diff options
Diffstat (limited to '.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane')
19 files changed, 3608 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/__init__.py new file mode 100644 index 00000000..da466144 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/__init__.py @@ -0,0 +1,18 @@ +# 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 ._azure_machine_learning_workspaces import AzureMachineLearningWorkspaces +from ._version import VERSION + +__version__ = VERSION +__all__ = ['AzureMachineLearningWorkspaces'] + +# `._patch.py` is used for handwritten extensions to the generated code +# Example: https://github.com/Azure/azure-sdk-for-python/blob/main/doc/dev/customize_code/how-to-patch-sdk-code.md +from ._patch import patch_sdk +patch_sdk() diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_azure_machine_learning_workspaces.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_azure_machine_learning_workspaces.py new file mode 100644 index 00000000..ac74b1b5 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_azure_machine_learning_workspaces.py @@ -0,0 +1,101 @@ +# 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 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): + """AzureMachineLearningWorkspaces. + + :ivar workspaces: WorkspacesOperations operations + :vartype workspaces: azure.mgmt.machinelearningservices.operations.WorkspacesOperations + :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 ''. + :type base_url: str + :keyword api_version: Api Version. The default value is "2023-06-01-preview". 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="", # 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.workspaces = WorkspacesOperations(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) diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_configuration.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_configuration.py new file mode 100644 index 00000000..d6f47209 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_configuration.py @@ -0,0 +1,76 @@ +# coding=utf-8 +# -------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for license information. +# Code generated by Microsoft (R) AutoRest Code Generator. +# Changes may cause incorrect behavior and will be lost if the code is regenerated. +# -------------------------------------------------------------------------- + +from typing import TYPE_CHECKING + +from azure.core.configuration import Configuration +from azure.core.pipeline import policies +from azure.mgmt.core.policies import ARMChallengeAuthenticationPolicy, ARMHttpLoggingPolicy + +from ._version import VERSION + +if TYPE_CHECKING: + # pylint: disable=unused-import,ungrouped-imports + from typing import Any + + from azure.core.credentials import TokenCredential + + +class AzureMachineLearningWorkspacesConfiguration(Configuration): # pylint: disable=too-many-instance-attributes + """Configuration for AzureMachineLearningWorkspaces. + + Note that all parameters used to create this instance are saved as instance + attributes. + + :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 + :keyword api_version: Api Version. The default value is "2023-06-01-preview". Note that + overriding this default value may result in unsupported behavior. + :paramtype api_version: str + """ + + def __init__( + self, + credential, # type: "TokenCredential" + subscription_id, # type: str + **kwargs # type: Any + ): + # type: (...) -> None + super(AzureMachineLearningWorkspacesConfiguration, self).__init__(**kwargs) + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + + if credential is None: + raise ValueError("Parameter 'credential' must not be None.") + if subscription_id is None: + raise ValueError("Parameter 'subscription_id' must not be None.") + + self.credential = credential + self.subscription_id = subscription_id + self.api_version = api_version + self.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default']) + kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION)) + self._configure(**kwargs) + + def _configure( + self, + **kwargs # type: Any + ): + # type: (...) -> None + self.user_agent_policy = kwargs.get('user_agent_policy') or policies.UserAgentPolicy(**kwargs) + self.headers_policy = kwargs.get('headers_policy') or policies.HeadersPolicy(**kwargs) + self.proxy_policy = kwargs.get('proxy_policy') or policies.ProxyPolicy(**kwargs) + self.logging_policy = kwargs.get('logging_policy') or policies.NetworkTraceLoggingPolicy(**kwargs) + self.http_logging_policy = kwargs.get('http_logging_policy') or ARMHttpLoggingPolicy(**kwargs) + self.retry_policy = kwargs.get('retry_policy') or policies.RetryPolicy(**kwargs) + self.custom_hook_policy = kwargs.get('custom_hook_policy') or policies.CustomHookPolicy(**kwargs) + self.redirect_policy = kwargs.get('redirect_policy') or policies.RedirectPolicy(**kwargs) + self.authentication_policy = kwargs.get('authentication_policy') + if self.credential and not self.authentication_policy: + self.authentication_policy = ARMChallengeAuthenticationPolicy(self.credential, *self.credential_scopes, **kwargs) diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_patch.