict[str, Any]
                query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

                request = self._client.get(url, query_parameters, header_parameters)
            else:
                url = next_link
                query_parameters = {}  # type: Dict[str, Any]
                request = self._client.get(url, query_parameters, header_parameters)
            return request

        def extract_data(pipeline_response):
            deserialized = self._deserialize('GremlinDatabaseListResult', pipeline_response)
            list_of_elem = deserialized.value
            if cls:
                list_of_elem = cls(list_of_elem)
            return None, iter(list_of_elem)

        def get_next(next_link=None):
            request = prepare_request(next_link)

            pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response, error_format=ARMErrorFormat)

            return pipeline_response

        return ItemPaged(
            get_next, extract_data
        )
    list_gremlin_databases.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases'}  # type: ignore

    def get_gremlin_database(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> "models.GremlinDatabaseGetResults"
        """Gets the Gremlin databases under an existing Azure Cosmos DB database account with the provided
        name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: GremlinDatabaseGetResults, or the result of cls(response)
        :rtype: ~azure.mgmt.cosmosdb.models.GremlinDatabaseGetResults
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["models.GremlinDatabaseGetResults"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self.get_gremlin_database.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.get(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = self._deserialize('GremlinDatabaseGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    get_gremlin_database.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}'}  # type: ignore

    def _create_update_gremlin_database_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        create_update_gremlin_database_parameters,  # type: "models.GremlinDatabaseCreateUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.GremlinDatabaseGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.GremlinDatabaseGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        content_type = kwargs.pop("content_type", "application/json")
        accept = "application/json"

        # Construct URL
        url = self._create_update_gremlin_database_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        body_content_kwargs = {}  # type: Dict[str, Any]
        body_content = self._serialize.body(create_update_gremlin_database_parameters, 'GremlinDatabaseCreateUpdateParameters')
        body_content_kwargs['content'] = body_content
        request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('GremlinDatabaseGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _create_update_gremlin_database_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}'}  # type: ignore

    def begin_create_update_gremlin_database(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        create_update_gremlin_database_parameters,  # type: "models.GremlinDatabaseCreateUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.GremlinDatabaseGetResults"]
        """Create or update an Azure Cosmos DB Gremlin database.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param create_update_gremlin_database_parameters: The parameters to provide for the current
         Gremlin database.
        :type create_update_gremlin_database_parameters: ~azure.mgmt.cosmosdb.models.GremlinDatabaseCreateUpdateParameters
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either GremlinDatabaseGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.GremlinDatabaseGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.GremlinDatabaseGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._create_update_gremlin_database_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                create_update_gremlin_database_parameters=create_update_gremlin_database_parameters,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('GremlinDatabaseGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_create_update_gremlin_database.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}'}  # type: ignore

    def _delete_gremlin_database_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> None
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"

        # Construct URL
        url = self._delete_gremlin_database_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]

        request = self._client.delete(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})

    _delete_gremlin_database_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}'}  # type: ignore

    def begin_delete_gremlin_database(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller[None]
        """Deletes an existing Azure Cosmos DB Gremlin database.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either None or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._delete_gremlin_database_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            if cls:
                return cls(pipeline_response, None, {})

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_delete_gremlin_database.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}'}  # type: ignore

    def get_gremlin_database_throughput(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> "models.ThroughputSettingsGetResults"
        """Gets the RUs per second of the Gremlin database under an existing Azure Cosmos DB database
        account with the provided name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: ThroughputSettingsGetResults, or the result of cls(response)
        :rtype: ~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self.get_gremlin_database_throughput.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.get(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    get_gremlin_database_throughput.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default'}  # type: ignore

    def _update_gremlin_database_throughput_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        update_throughput_parameters,  # type: "models.ThroughputSettingsUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.ThroughputSettingsGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.ThroughputSettingsGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        content_type = kwargs.pop("content_type", "application/json")
        accept = "application/json"

        # Construct URL
        url = self._update_gremlin_database_throughput_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        body_content_kwargs = {}  # type: Dict[str, Any]
        body_content = self._serialize.body(update_throughput_parameters, 'ThroughputSettingsUpdateParameters')
        body_content_kwargs['content'] = body_content
        request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _update_gremlin_database_throughput_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default'}  # type: ignore

    def begin_update_gremlin_database_throughput(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        update_throughput_parameters,  # type: "models.ThroughputSettingsUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.ThroughputSettingsGetResults"]
        """Update RUs per second of an Azure Cosmos DB Gremlin database.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param update_throughput_parameters: The RUs per second of the parameters to provide for the
         current Gremlin database.
        :type update_throughput_parameters: ~azure.mgmt.cosmosdb.models.ThroughputSettingsUpdateParameters
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either ThroughputSettingsGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._update_gremlin_database_throughput_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                update_throughput_parameters=update_throughput_parameters,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_update_gremlin_database_throughput.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default'}  # type: ignore

