# 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 TYPE_CHECKING

from msrest import Deserializer, Serializer

from azure.mgmt.core import ARMPipelineClient

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

if TYPE_CHECKING:
    # pylint: disable=unused-import,ungrouped-imports
    from typing import Any

    from azure.core.credentials import TokenCredential
    from azure.core.rest import HttpRequest, HttpResponse

class AzureMachineLearningWorkspaces(object):    # pylint: disable=too-many-instance-attributes
    """These APIs allow end users to operate on Azure Machine Learning Workspace resources.

    :ivar batch_endpoints: BatchEndpointsOperations operations
    :vartype batch_endpoints:
     azure.mgmt.machinelearningservices.operations.BatchEndpointsOperations
    :ivar batch_deployments: BatchDeploymentsOperations operations
    :vartype batch_deployments:
     azure.mgmt.machinelearningservices.operations.BatchDeploymentsOperations
    :ivar code_containers: CodeContainersOperations operations
    :vartype code_containers:
     azure.mgmt.machinelearningservices.operations.CodeContainersOperations
    :ivar code_versions: CodeVersionsOperations operations
    :vartype code_versions: azure.mgmt.machinelearningservices.operations.CodeVersionsOperations
    :ivar component_containers: ComponentContainersOperations operations
    :vartype component_containers:
     azure.mgmt.machinelearningservices.operations.ComponentContainersOperations
    :ivar component_versions: ComponentVersionsOperations operations
    :vartype component_versions:
     azure.mgmt.machinelearningservices.operations.ComponentVersionsOperations
    :ivar data_containers: DataContainersOperations operations
    :vartype data_containers:
     azure.mgmt.machinelearningservices.operations.DataContainersOperations
    :ivar data_versions: DataVersionsOperations operations
    :vartype data_versions: azure.mgmt.machinelearningservices.operations.DataVersionsOperations
    :ivar datastores: DatastoresOperations operations
    :vartype datastores: azure.mgmt.machinelearningservices.operations.DatastoresOperations
    :ivar environment_containers: EnvironmentContainersOperations operations
    :vartype environment_containers:
     azure.mgmt.machinelearningservices.operations.EnvironmentContainersOperations
    :ivar environment_versions: EnvironmentVersionsOperations operations
    :vartype environment_versions:
     azure.mgmt.machinelearningservices.operations.EnvironmentVersionsOperations
    :ivar jobs: JobsOperations operations
    :vartype jobs: azure.mgmt.machinelearningservices.operations.JobsOperations
    :ivar model_containers: ModelContainersOperations operations
    :vartype model_containers:
     azure.mgmt.machinelearningservices.operations.ModelContainersOperations
    :ivar model_versions: ModelVersionsOperations operations
    :vartype model_versions: azure.mgmt.machinelearningservices.operations.ModelVersionsOperations
    :ivar online_endpoints: OnlineEndpointsOperations operations
    :vartype online_endpoints:
     azure.mgmt.machinelearningservices.operations.OnlineEndpointsOperations
    :ivar online_deployments: OnlineDeploymentsOperations operations
    :vartype online_deployments:
     azure.mgmt.machinelearningservices.operations.OnlineDeploymentsOperations
    :ivar schedules: SchedulesOperations operations
    :vartype schedules: azure.mgmt.machinelearningservices.operations.SchedulesOperations
    :ivar operations: Operations operations
    :vartype operations: azure.mgmt.machinelearningservices.operations.Operations
    :ivar workspaces: WorkspacesOperations operations
    :vartype workspaces: azure.mgmt.machinelearningservices.operations.WorkspacesOperations
    :ivar usages: UsagesOperations operations
    :vartype usages: azure.mgmt.machinelearningservices.operations.UsagesOperations
    :ivar virtual_machine_sizes: VirtualMachineSizesOperations operations
    :vartype virtual_machine_sizes:
     azure.mgmt.machinelearningservices.operations.VirtualMachineSizesOperations
    :ivar quotas: QuotasOperations operations
    :vartype quotas: azure.mgmt.machinelearningservices.operations.QuotasOperations
    :ivar compute: ComputeOperations operations
    :vartype compute: azure.mgmt.machinelearningservices.operations.ComputeOperations
    :ivar private_endpoint_connections: PrivateEndpointConnectionsOperations operations
    :vartype private_endpoint_connections:
     azure.mgmt.machinelearningservices.operations.PrivateEndpointConnectionsOperations
    :ivar private_link_resources: PrivateLinkResourcesOperations operations
    :vartype private_link_resources:
     azure.mgmt.machinelearningservices.operations.PrivateLinkResourcesOperations
    :ivar workspace_connections: WorkspaceConnectionsOperations operations
    :vartype workspace_connections:
     azure.mgmt.machinelearningservices.operations.WorkspaceConnectionsOperations
    :ivar workspace_features: WorkspaceFeaturesOperations operations
    :vartype workspace_features:
     azure.mgmt.machinelearningservices.operations.WorkspaceFeaturesOperations
    :param credential: Credential needed for the client to connect to Azure.
    :type credential: ~azure.core.credentials.TokenCredential
    :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 api_version: Api Version. The default value is "2022-10-01". Note that overriding this
     default value may result in unsupported behavior.
    :paramtype api_version: 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,  # type: "TokenCredential"
        subscription_id,  # type: str
        base_url="https://management.azure.com",  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> None
        self._config = AzureMachineLearningWorkspacesConfiguration(credential=credential, subscription_id=subscription_id, **kwargs)
        self._client = ARMPipelineClient(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.data_containers = DataContainersOperations(self._client, self._config, self._serialize, self._deserialize)
        self.data_versions = DataVersionsOperations(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.schedules = SchedulesOperations(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,  # type: HttpRequest
        **kwargs  # type: Any
    ):
        # type: (...) -> HttpResponse
        """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 = client._send_request(request)
        <HttpResponse: 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.HttpResponse
        """

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

    def close(self):
        # type: () -> None
        self._client.close()

    def __enter__(self):
        # type: () -> AzureMachineLearningWorkspaces
        self._client.__enter__()
        return self

    def __exit__(self, *exc_details):
        # type: (Any) -> None
        self._client.__exit__(*exc_details)
