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

# pylint: disable=line-too-long,useless-suppression,too-many-lines
# 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 collections.abc import MutableMapping
from io import IOBase
from typing import Any, Callable, Dict, IO, Iterable, Iterator, Optional, TypeVar, Union, cast, overload
import urllib.parse

from azure.core import PipelineClient
from azure.core.exceptions import (
    ClientAuthenticationError,
    HttpResponseError,
    ResourceExistsError,
    ResourceNotFoundError,
    ResourceNotModifiedError,
    StreamClosedError,
    StreamConsumedError,
    map_error,
)
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.polling import LROPoller, NoPolling, PollingMethod
from azure.core.rest import HttpRequest, HttpResponse
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict
from azure.mgmt.core.exceptions import ARMErrorFormat
from azure.mgmt.core.polling.arm_polling import ARMPolling

from .. import models as _models
from .._configuration import CosmosDBManagementClientConfiguration
from .._utils.serialization import Deserializer, Serializer

T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]

_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False


def build_list_gremlin_databases_request(
    resource_group_name: str, account_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_get_gremlin_database_request(
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_create_update_gremlin_database_request(  # pylint: disable=name-too-long
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, **kwargs)


def build_delete_gremlin_database_request(
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    return HttpRequest(method="DELETE", url=_url, params=_params, **kwargs)


def build_get_gremlin_database_throughput_request(  # pylint: disable=name-too-long
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_update_gremlin_database_throughput_request(  # pylint: disable=name-too-long
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, **kwargs)


def build_migrate_gremlin_database_to_autoscale_request(  # pylint: disable=name-too-long
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default/migrateToAutoscale",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, **kwargs)


def build_migrate_gremlin_database_to_manual_throughput_request(  # pylint: disable=name-too-long
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/throughputSettings/default/migrateToManualThroughput",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, **kwargs)


def build_list_gremlin_graphs_request(
    resource_group_name: str, account_name: str, database_name: str, subscription_id: str, **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_get_gremlin_graph_request(
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_create_update_gremlin_graph_request(  # pylint: disable=name-too-long
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, **kwargs)


def build_delete_gremlin_graph_request(
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    return HttpRequest(method="DELETE", url=_url, params=_params, **kwargs)


def build_get_gremlin_graph_throughput_request(  # pylint: disable=name-too-long
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="GET", url=_url, params=_params, headers=_headers, **kwargs)


def build_update_gremlin_graph_throughput_request(  # pylint: disable=name-too-long
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, **kwargs)


def build_migrate_gremlin_graph_to_autoscale_request(  # pylint: disable=name-too-long
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default/migrateToAutoscale",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, **kwargs)


def build_migrate_gremlin_graph_to_manual_throughput_request(  # pylint: disable=name-too-long
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/throughputSettings/default/migrateToManualThroughput",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, **kwargs)


def build_retrieve_continuous_backup_information_request(  # pylint: disable=name-too-long
    resource_group_name: str,
    account_name: str,
    database_name: str,
    graph_name: str,
    subscription_id: str,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-04-15"))
    content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
    accept = _headers.pop("Accept", "application/json")

    # Construct URL
    _url = kwargs.pop(
        "template_url",
        "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{accountName}/gremlinDatabases/{databaseName}/graphs/{graphName}/retrieveContinuousBackupInformation",
    )
    path_format_arguments = {
        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, "str", min_length=1),
        "resourceGroupName": _SERIALIZER.url(
            "resource_group_name", resource_group_name, "str", max_length=90, min_length=1
        ),
        "accountName": _SERIALIZER.url(
            "account_name", account_name, "str", max_length=50, min_length=3, pattern=r"^[a-z0-9]+(-[a-z0-9]+)*"
        ),
        "databaseName": _SERIALIZER.url("database_name", database_name, "str"),
        "graphName": _SERIALIZER.url("graph_name", graph_name, "str"),
    }

    _url: str = _url.format(**path_format_arguments)  # type: ignore

    # Construct parameters
    _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str")

    # Construct headers
    if content_type is not None:
        _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str")
    _headers["Accept"] = _SERIALIZER.header("accept", accept, "str")

    return HttpRequest(method="POST", url=_url, params=_params, headers=_headers, **kwargs)