    def _migrate_gremlin_database_to_autoscale_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.ThroughputSettingsGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.ThroughputSettingsGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self._migrate_gremlin_database_to_autoscale_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.post(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _migrate_gremlin_database_to_autoscale_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default/migrateToAutoscale'}  # type: ignore

    def begin_migrate_gremlin_database_to_autoscale(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.ThroughputSettingsGetResults"]
        """Migrate an Azure Cosmos DB Gremlin database from manual throughput to autoscale.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either ThroughputSettingsGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._migrate_gremlin_database_to_autoscale_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_migrate_gremlin_database_to_autoscale.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default/migrateToAutoscale'}  # type: ignore

    def _migrate_gremlin_database_to_manual_throughput_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.ThroughputSettingsGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.ThroughputSettingsGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self._migrate_gremlin_database_to_manual_throughput_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.post(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _migrate_gremlin_database_to_manual_throughput_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default/migrateToManualThroughput'}  # type: ignore

    def begin_migrate_gremlin_database_to_manual_throughput(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.ThroughputSettingsGetResults"]
        """Migrate an Azure Cosmos DB Gremlin database from autoscale to manual throughput.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either ThroughputSettingsGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._migrate_gremlin_database_to_manual_throughput_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_migrate_gremlin_database_to_manual_throughput.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default/migrateToManualThroughput'}  # type: ignore

    def list_gremlin_graphs(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Iterable["models.GremlinGraphListResult"]
        """Lists the Gremlin graph under an existing Azure Cosmos DB database account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: An iterator like instance of either GremlinGraphListResult or the result of cls(response)
        :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.cosmosdb.models.GremlinGraphListResult]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["models.GremlinGraphListResult"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        def prepare_request(next_link=None):
            # Construct headers
            header_parameters = {}  # type: Dict[str, Any]
            header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

            if not next_link:
                # Construct URL
                url = self.list_gremlin_graphs.metadata['url']  # type: ignore
                path_format_arguments = {
                    'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
                    'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
                    'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
                    'databaseName': self._serialize.url("database_name", database_name, 'str'),
                }
                url = self._client.format_url(url, **path_format_arguments)
                # Construct parameters
                query_parameters = {}  # type: Dict[str, Any]
                query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

                request = self._client.get(url, query_parameters, header_parameters)
            else:
                url = next_link
                query_parameters = {}  # type: Dict[str, Any]
                request = self._client.get(url, query_parameters, header_parameters)
            return request

        def extract_data(pipeline_response):
            deserialized = self._deserialize('GremlinGraphListResult', pipeline_response)
            list_of_elem = deserialized.value
            if cls:
                list_of_elem = cls(list_of_elem)
            return None, iter(list_of_elem)

        def get_next(next_link=None):
            request = prepare_request(next_link)

            pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response, error_format=ARMErrorFormat)

            return pipeline_response

        return ItemPaged(
            get_next, extract_data
        )
    list_gremlin_graphs.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs'}  # type: ignore

    def get_gremlin_graph(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> "models.GremlinGraphGetResults"
        """Gets the Gremlin graph under an existing Azure Cosmos DB database account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: GremlinGraphGetResults, or the result of cls(response)
        :rtype: ~azure.mgmt.cosmosdb.models.GremlinGraphGetResults
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["models.GremlinGraphGetResults"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self.get_gremlin_graph.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.get(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = self._deserialize('GremlinGraphGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    get_gremlin_graph.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}'}  # type: ignore

    def _create_update_gremlin_graph_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        create_update_gremlin_graph_parameters,  # type: "models.GremlinGraphCreateUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.GremlinGraphGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.GremlinGraphGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        content_type = kwargs.pop("content_type", "application/json")
        accept = "application/json"

        # Construct URL
        url = self._create_update_gremlin_graph_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        body_content_kwargs = {}  # type: Dict[str, Any]
        body_content = self._serialize.body(create_update_gremlin_graph_parameters, 'GremlinGraphCreateUpdateParameters')
        body_content_kwargs['content'] = body_content
        request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('GremlinGraphGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _create_update_gremlin_graph_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}'}  # type: ignore

    def begin_create_update_gremlin_graph(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        create_update_gremlin_graph_parameters,  # type: "models.GremlinGraphCreateUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.GremlinGraphGetResults"]
        """Create or update an Azure Cosmos DB Gremlin graph.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :param create_update_gremlin_graph_parameters: The parameters to provide for the current
         Gremlin graph.
        :type create_update_gremlin_graph_parameters: ~azure.mgmt.cosmosdb.models.GremlinGraphCreateUpdateParameters
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either GremlinGraphGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.GremlinGraphGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.GremlinGraphGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._create_update_gremlin_graph_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                graph_name=graph_name,
                create_update_gremlin_graph_parameters=create_update_gremlin_graph_parameters,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('GremlinGraphGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_create_update_gremlin_graph.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}'}  # type: ignore

    def _delete_gremlin_graph_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> None
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"