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_patch.py new file mode 100644 index 00000000..74e48ecd --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_patch.py @@ -0,0 +1,31 @@ +# coding=utf-8 +# -------------------------------------------------------------------------- +# +# Copyright (c) Microsoft Corporation. All rights reserved. +# +# The MIT License (MIT) +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the ""Software""), to +# deal in the Software without restriction, including without limitation the +# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +# sell copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS +# IN THE SOFTWARE. +# +# -------------------------------------------------------------------------- + +# This file is used for handwritten extensions to the generated code. Example: +# https://github.com/Azure/azure-sdk-for-python/blob/main/doc/dev/customize_code/how-to-patch-sdk-code.md +def patch_sdk(): + pass
\ No newline at end of file diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_vendor.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_vendor.py new file mode 100644 index 00000000..138f663c --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_vendor.py @@ -0,0 +1,27 @@ +# -------------------------------------------------------------------------- +# 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 azure.core.pipeline.transport import HttpRequest + +def _convert_request(request, files=None): + data = request.content if not files else None + request = HttpRequest(method=request.method, url=request.url, headers=request.headers, data=data) + if files: + request.set_formdata_body(files) + return request + +def _format_url_section(template, **kwargs): + components = template.split("/") + while components: + try: + return template.format(**kwargs) + except KeyError as key: + formatted_components = template.split("/") + components = [ + c for c in formatted_components if "{}".format(key.args[0]) not in c + ] + template = "/".join(components) diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_version.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_version.py new file mode 100644 index 00000000..eae7c95b --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/_version.py @@ -0,0 +1,9 @@ +# 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. +# -------------------------------------------------------------------------- + +VERSION = "0.1.0" diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/__init__.py new file mode 100644 index 00000000..f67ccda9 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/__init__.py @@ -0,0 +1,15 @@ +# 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 ._azure_machine_learning_workspaces import AzureMachineLearningWorkspaces +__all__ = ['AzureMachineLearningWorkspaces'] + +# `._patch.py` is used for handwritten extensions to the generated code +# Example: https://github.com/Azure/azure-sdk-for-python/blob/main/doc/dev/customize_code/how-to-patch-sdk-code.md +from ._patch import patch_sdk +patch_sdk() diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_azure_machine_learning_workspaces.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_azure_machine_learning_workspaces.py new file mode 100644 index 00000000..670634d2 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_azure_machine_learning_workspaces.py @@ -0,0 +1,94 @@ +# 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, TYPE_CHECKING + +from msrest import Deserializer, Serializer + +from azure.core.rest import AsyncHttpResponse, HttpRequest +from azure.mgmt.core import AsyncARMPipelineClient + +from .. import models +from ._configuration import AzureMachineLearningWorkspacesConfiguration +from .operations import WorkspacesOperations + +if TYPE_CHECKING: + # pylint: disable=unused-import,ungrouped-imports + from azure.core.credentials_async import AsyncTokenCredential + +class AzureMachineLearningWorkspaces: + """AzureMachineLearningWorkspaces. + + :ivar workspaces: WorkspacesOperations operations + :vartype workspaces: azure.mgmt.machinelearningservices.aio.operations.WorkspacesOperations + :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 ''. + :type base_url: str + :keyword api_version: Api Version. The default value is "2023-06-01-preview". 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: "AsyncTokenCredential", + subscription_id: str, + base_url: str = "", + **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.workspaces = WorkspacesOperations(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) diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_configuration.