[docs] class GremlinResourcesOperations: # pylint: disable=too-many-public-methods """ .. warning:: **DO NOT** instantiate this class directly. Instead, you should access the following operations through :class:`~azure.mgmt.cosmosdb.CosmosDBManagementClient`'s :attr:`gremlin_resources` attribute. """ models = _models def __init__(self, *args, **kwargs): input_args = list(args) self._client: PipelineClient = input_args.pop(0) if input_args else kwargs.pop("client") self._config: CosmosDBManagementClientConfiguration = input_args.pop(0) if input_args else kwargs.pop("config") self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer") self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")
[docs] @distributed_trace def list_gremlin_databases( self, resource_group_name: str, account_name: str, **kwargs: Any ) -> Iterable["_models.GremlinDatabaseGetResults"]: """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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :return: An iterator like instance of either GremlinDatabaseGetResults or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.cosmosdb.models.GremlinDatabaseGetResults] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.GremlinDatabaseListResult] = kwargs.pop("cls", None) error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) def prepare_request(next_link=None): if not next_link: _request = build_list_gremlin_databases_request( resource_group_name=resource_group_name, account_name=account_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) else: # make call to next link with the client's api-version _parsed_next_link = urllib.parse.urlparse(next_link) _next_request_params = case_insensitive_dict( { key: [urllib.parse.quote(v) for v in value] for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items() } ) _next_request_params["api-version"] = self._config.api_version _request = HttpRequest( "GET", urllib.parse.urljoin(next_link, _parsed_next_link.path), params=_next_request_params ) _request.url = self._client.format_url(_request.url) _request.method = "GET" 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) # type: ignore return None, iter(list_of_elem) def get_next(next_link=None): _request = prepare_request(next_link) _stream = False pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **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)
[docs] @distributed_trace def get_gremlin_database( self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> _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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :return: GremlinDatabaseGetResults or the result of cls(response) :rtype: ~azure.mgmt.cosmosdb.models.GremlinDatabaseGetResults :raises ~azure.core.exceptions.HttpResponseError: """ error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.GremlinDatabaseGetResults] = kwargs.pop("cls", None) _request = build_get_gremlin_database_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _stream = False pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **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.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized # type: ignore
def _create_update_gremlin_database_initial( self, resource_group_name: str, account_name: str, database_name: str, create_update_gremlin_database_parameters: Union[_models.GremlinDatabaseCreateUpdateParameters, IO[bytes]], **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) content_type = content_type or "application/json" _json = None _content = None if isinstance(create_update_gremlin_database_parameters, (IOBase, bytes)): _content = create_update_gremlin_database_parameters else: _json = self._serialize.body( create_update_gremlin_database_parameters, "GremlinDatabaseCreateUpdateParameters" ) _request = build_create_update_gremlin_database_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, content_type=content_type, json=_json, content=_content, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore @overload def begin_create_update_gremlin_database( self, resource_group_name: str, account_name: str, database_name: str, create_update_gremlin_database_parameters: _models.GremlinDatabaseCreateUpdateParameters, *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param create_update_gremlin_database_parameters: The parameters to provide for the current Gremlin database. Required. :type create_update_gremlin_database_parameters: ~azure.mgmt.cosmosdb.models.GremlinDatabaseCreateUpdateParameters :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :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: """ @overload def begin_create_update_gremlin_database( self, resource_group_name: str, account_name: str, database_name: str, create_update_gremlin_database_parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param create_update_gremlin_database_parameters: The parameters to provide for the current Gremlin database. Required. :type create_update_gremlin_database_parameters: IO[bytes] :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :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: """
[docs] @distributed_trace def begin_create_update_gremlin_database( self, resource_group_name: str, account_name: str, database_name: str, create_update_gremlin_database_parameters: Union[_models.GremlinDatabaseCreateUpdateParameters, IO[bytes]], **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param create_update_gremlin_database_parameters: The parameters to provide for the current Gremlin database. Is either a GremlinDatabaseCreateUpdateParameters type or a IO[bytes] type. Required. :type create_update_gremlin_database_parameters: ~azure.mgmt.cosmosdb.models.GremlinDatabaseCreateUpdateParameters or IO[bytes] :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: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.GremlinDatabaseGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("GremlinDatabaseGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.GremlinDatabaseGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.GremlinDatabaseGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _delete_gremlin_database_initial( self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) _request = build_delete_gremlin_database_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [202, 204]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore
[docs] @distributed_trace def begin_delete_gremlin_database( self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :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: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[None] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): # pylint: disable=inconsistent-return-statements if cls: return cls(pipeline_response, None, {}) # type: ignore if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[None].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[None](self._client, raw_result, get_long_running_output, polling_method) # type: ignore
