Source code for azure.mgmt.cosmosdb.operations._gremlin_resources_operations

# 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]]

[docs]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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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
[docs] 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