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_configuration.py new file mode 100644 index 00000000..7c536102 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_configuration.py @@ -0,0 +1,72 @@ +# coding=utf-8 +# -------------------------------------------------------------------------- +# Copyright (c) Microsoft Corporation. All rights reserved. +# Licensed under the MIT License. See License.txt in the project root for license information. +# Code generated by Microsoft (R) AutoRest Code Generator. +# Changes may cause incorrect behavior and will be lost if the code is regenerated. +# -------------------------------------------------------------------------- + +from typing import Any, TYPE_CHECKING + +from azure.core.configuration import Configuration +from azure.core.pipeline import policies +from azure.mgmt.core.policies import ARMHttpLoggingPolicy, AsyncARMChallengeAuthenticationPolicy + +from .._version import VERSION + +if TYPE_CHECKING: + # pylint: disable=unused-import,ungrouped-imports + from azure.core.credentials_async import AsyncTokenCredential + + +class AzureMachineLearningWorkspacesConfiguration(Configuration): # pylint: disable=too-many-instance-attributes + """Configuration for AzureMachineLearningWorkspaces. + + Note that all parameters used to create this instance are saved as instance + attributes. + + :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 + :keyword api_version: Api Version. The default value is "2023-06-01-preview". Note that + overriding this default value may result in unsupported behavior. + :paramtype api_version: str + """ + + def __init__( + self, + credential: "AsyncTokenCredential", + subscription_id: str, + **kwargs: Any + ) -> None: + super(AzureMachineLearningWorkspacesConfiguration, self).__init__(**kwargs) + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + + if credential is None: + raise ValueError("Parameter 'credential' must not be None.") + if subscription_id is None: + raise ValueError("Parameter 'subscription_id' must not be None.") + + self.credential = credential + self.subscription_id = subscription_id + self.api_version = api_version + self.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default']) + kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION)) + self._configure(**kwargs) + + def _configure( + self, + **kwargs: Any + ) -> None: + self.user_agent_policy = kwargs.get('user_agent_policy') or policies.UserAgentPolicy(**kwargs) + self.headers_policy = kwargs.get('headers_policy') or policies.HeadersPolicy(**kwargs) + self.proxy_policy = kwargs.get('proxy_policy') or policies.ProxyPolicy(**kwargs) + self.logging_policy = kwargs.get('logging_policy') or policies.NetworkTraceLoggingPolicy(**kwargs) + self.http_logging_policy = kwargs.get('http_logging_policy') or ARMHttpLoggingPolicy(**kwargs) + self.retry_policy = kwargs.get('retry_policy') or policies.AsyncRetryPolicy(**kwargs) + self.custom_hook_policy = kwargs.get('custom_hook_policy') or policies.CustomHookPolicy(**kwargs) + self.redirect_policy = kwargs.get('redirect_policy') or policies.AsyncRedirectPolicy(**kwargs) + self.authentication_policy = kwargs.get('authentication_policy') + if self.credential and not self.authentication_policy: + self.authentication_policy = AsyncARMChallengeAuthenticationPolicy(self.credential, *self.credential_scopes, **kwargs) diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_patch.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_patch.py new file mode 100644 index 00000000..74e48ecd --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/_patch.py @@ -0,0 +1,31 @@ +# coding=utf-8 +# -------------------------------------------------------------------------- +# +# Copyright (c) Microsoft Corporation. All rights reserved. +# +# The MIT License (MIT) +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the ""Software""), to +# deal in the Software without restriction, including without limitation the +# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +# sell copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS +# IN THE SOFTWARE. +# +# -------------------------------------------------------------------------- + +# This file is used for handwritten extensions to the generated code. Example: +# https://github.com/Azure/azure-sdk-for-python/blob/main/doc/dev/customize_code/how-to-patch-sdk-code.md +def patch_sdk(): + pass