[docs] @distributed_trace def get_gremlin_database_throughput( self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> _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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :return: ThroughputSettingsGetResults or the result of cls(response) :rtype: ~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults :raises ~azure.core.exceptions.HttpResponseError: """ error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) _request = build_get_gremlin_database_throughput_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _stream = False pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **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.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized # type: ignore
def _update_gremlin_database_throughput_initial( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, update_throughput_parameters: Union[_models.ThroughputSettingsUpdateParameters, IO[bytes]], **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) content_type = content_type or "application/json" _json = None _content = None if isinstance(update_throughput_parameters, (IOBase, bytes)): _content = update_throughput_parameters else: _json = self._serialize.body(update_throughput_parameters, "ThroughputSettingsUpdateParameters") _request = build_update_gremlin_database_throughput_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, content_type=content_type, json=_json, content=_content, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore @overload def begin_update_gremlin_database_throughput( self, resource_group_name: str, account_name: str, database_name: str, update_throughput_parameters: _models.ThroughputSettingsUpdateParameters, *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param update_throughput_parameters: The RUs per second of the parameters to provide for the current Gremlin database. Required. :type update_throughput_parameters: ~azure.mgmt.cosmosdb.models.ThroughputSettingsUpdateParameters :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :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: """ @overload def begin_update_gremlin_database_throughput( self, resource_group_name: str, account_name: str, database_name: str, update_throughput_parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param update_throughput_parameters: The RUs per second of the parameters to provide for the current Gremlin database. Required. :type update_throughput_parameters: IO[bytes] :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :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: """
[docs] @distributed_trace def begin_update_gremlin_database_throughput( self, resource_group_name: str, account_name: str, database_name: str, update_throughput_parameters: Union[_models.ThroughputSettingsUpdateParameters, IO[bytes]], **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param update_throughput_parameters: The RUs per second of the parameters to provide for the current Gremlin database. Is either a ThroughputSettingsUpdateParameters type or a IO[bytes] type. Required. :type update_throughput_parameters: ~azure.mgmt.cosmosdb.models.ThroughputSettingsUpdateParameters or IO[bytes] :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: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("ThroughputSettingsGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.ThroughputSettingsGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.ThroughputSettingsGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _migrate_gremlin_database_to_autoscale_initial( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) _request = build_migrate_gremlin_database_to_autoscale_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore
[docs] @distributed_trace def begin_migrate_gremlin_database_to_autoscale( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :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: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("ThroughputSettingsGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.ThroughputSettingsGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.ThroughputSettingsGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _migrate_gremlin_database_to_manual_throughput_initial( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) _request = build_migrate_gremlin_database_to_manual_throughput_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore
[docs] @distributed_trace def begin_migrate_gremlin_database_to_manual_throughput( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :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: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("ThroughputSettingsGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.ThroughputSettingsGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.ThroughputSettingsGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
[docs] @distributed_trace def list_gremlin_graphs( self, resource_group_name: str, account_name: str, database_name: str, **kwargs: Any ) -> Iterable["_models.GremlinGraphGetResults"]: """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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :return: An iterator like instance of either GremlinGraphGetResults or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.cosmosdb.models.GremlinGraphGetResults] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.GremlinGraphListResult] = kwargs.pop("cls", None) error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) def prepare_request(next_link=None): if not next_link: _request = build_list_gremlin_graphs_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) else: # make call to next link with the client's api-version _parsed_next_link = urllib.parse.urlparse(next_link) _next_request_params = case_insensitive_dict( { key: [urllib.parse.quote(v) for v in value] for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items() } ) _next_request_params["api-version"] = self._config.api_version _request = HttpRequest( "GET", urllib.parse.urljoin(next_link, _parsed_next_link.path), params=_next_request_params ) _request.url = self._client.format_url(_request.url) _request.method = "GET" 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) # type: ignore return None, iter(list_of_elem) def get_next(next_link=None): _request = prepare_request(next_link) _stream = False pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **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)
[docs] @distributed_trace def get_gremlin_graph( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> _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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :return: GremlinGraphGetResults or the result of cls(response) :rtype: ~azure.mgmt.cosmosdb.models.GremlinGraphGetResults :raises ~azure.core.exceptions.HttpResponseError: """ error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.GremlinGraphGetResults] = kwargs.pop("cls", None) _request = build_get_gremlin_graph_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _stream = False pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **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.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized # type: ignore