        # Construct URL
        url = self._delete_gremlin_graph_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]

        request = self._client.delete(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})

    _delete_gremlin_graph_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}'}  # type: ignore

    def begin_delete_gremlin_graph(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller[None]
        """Deletes an existing Azure Cosmos DB Gremlin graph.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either None or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._delete_gremlin_graph_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                graph_name=graph_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            if cls:
                return cls(pipeline_response, None, {})

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_delete_gremlin_graph.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}'}  # type: ignore

    def get_gremlin_graph_throughput(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> "models.ThroughputSettingsGetResults"
        """Gets the Gremlin graph throughput under an existing Azure Cosmos DB database account with the
        provided name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: ThroughputSettingsGetResults, or the result of cls(response)
        :rtype: ~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self.get_gremlin_graph_throughput.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.get(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    get_gremlin_graph_throughput.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default'}  # type: ignore

    def _update_gremlin_graph_throughput_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        update_throughput_parameters,  # type: "models.ThroughputSettingsUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.ThroughputSettingsGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.ThroughputSettingsGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        content_type = kwargs.pop("content_type", "application/json")
        accept = "application/json"

        # Construct URL
        url = self._update_gremlin_graph_throughput_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        body_content_kwargs = {}  # type: Dict[str, Any]
        body_content = self._serialize.body(update_throughput_parameters, 'ThroughputSettingsUpdateParameters')
        body_content_kwargs['content'] = body_content
        request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _update_gremlin_graph_throughput_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default'}  # type: ignore

    def begin_update_gremlin_graph_throughput(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        update_throughput_parameters,  # type: "models.ThroughputSettingsUpdateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.ThroughputSettingsGetResults"]
        """Update RUs per second of an Azure Cosmos DB Gremlin graph.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :param update_throughput_parameters: The RUs per second of the parameters to provide for the
         current Gremlin graph.
        :type update_throughput_parameters: ~azure.mgmt.cosmosdb.models.ThroughputSettingsUpdateParameters
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either ThroughputSettingsGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._update_gremlin_graph_throughput_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                graph_name=graph_name,
                update_throughput_parameters=update_throughput_parameters,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_update_gremlin_graph_throughput.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default'}  # type: ignore

    def _migrate_gremlin_graph_to_autoscale_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.ThroughputSettingsGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.ThroughputSettingsGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self._migrate_gremlin_graph_to_autoscale_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.post(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _migrate_gremlin_graph_to_autoscale_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default/migrateToAutoscale'}  # type: ignore

    def begin_migrate_gremlin_graph_to_autoscale(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.ThroughputSettingsGetResults"]
        """Migrate an Azure Cosmos DB Gremlin graph from manual throughput to autoscale.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either ThroughputSettingsGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._migrate_gremlin_graph_to_autoscale_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                graph_name=graph_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_migrate_gremlin_graph_to_autoscale.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default/migrateToAutoscale'}  # type: ignore

    def _migrate_gremlin_graph_to_manual_throughput_initial(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["models.ThroughputSettingsGetResults"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["models.ThroughputSettingsGetResults"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2020-04-01"
        accept = "application/json"

        # Construct URL
        url = self._migrate_gremlin_graph_to_manual_throughput_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', min_length=1),
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'accountName': self._serialize.url("account_name", account_name, 'str', max_length=50, min_length=3, pattern=r'^[a-z0-9]+(-[a-z0-9]+)*'),
            'databaseName': self._serialize.url("database_name", database_name, 'str'),
            'graphName': self._serialize.url("graph_name", graph_name, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.post(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _migrate_gremlin_graph_to_manual_throughput_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default/migrateToManualThroughput'}  # type: ignore

    def begin_migrate_gremlin_graph_to_manual_throughput(
        self,
        resource_group_name,  # type: str
        account_name,  # type: str
        database_name,  # type: str
        graph_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["models.ThroughputSettingsGetResults"]
        """Migrate an Azure Cosmos DB Gremlin graph from autoscale to manual throughput.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
        :type resource_group_name: str
        :param account_name: Cosmos DB database account name.
        :type account_name: str
        :param database_name: Cosmos DB database name.
        :type database_name: str
        :param graph_name: Cosmos DB graph name.
        :type graph_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: True for ARMPolling, False for no polling, or a
         polling object for personal polling strategy
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either ThroughputSettingsGetResults or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["models.ThroughputSettingsGetResults"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._migrate_gremlin_graph_to_manual_throughput_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                database_name=database_name,
                graph_name=graph_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('ThroughputSettingsGetResults', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        if polling is True: polling_method = ARMPolling(lro_delay,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_migrate_gremlin_graph_to_manual_throughput.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default/migrateToManualThroughput'}  # type: ignore

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