\ No newline at end of file diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/operations/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/operations/__init__.py new file mode 100644 index 00000000..21534b1a --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/operations/__init__.py @@ -0,0 +1,13 @@ +# 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 ._workspaces_operations import WorkspacesOperations + +__all__ = [ + 'WorkspacesOperations', +] diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/operations/_workspaces_operations.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/operations/_workspaces_operations.py new file mode 100644 index 00000000..be23e739 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/aio/operations/_workspaces_operations.py @@ -0,0 +1,186 @@ +# pylint: disable=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 typing import Any, Callable, Dict, Optional, TypeVar, Union + +from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error +from azure.core.pipeline import PipelineResponse +from azure.core.pipeline.transport import AsyncHttpResponse +from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod +from azure.core.rest import HttpRequest +from azure.core.tracing.decorator_async import distributed_trace_async +from azure.mgmt.core.exceptions import ARMErrorFormat +from azure.mgmt.core.polling.async_arm_polling import AsyncARMPolling + +from ... import models as _models +from ..._vendor import _convert_request +from ...operations._workspaces_operations import build_hub_join_request_initial +T = TypeVar('T') +ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] + +class WorkspacesOperations: + """WorkspacesOperations async operations. + + You should not instantiate this class directly. Instead, you should create a Client instance that + instantiates it for you and attaches it as an attribute. + + :ivar models: Alias to model classes used in this operation group. + :type models: ~azure.mgmt.machinelearningservices.models + :param client: Client for service requests. + :param config: Configuration of service client. + :param serializer: An object model serializer. + :param deserializer: An object model deserializer. + """ + + models = _models + + def __init__(self, client, config, serializer, deserializer) -> None: + self._client = client + self._serialize = serializer + self._deserialize = deserializer + self._config = config + + async def _hub_join_initial( + self, + resource_group_name: str, + workspace_name: str, + project_workspace_name: str, + body: "_models.Workspace", + **kwargs: Any + ) -> Optional["_models.Workspace"]: + cls = kwargs.pop('cls', None) # type: ClsType[Optional["_models.Workspace"]] + error_map = { + 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError + } + error_map.update(kwargs.pop('error_map', {})) + + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + content_type = kwargs.pop('content_type', "application/json") # type: Optional[str] + + _json = self._serialize.body(body, 'Workspace') + + request = build_hub_join_request_initial( + subscription_id=self._config.subscription_id, + resource_group_name=resource_group_name, + workspace_name=workspace_name, + project_workspace_name=project_workspace_name, + api_version=api_version, + content_type=content_type, + json=_json, + template_url=self._hub_join_initial.metadata['url'], + ) + request = _convert_request(request) + request.url = self._client.format_url(request.url) + + pipeline_response = await self._client._pipeline.run( # pylint: disable=protected-access + request, + stream=False, + **kwargs + ) + response = pipeline_response.http_response + + if response.status_code not in [200, 202]: + map_error(status_code=response.status_code, response=response, error_map=error_map) + raise HttpResponseError(response=response, error_format=ARMErrorFormat) + + deserialized = None + response_headers = {} + if response.status_code == 200: + deserialized = self._deserialize('Workspace', pipeline_response) + + if response.status_code == 202: + response_headers['Location']=self._deserialize('str', response.headers.get('Location')) + response_headers['Retry-After']=self._deserialize('int', response.headers.get('Retry-After')) + + + if cls: + return cls(pipeline_response, deserialized, response_headers) + + return deserialized + + _hub_join_initial.metadata = {'url': "/rp/workspaces/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/join/{projectWorkspaceName}"} # type: ignore + + + @distributed_trace_async + async def begin_hub_join( + self, + resource_group_name: str, + workspace_name: str, + project_workspace_name: str, + body: "_models.Workspace", + **kwargs: Any + ) -> AsyncLROPoller["_models.Workspace"]: + """Create project workspace under workspaceHub's default resource group. + + Create project workspace under workspaceHub's default resource group. + + :param resource_group_name: The name of the resource group. The name is case insensitive. + :type resource_group_name: str + :param workspace_name: Azure Machine Learning Workspace Name. + :type workspace_name: str + :param project_workspace_name: Name of the project workspace. + :type project_workspace_name: str + :param body: + :type body: ~azure.mgmt.machinelearningservices.models.Workspace + :keyword callable cls: A custom type or function that will be passed the direct response + :keyword str continuation_token: A continuation token to restart a poller from a saved state. + :keyword polling: By default, your polling method will be AsyncARMPolling. Pass in False for + this operation to not poll, or pass in your own initialized polling object for a personal + polling strategy. + :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod + :keyword int polling_interval: Default waiting time between two polls for LRO operations if no + Retry-After header is present. + :return: An instance of AsyncLROPoller that returns either Workspace or the result of + cls(response) + :rtype: + ~azure.core.polling.AsyncLROPoller[~azure.mgmt.machinelearningservices.models.Workspace] + :raises: ~azure.core.exceptions.HttpResponseError + """ + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + content_type = kwargs.pop('content_type', "application/json") # type: Optional[str] + polling = kwargs.pop('polling', True) # type: Union[bool, AsyncPollingMethod] + cls = kwargs.pop('cls', None) # type: ClsType["_models.Workspace"] + lro_delay = kwargs.pop( + 'polling_interval', + self._config.polling_interval + ) + cont_token = kwargs.pop('continuation_token', None) # type: Optional[str] + if cont_token is None: + raw_result = await self._hub_join_initial( + resource_group_name=resource_group_name, + workspace_name=workspace_name, + project_workspace_name=project_workspace_name, + body=body, + api_version=api_version, + content_type=content_type, + cls=lambda x,y,z: x, + **kwargs + ) + kwargs.pop('error_map', None) + + def get_long_running_output(pipeline_response): + response = pipeline_response.http_response + deserialized = self._deserialize('Workspace', pipeline_response) + if cls: + return cls(pipeline_response, deserialized, {}) + return deserialized + + + if polling is True: polling_method = AsyncARMPolling(lro_delay, lro_options={'final-state-via': 'location'}, **kwargs) + elif polling is False: polling_method = AsyncNoPolling() + else: polling_method = polling + if cont_token: + return AsyncLROPoller.from_continuation_token( + polling_method=polling_method, + continuation_token=cont_token, + client=self._client, + deserialization_callback=get_long_running_output + ) + return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method) + + begin_hub_join.metadata = {'url': "/rp/workspaces/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/join/{projectWorkspaceName}"} # type: ignore diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/__init__.py new file mode 100644 index 00000000..3461e534 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/__init__.py @@ -0,0 +1,90 @@ +# 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. +# -------------------------------------------------------------------------- + +try: + from ._models_py3 import ComputeRuntimeDto + from ._models_py3 import CosmosDbSettings + from ._models_py3 import EncryptionProperty + from ._models_py3 import FeatureStoreSettings + from ._models_py3 import IdentityForCmk + from ._models_py3 import KeyVaultProperties + from ._models_py3 import ManagedServiceIdentity + from ._models_py3 import NotebookPreparationError + from ._models_py3 import NotebookResourceInfo + from ._models_py3 import PrivateEndpointConnection + from ._models_py3 import PrivateLinkServiceConnectionState + from ._models_py3 import Resource + from ._models_py3 import ServiceManagedResourcesSettings + from ._models_py3 import SharedPrivateLinkResource + from ._models_py3 import Sku + from ._models_py3 import SystemData + from ._models_py3 import UserAssignedIdentity + from ._models_py3 import Workspace + from ._models_py3 import WorkspaceHubConfig + from ._models_py3 import WorkspacePrivateEndpointResource +except (SyntaxError, ImportError): + from ._models import ComputeRuntimeDto # type: ignore + from ._models import CosmosDbSettings # type: ignore + from ._models import EncryptionProperty # type: ignore + from ._models import FeatureStoreSettings # type: ignore + from ._models import IdentityForCmk # type: ignore + from ._models import KeyVaultProperties # type: ignore + from ._models import ManagedServiceIdentity # type: ignore + from ._models import NotebookPreparationError # type: ignore + from ._models import NotebookResourceInfo # type: ignore + from ._models import PrivateEndpointConnection # type: ignore + from ._models import PrivateLinkServiceConnectionState # type: ignore + from ._models import Resource # type: ignore + from ._models import ServiceManagedResourcesSettings # type: ignore + from ._models import SharedPrivateLinkResource # type: ignore + from ._models import Sku # type: ignore + from ._models import SystemData # type: ignore + from ._models import UserAssignedIdentity # type: ignore + from ._models import Workspace # type: ignore + from ._models import WorkspaceHubConfig # type: ignore + from ._models import WorkspacePrivateEndpointResource # type: ignore + +from ._azure_machine_learning_workspaces_enums import ( + CreatedByType, + EncryptionStatus, + EndpointServiceConnectionStatus, + ManagedServiceIdentityType, + ProvisioningState, + PublicNetworkAccessType, + SkuTier, +) + +__all__ = [ + 'ComputeRuntimeDto', + 'CosmosDbSettings', + 'EncryptionProperty', + 'FeatureStoreSettings', + 'IdentityForCmk', + 'KeyVaultProperties', + 'ManagedServiceIdentity', + 'NotebookPreparationError', + 'NotebookResourceInfo', + 'PrivateEndpointConnection', + 'PrivateLinkServiceConnectionState', + 'Resource', + 'ServiceManagedResourcesSettings', + 'SharedPrivateLinkResource', + 'Sku', + 'SystemData', + 'UserAssignedIdentity', + 'Workspace', + 'WorkspaceHubConfig', + 'WorkspacePrivateEndpointResource', + 'CreatedByType', + 'EncryptionStatus', + 'EndpointServiceConnectionStatus', + 'ManagedServiceIdentityType', + 'ProvisioningState', + 'PublicNetworkAccessType', + 'SkuTier', +] diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_azure_machine_learning_workspaces_enums.