# 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 copy import deepcopy
from typing import Any, Awaitable, Optional, TYPE_CHECKING

from azure.core.rest import AsyncHttpResponse, HttpRequest
from azure.mgmt.core import AsyncARMPipelineClient
from msrest import Deserializer, Serializer

from .. import models
from ._configuration import AzureMachineLearningWorkspacesConfiguration
from .operations import BatchDeploymentsOperations, BatchEndpointsOperations, CodeContainersOperations, CodeVersionsOperations, ComponentContainersOperations, ComponentVersionsOperations, ComputeOperations, DatasetContainersOperations, DatasetVersionsOperations, DatastoresOperations, EnvironmentContainersOperations, EnvironmentVersionsOperations, JobsOperations, ModelContainersOperations, ModelVersionsOperations, OnlineDeploymentsOperations, OnlineEndpointsOperations, Operations, PrivateEndpointConnectionsOperations, PrivateLinkResourcesOperations, QuotasOperations, UsagesOperations, VirtualMachineSizesOperations, WorkspaceConnectionsOperations, WorkspaceFeaturesOperations, WorkspacesOperations

if TYPE_CHECKING:
    # pylint: disable=unused-import,ungrouped-imports
    from azure.core.credentials_async import AsyncTokenCredential

class AzureMachineLearningWorkspaces:
    """These APIs allow end users to operate on Azure Machine Learning Workspace resources.

    :ivar batch_endpoints: BatchEndpointsOperations operations
    :vartype batch_endpoints:
     azure.mgmt.machinelearningservices.aio.operations.BatchEndpointsOperations
    :ivar batch_deployments: BatchDeploymentsOperations operations
    :vartype batch_deployments:
     azure.mgmt.machinelearningservices.aio.operations.BatchDeploymentsOperations
    :ivar code_containers: CodeContainersOperations operations
    :vartype code_containers:
     azure.mgmt.machinelearningservices.aio.operations.CodeContainersOperations
    :ivar code_versions: CodeVersionsOperations operations
    :vartype code_versions:
     azure.mgmt.machinelearningservices.aio.operations.CodeVersionsOperations
    :ivar component_containers: ComponentContainersOperations operations
    :vartype component_containers:
     azure.mgmt.machinelearningservices.aio.operations.ComponentContainersOperations
    :ivar component_versions: ComponentVersionsOperations operations
    :vartype component_versions:
     azure.mgmt.machinelearningservices.aio.operations.ComponentVersionsOperations
    :ivar dataset_containers: DatasetContainersOperations operations
    :vartype dataset_containers:
     azure.mgmt.machinelearningservices.aio.operations.DatasetContainersOperations
    :ivar dataset_versions: DatasetVersionsOperations operations
    :vartype dataset_versions:
     azure.mgmt.machinelearningservices.aio.operations.DatasetVersionsOperations
    :ivar datastores: DatastoresOperations operations
    :vartype datastores: azure.mgmt.machinelearningservices.aio.operations.DatastoresOperations
    :ivar environment_containers: EnvironmentContainersOperations operations
    :vartype environment_containers:
     azure.mgmt.machinelearningservices.aio.operations.EnvironmentContainersOperations
    :ivar environment_versions: EnvironmentVersionsOperations operations
    :vartype environment_versions:
     azure.mgmt.machinelearningservices.aio.operations.EnvironmentVersionsOperations
    :ivar jobs: JobsOperations operations
    :vartype jobs: azure.mgmt.machinelearningservices.aio.operations.JobsOperations
    :ivar model_containers: ModelContainersOperations operations
    :vartype model_containers:
     azure.mgmt.machinelearningservices.aio.operations.ModelContainersOperations
    :ivar model_versions: ModelVersionsOperations operations
    :vartype model_versions:
     azure.mgmt.machinelearningservices.aio.operations.ModelVersionsOperations
    :ivar online_endpoints: OnlineEndpointsOperations operations
    :vartype online_endpoints:
     azure.mgmt.machinelearningservices.aio.operations.OnlineEndpointsOperations
    :ivar online_deployments: OnlineDeploymentsOperations operations
    :vartype online_deployments:
     azure.mgmt.machinelearningservices.aio.operations.OnlineDeploymentsOperations
    :ivar operations: Operations operations
    :vartype operations: azure.mgmt.machinelearningservices.aio.operations.Operations
    :ivar workspaces: WorkspacesOperations operations
    :vartype workspaces: azure.mgmt.machinelearningservices.aio.operations.WorkspacesOperations
    :ivar usages: UsagesOperations operations
    :vartype usages: azure.mgmt.machinelearningservices.aio.operations.UsagesOperations
    :ivar virtual_machine_sizes: VirtualMachineSizesOperations operations
    :vartype virtual_machine_sizes:
     azure.mgmt.machinelearningservices.aio.operations.VirtualMachineSizesOperations
    :ivar quotas: QuotasOperations operations
    :vartype quotas: azure.mgmt.machinelearningservices.aio.operations.QuotasOperations
    :ivar compute: ComputeOperations operations
    :vartype compute: azure.mgmt.machinelearningservices.aio.operations.ComputeOperations
    :ivar private_endpoint_connections: PrivateEndpointConnectionsOperations operations
    :vartype private_endpoint_connections:
     azure.mgmt.machinelearningservices.aio.operations.PrivateEndpointConnectionsOperations
    :ivar private_link_resources: PrivateLinkResourcesOperations operations
    :vartype private_link_resources:
     azure.mgmt.machinelearningservices.aio.operations.PrivateLinkResourcesOperations
    :ivar workspace_connections: WorkspaceConnectionsOperations operations
    :vartype workspace_connections:
     azure.mgmt.machinelearningservices.aio.operations.WorkspaceConnectionsOperations
    :ivar workspace_features: WorkspaceFeaturesOperations operations
    :vartype workspace_features:
     azure.mgmt.machinelearningservices.aio.operations.WorkspaceFeaturesOperations
    :param credential: Credential needed for the client to connect to Azure.
    :type credential: ~azure.core.credentials_async.AsyncTokenCredential
    :param subscription_id: The ID of the target subscription.
    :type subscription_id: str
    :param base_url: Service URL. Default value is 'https://management.azure.com'.
    :type base_url: str
    :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
     Retry-After header is present.
    """