def _create_update_gremlin_graph_initial( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, create_update_gremlin_graph_parameters: Union[_models.GremlinGraphCreateUpdateParameters, IO[bytes]], **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) content_type = content_type or "application/json" _json = None _content = None if isinstance(create_update_gremlin_graph_parameters, (IOBase, bytes)): _content = create_update_gremlin_graph_parameters else: _json = self._serialize.body(create_update_gremlin_graph_parameters, "GremlinGraphCreateUpdateParameters") _request = build_create_update_gremlin_graph_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, content_type=content_type, json=_json, content=_content, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore @overload def begin_create_update_gremlin_graph( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, create_update_gremlin_graph_parameters: _models.GremlinGraphCreateUpdateParameters, *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param create_update_gremlin_graph_parameters: The parameters to provide for the current Gremlin graph. Required. :type create_update_gremlin_graph_parameters: ~azure.mgmt.cosmosdb.models.GremlinGraphCreateUpdateParameters :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :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: """ @overload def begin_create_update_gremlin_graph( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, create_update_gremlin_graph_parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param create_update_gremlin_graph_parameters: The parameters to provide for the current Gremlin graph. Required. :type create_update_gremlin_graph_parameters: IO[bytes] :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :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: """
[docs] @distributed_trace def begin_create_update_gremlin_graph( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, create_update_gremlin_graph_parameters: Union[_models.GremlinGraphCreateUpdateParameters, IO[bytes]], **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param create_update_gremlin_graph_parameters: The parameters to provide for the current Gremlin graph. Is either a GremlinGraphCreateUpdateParameters type or a IO[bytes] type. Required. :type create_update_gremlin_graph_parameters: ~azure.mgmt.cosmosdb.models.GremlinGraphCreateUpdateParameters or IO[bytes] :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: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.GremlinGraphGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("GremlinGraphGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.GremlinGraphGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.GremlinGraphGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _delete_gremlin_graph_initial( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) _request = build_delete_gremlin_graph_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [202, 204]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore
[docs] @distributed_trace def begin_delete_gremlin_graph( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :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: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[None] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): # pylint: disable=inconsistent-return-statements if cls: return cls(pipeline_response, None, {}) # type: ignore if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[None].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[None](self._client, raw_result, get_long_running_output, polling_method) # type: ignore
[docs] @distributed_trace def get_gremlin_graph_throughput( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> _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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :return: ThroughputSettingsGetResults or the result of cls(response) :rtype: ~azure.mgmt.cosmosdb.models.ThroughputSettingsGetResults :raises ~azure.core.exceptions.HttpResponseError: """ error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) _request = build_get_gremlin_graph_throughput_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _stream = False pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **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.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized # type: ignore
def _update_gremlin_graph_throughput_initial( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, update_throughput_parameters: Union[_models.ThroughputSettingsUpdateParameters, IO[bytes]], **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) content_type = content_type or "application/json" _json = None _content = None if isinstance(update_throughput_parameters, (IOBase, bytes)): _content = update_throughput_parameters else: _json = self._serialize.body(update_throughput_parameters, "ThroughputSettingsUpdateParameters") _request = build_update_gremlin_graph_throughput_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, content_type=content_type, json=_json, content=_content, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore @overload def begin_update_gremlin_graph_throughput( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, update_throughput_parameters: _models.ThroughputSettingsUpdateParameters, *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param update_throughput_parameters: The RUs per second of the parameters to provide for the current Gremlin graph. Required. :type update_throughput_parameters: ~azure.mgmt.cosmosdb.models.ThroughputSettingsUpdateParameters :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :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: """ @overload def begin_update_gremlin_graph_throughput( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, update_throughput_parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param update_throughput_parameters: The RUs per second of the parameters to provide for the current Gremlin graph. Required. :type update_throughput_parameters: IO[bytes] :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :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: """
[docs] @distributed_trace def begin_update_gremlin_graph_throughput( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, update_throughput_parameters: Union[_models.ThroughputSettingsUpdateParameters, IO[bytes]], **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param update_throughput_parameters: The RUs per second of the parameters to provide for the current Gremlin graph. Is either a ThroughputSettingsUpdateParameters type or a IO[bytes] type. Required. :type update_throughput_parameters: ~azure.mgmt.cosmosdb.models.ThroughputSettingsUpdateParameters or IO[bytes] :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: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("ThroughputSettingsGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.ThroughputSettingsGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.ThroughputSettingsGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _migrate_gremlin_graph_to_autoscale_initial( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) _request = build_migrate_gremlin_graph_to_autoscale_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore
[docs] @distributed_trace def begin_migrate_gremlin_graph_to_autoscale( self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :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: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("ThroughputSettingsGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.ThroughputSettingsGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.ThroughputSettingsGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _migrate_gremlin_graph_to_manual_throughput_initial( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) _request = build_migrate_gremlin_graph_to_manual_throughput_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) response_headers = {} if response.status_code == 202: response_headers["azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("azure-AsyncOperation") ) response_headers["location"] = self._deserialize("str", response.headers.get("location")) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, response_headers) # type: ignore return deserialized # type: ignore
[docs] @distributed_trace def begin_migrate_gremlin_graph_to_manual_throughput( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, **kwargs: Any ) -> 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. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :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: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) cls: ClsType[_models.ThroughputSettingsGetResults] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) 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, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("ThroughputSettingsGetResults", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast(PollingMethod, ARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.ThroughputSettingsGetResults].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.ThroughputSettingsGetResults]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )
def _retrieve_continuous_backup_information_initial( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, location: Union[_models.ContinuousBackupRestoreLocation, IO[bytes]], **kwargs: Any ) -> Iterator[bytes]: error_map: MutableMapping = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) content_type = content_type or "application/json" _json = None _content = None if isinstance(location, (IOBase, bytes)): _content = location else: _json = self._serialize.body(location, "ContinuousBackupRestoreLocation") _request = build_retrieve_continuous_backup_information_request( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, subscription_id=self._config.subscription_id, api_version=api_version, content_type=content_type, json=_json, content=_content, headers=_headers, params=_params, ) _request.url = self._client.format_url(_request.url) _decompress = kwargs.pop("decompress", True) _stream = True pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access _request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: try: response.read() # Load the body in memory and close the socket except (StreamConsumedError, StreamClosedError): pass map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = response.stream_download(self._client._pipeline, decompress=_decompress) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized # type: ignore @overload def begin_retrieve_continuous_backup_information( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, location: _models.ContinuousBackupRestoreLocation, *, content_type: str = "application/json", **kwargs: Any ) -> LROPoller[_models.BackupInformation]: """Retrieves continuous backup information for a gremlin graph. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param location: The name of the continuous backup restore location. Required. :type location: ~azure.mgmt.cosmosdb.models.ContinuousBackupRestoreLocation :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :return: An instance of LROPoller that returns either BackupInformation or the result of cls(response) :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.BackupInformation] :raises ~azure.core.exceptions.HttpResponseError: """ @overload def begin_retrieve_continuous_backup_information( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, location: IO[bytes], *, content_type: str = "application/json", **kwargs: Any ) -> LROPoller[_models.BackupInformation]: """Retrieves continuous backup information for a gremlin graph. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param location: The name of the continuous backup restore location. Required. :type location: IO[bytes] :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :return: An instance of LROPoller that returns either BackupInformation or the result of cls(response) :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.BackupInformation] :raises ~azure.core.exceptions.HttpResponseError: """
[docs] @distributed_trace def begin_retrieve_continuous_backup_information( # pylint: disable=name-too-long self, resource_group_name: str, account_name: str, database_name: str, graph_name: str, location: Union[_models.ContinuousBackupRestoreLocation, IO[bytes]], **kwargs: Any ) -> LROPoller[_models.BackupInformation]: """Retrieves continuous backup information for a gremlin graph. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param account_name: Cosmos DB database account name. Required. :type account_name: str :param database_name: Cosmos DB database name. Required. :type database_name: str :param graph_name: Cosmos DB graph name. Required. :type graph_name: str :param location: The name of the continuous backup restore location. Is either a ContinuousBackupRestoreLocation type or a IO[bytes] type. Required. :type location: ~azure.mgmt.cosmosdb.models.ContinuousBackupRestoreLocation or IO[bytes] :return: An instance of LROPoller that returns either BackupInformation or the result of cls(response) :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.cosmosdb.models.BackupInformation] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.BackupInformation] = kwargs.pop("cls", None) polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) if cont_token is None: raw_result = self._retrieve_continuous_backup_information_initial( resource_group_name=resource_group_name, account_name=account_name, database_name=database_name, graph_name=graph_name, location=location, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) raw_result.http_response.read() # type: ignore kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("BackupInformation", pipeline_response.http_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized if polling is True: polling_method: PollingMethod = cast( PollingMethod, ARMPolling(lro_delay, lro_options={"final-state-via": "location"}, **kwargs) ) elif polling is False: polling_method = cast(PollingMethod, NoPolling()) else: polling_method = polling if cont_token: return LROPoller[_models.BackupInformation].from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return LROPoller[_models.BackupInformation]( self._client, raw_result, get_long_running_output, polling_method # type: ignore )