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_azure_machine_learning_workspaces_enums.py new file mode 100644 index 00000000..0988ab6a --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_azure_machine_learning_workspaces_enums.py @@ -0,0 +1,79 @@ +# 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 enum import Enum +from six import with_metaclass +from azure.core import CaseInsensitiveEnumMeta + + +class CreatedByType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + """The type of identity that created the resource. + """ + + USER = "User" + APPLICATION = "Application" + MANAGED_IDENTITY = "ManagedIdentity" + KEY = "Key" + +class EncryptionStatus(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + + ENABLED = "Enabled" + DISABLED = "Disabled" + +class EndpointServiceConnectionStatus(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + """Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection) + """ + + APPROVED = "Approved" + PENDING = "Pending" + REJECTED = "Rejected" + DISCONNECTED = "Disconnected" + TIMEOUT = "Timeout" + +class ManagedServiceIdentityType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + """Type of managed service identity (where both SystemAssigned and UserAssigned types are + allowed). + """ + + NONE = "None" + SYSTEM_ASSIGNED = "SystemAssigned" + USER_ASSIGNED = "UserAssigned" + SYSTEM_ASSIGNED_USER_ASSIGNED = "SystemAssigned,UserAssigned" + +class ProvisioningState(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + + UNKNOWN = "Unknown" + UPDATING = "Updating" + CREATING = "Creating" + DELETING = "Deleting" + SUCCEEDED = "Succeeded" + FAILED = "Failed" + CANCELED = "Canceled" + +class PublicNetworkAccessType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + + ENABLED = "Enabled" + DISABLED = "Disabled" + +class SkuTier(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)): + """This field is required to be implemented by the Resource Provider if the service has more than + one tier, but is not required on a PUT. + """ + + FREE = "Free" + BASIC = "Basic" + STANDARD = "Standard" + PREMIUM = "Premium" diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_models.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_models.py new file mode 100644 index 00000000..ff3295f0 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_models.py @@ -0,0 +1,1204 @@ +# 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. +# -------------------------------------------------------------------------- + +import msrest.serialization + + +class ComputeRuntimeDto(msrest.serialization.Model): + """ComputeRuntimeDto. + + :ivar spark_runtime_version: + :vartype spark_runtime_version: str + """ + + _attribute_map = { + 'spark_runtime_version': {'key': 'sparkRuntimeVersion', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword spark_runtime_version: + :paramtype spark_runtime_version: str + """ + super(ComputeRuntimeDto, self).__init__(**kwargs) + self.spark_runtime_version = kwargs.get('spark_runtime_version', None) + + +class CosmosDbSettings(msrest.serialization.Model): + """CosmosDbSettings. + + :ivar collections_throughput: + :vartype collections_throughput: int + """ + + _attribute_map = { + 'collections_throughput': {'key': 'collectionsThroughput', 'type': 'int'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword collections_throughput: + :paramtype collections_throughput: int + """ + super(CosmosDbSettings, self).__init__(**kwargs) + self.collections_throughput = kwargs.get('collections_throughput', None) + + +class EncryptionProperty(msrest.serialization.Model): + """EncryptionProperty. + + All required parameters must be populated in order to send to Azure. + + :ivar cosmos_db_resource_id: The byok cosmosdb account that customer brings to store customer's + data + with encryption. + :vartype cosmos_db_resource_id: str + :ivar identity: Identity to be used with the keyVault. + :vartype identity: ~azure.mgmt.machinelearningservices.models.IdentityForCmk + :ivar key_vault_properties: Required. KeyVault details to do the encryption. + :vartype key_vault_properties: ~azure.mgmt.machinelearningservices.models.KeyVaultProperties + :ivar search_account_resource_id: The byok search account that customer brings to store + customer's data + with encryption. + :vartype search_account_resource_id: str + :ivar status: Required. Possible