    def __init__(
        self,
        credential: "AsyncTokenCredential",
        subscription_id: str,
        base_url: str = "https://management.azure.com",
        **kwargs: Any
    ) -> None:
        self._config = AzureMachineLearningWorkspacesConfiguration(credential=credential, subscription_id=subscription_id, **kwargs)
        self._client = AsyncARMPipelineClient(base_url=base_url, config=self._config, **kwargs)

        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
        self._serialize = Serializer(client_models)
        self._deserialize = Deserializer(client_models)
        self._serialize.client_side_validation = False
        self.batch_endpoints = BatchEndpointsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.batch_deployments = BatchDeploymentsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.code_containers = CodeContainersOperations(self._client, self._config, self._serialize, self._deserialize)
        self.code_versions = CodeVersionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.component_containers = ComponentContainersOperations(self._client, self._config, self._serialize, self._deserialize)
        self.component_versions = ComponentVersionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.dataset_containers = DatasetContainersOperations(self._client, self._config, self._serialize, self._deserialize)
        self.dataset_versions = DatasetVersionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.datastores = DatastoresOperations(self._client, self._config, self._serialize, self._deserialize)
        self.environment_containers = EnvironmentContainersOperations(self._client, self._config, self._serialize, self._deserialize)
        self.environment_versions = EnvironmentVersionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.jobs = JobsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.model_containers = ModelContainersOperations(self._client, self._config, self._serialize, self._deserialize)
        self.model_versions = ModelVersionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.online_endpoints = OnlineEndpointsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.online_deployments = OnlineDeploymentsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.operations = Operations(self._client, self._config, self._serialize, self._deserialize)
        self.workspaces = WorkspacesOperations(self._client, self._config, self._serialize, self._deserialize)
        self.usages = UsagesOperations(self._client, self._config, self._serialize, self._deserialize)
        self.virtual_machine_sizes = VirtualMachineSizesOperations(self._client, self._config, self._serialize, self._deserialize)
        self.quotas = QuotasOperations(self._client, self._config, self._serialize, self._deserialize)
        self.compute = ComputeOperations(self._client, self._config, self._serialize, self._deserialize)
        self.private_endpoint_connections = PrivateEndpointConnectionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.private_link_resources = PrivateLinkResourcesOperations(self._client, self._config, self._serialize, self._deserialize)
        self.workspace_connections = WorkspaceConnectionsOperations(self._client, self._config, self._serialize, self._deserialize)
        self.workspace_features = WorkspaceFeaturesOperations(self._client, self._config, self._serialize, self._deserialize)


    def _send_request(
        self,
        request: HttpRequest,
        **kwargs: Any
    ) -> Awaitable[AsyncHttpResponse]:
        """Runs the network request through the client's chained policies.

        >>> from azure.core.rest import HttpRequest
        >>> request = HttpRequest("GET", "https://www.example.org/")
        <HttpRequest [GET], url: 'https://www.example.org/'>
        >>> response = await client._send_request(request)
        <AsyncHttpResponse: 200 OK>

        For more information on this code flow, see https://aka.ms/azsdk/python/protocol/quickstart

        :param request: The network request you want to make. Required.
        :type request: ~azure.core.rest.HttpRequest
        :keyword bool stream: Whether the response payload will be streamed. Defaults to False.
        :return: The response of your network call. Does not do error handling on your response.
        :rtype: ~azure.core.rest.AsyncHttpResponse
        """

        request_copy = deepcopy(request)
        request_copy.url = self._client.format_url(request_copy.url)
        return self._client.send_request(request_copy, **kwargs)

    async def close(self) -> None:
        await self._client.close()

    async def __aenter__(self) -> "AzureMachineLearningWorkspaces":
        await self._client.__aenter__()
        return self

    async def __aexit__(self, *exc_details) -> None:
        await self._client.__aexit__(*exc_details)