values include: "Enabled", "Disabled". + :vartype status: str or ~azure.mgmt.machinelearningservices.models.EncryptionStatus + :ivar storage_account_resource_id: The byok storage account that customer brings to store + customer's data + with encryption. + :vartype storage_account_resource_id: str + """ + + _validation = { + 'key_vault_properties': {'required': True}, + 'status': {'required': True}, + } + + _attribute_map = { + 'cosmos_db_resource_id': {'key': 'cosmosDbResourceId', 'type': 'str'}, + 'identity': {'key': 'identity', 'type': 'IdentityForCmk'}, + 'key_vault_properties': {'key': 'keyVaultProperties', 'type': 'KeyVaultProperties'}, + 'search_account_resource_id': {'key': 'searchAccountResourceId', 'type': 'str'}, + 'status': {'key': 'status', 'type': 'str'}, + 'storage_account_resource_id': {'key': 'storageAccountResourceId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword cosmos_db_resource_id: The byok cosmosdb account that customer brings to store + customer's data + with encryption. + :paramtype cosmos_db_resource_id: str + :keyword identity: Identity to be used with the keyVault. + :paramtype identity: ~azure.mgmt.machinelearningservices.models.IdentityForCmk + :keyword key_vault_properties: Required. KeyVault details to do the encryption. + :paramtype key_vault_properties: ~azure.mgmt.machinelearningservices.models.KeyVaultProperties + :keyword search_account_resource_id: The byok search account that customer brings to store + customer's data + with encryption. + :paramtype search_account_resource_id: str + :keyword status: Required. Possible values include: "Enabled", "Disabled". + :paramtype status: str or ~azure.mgmt.machinelearningservices.models.EncryptionStatus + :keyword storage_account_resource_id: The byok storage account that customer brings to store + customer's data + with encryption. + :paramtype storage_account_resource_id: str + """ + super(EncryptionProperty, self).__init__(**kwargs) + self.cosmos_db_resource_id = kwargs.get('cosmos_db_resource_id', None) + self.identity = kwargs.get('identity', None) + self.key_vault_properties = kwargs['key_vault_properties'] + self.search_account_resource_id = kwargs.get('search_account_resource_id', None) + self.status = kwargs['status'] + self.storage_account_resource_id = kwargs.get('storage_account_resource_id', None) + + +class FeatureStoreSettings(msrest.serialization.Model): + """FeatureStoreSettings. + + :ivar compute_runtime: + :vartype compute_runtime: ~azure.mgmt.machinelearningservices.models.ComputeRuntimeDto + :ivar offline_store_connection_name: + :vartype offline_store_connection_name: str + :ivar online_store_connection_name: + :vartype online_store_connection_name: str + """ + + _attribute_map = { + 'compute_runtime': {'key': 'computeRuntime', 'type': 'ComputeRuntimeDto'}, + 'offline_store_connection_name': {'key': 'offlineStoreConnectionName', 'type': 'str'}, + 'online_store_connection_name': {'key': 'onlineStoreConnectionName', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword compute_runtime: + :paramtype compute_runtime: ~azure.mgmt.machinelearningservices.models.ComputeRuntimeDto + :keyword offline_store_connection_name: + :paramtype offline_store_connection_name: str + :keyword online_store_connection_name: + :paramtype online_store_connection_name: str + """ + super(FeatureStoreSettings, self).__init__(**kwargs) + self.compute_runtime = kwargs.get('compute_runtime', None) + self.offline_store_connection_name = kwargs.get('offline_store_connection_name', None) + self.online_store_connection_name = kwargs.get('online_store_connection_name', None) + + +class IdentityForCmk(msrest.serialization.Model): + """IdentityForCmk. + + :ivar user_assigned_identity: UserAssignedIdentity to be used to fetch the encryption key from + keyVault. + :vartype user_assigned_identity: str + """ + + _attribute_map = { + 'user_assigned_identity': {'key': 'userAssignedIdentity', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword user_assigned_identity: UserAssignedIdentity to be used to fetch the encryption key + from keyVault. + :paramtype user_assigned_identity: str + """ + super(IdentityForCmk, self).__init__(**kwargs) + self.user_assigned_identity = kwargs.get('user_assigned_identity', None) + + +class KeyVaultProperties(msrest.serialization.Model): + """KeyVaultProperties. + + All required parameters must be populated in order to send to Azure. + + :ivar identity_client_id: Currently, we support only SystemAssigned MSI. + We need this when we support UserAssignedIdentities. + :vartype identity_client_id: str + :ivar key_identifier: Required. KeyVault key identifier to encrypt the data. + :vartype key_identifier: str + :ivar key_vault_arm_id: Required. KeyVault Arm Id that contains the data encryption key. + :vartype key_vault_arm_id: str + """ + + _validation = { + 'key_identifier': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'}, + 'key_vault_arm_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'}, + } + + _attribute_map = { + 'identity_client_id': {'key': 'identityClientId', 'type': 'str'}, + 'key_identifier': {'key': 'keyIdentifier', 'type': 'str'}, + 'key_vault_arm_id': {'key': 'keyVaultArmId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword identity_client_id: Currently, we support only SystemAssigned MSI. + We need this when we support UserAssignedIdentities. + :paramtype identity_client_id: str + :keyword key_identifier: Required. KeyVault key identifier to encrypt the data. + :paramtype key_identifier: str + :keyword key_vault_arm_id: Required. KeyVault Arm Id that contains the data encryption key. + :paramtype key_vault_arm_id: str + """ + super(KeyVaultProperties, self).__init__(**kwargs) + self.identity_client_id = kwargs.get('identity_client_id', None) + self.key_identifier = kwargs['key_identifier'] + self.key_vault_arm_id = kwargs['key_vault_arm_id'] + + +class ManagedServiceIdentity(msrest.serialization.Model): + """Managed service identity (system assigned and/or user assigned identities). + + Variables are only populated by the server, and will be ignored when sending a request. + + All required parameters must be populated in order to send to Azure. + + :ivar principal_id: The service principal ID of the system assigned identity. This property + will only be provided for a system assigned identity. + :vartype principal_id: str + :ivar tenant_id: The tenant ID of the system assigned identity. This property will only be + provided for a system assigned identity. + :vartype tenant_id: str + :ivar type: Required. Type of managed service identity (where both SystemAssigned and + UserAssigned types are allowed). Possible values include: "None", "SystemAssigned", + "UserAssigned", "SystemAssigned,UserAssigned". + :vartype type: str or ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentityType + :ivar user_assigned_identities: The set of user assigned identities associated with the + resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: + '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. + The dictionary values can be empty objects ({}) in requests. + :vartype user_assigned_identities: dict[str, + ~azure.mgmt.machinelearningservices.models.UserAssignedIdentity] + """ + + _validation = { + 'principal_id': {'readonly': True}, + 'tenant_id': {'readonly': True}, + 'type': {'required': True}, + } + + _attribute_map = { + 'principal_id': {'key': 'principalId', 'type': 'str'}, + 'tenant_id': {'key': 'tenantId', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'user_assigned_identities': {'key': 'userAssignedIdentities', 'type': '{UserAssignedIdentity}'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword type: Required. Type of managed service identity (where both SystemAssigned and + UserAssigned types are allowed). Possible values include: "None", "SystemAssigned", + "UserAssigned", "SystemAssigned,UserAssigned". + :paramtype type: str or ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentityType + :keyword user_assigned_identities: The set of user assigned identities associated with the + resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: + '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. + The dictionary values can be empty objects ({}) in requests. + :paramtype user_assigned_identities: dict[str, + ~azure.mgmt.machinelearningservices.models.UserAssignedIdentity] + """ + super(ManagedServiceIdentity, self).__init__(**kwargs) + self.principal_id = None + self.tenant_id = None + self.type = kwargs['type'] + self.user_assigned_identities = kwargs.get('user_assigned_identities', None) + + +class NotebookPreparationError(msrest.serialization.Model): + """NotebookPreparationError. + + :ivar error_message: + :vartype error_message: str + :ivar status_code: + :vartype status_code: int + """ + + _attribute_map = { + 'error_message': {'key': 'errorMessage', 'type': 'str'}, + 'status_code': {'key': 'statusCode', 'type': 'int'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword error_message: + :paramtype error_message: str + :keyword status_code: + :paramtype status_code: int + """ + super(NotebookPreparationError, self).__init__(**kwargs) + self.error_message = kwargs.get('error_message', None) + self.status_code = kwargs.get('status_code', None) + + +class NotebookResourceInfo(msrest.serialization.Model): + """NotebookResourceInfo. + + :ivar fqdn: + :vartype fqdn: str + :ivar is_private_link_enabled: + :vartype is_private_link_enabled: bool + :ivar notebook_preparation_error: The error that occurs when preparing notebook. + :vartype notebook_preparation_error: + ~azure.mgmt.machinelearningservices.models.NotebookPreparationError + :ivar resource_id: the data plane resourceId that used to initialize notebook component. + :vartype resource_id: str + """ + + _attribute_map = { + 'fqdn': {'key': 'fqdn', 'type': 'str'}, + 'is_private_link_enabled': {'key': 'isPrivateLinkEnabled', 'type': 'bool'}, + 'notebook_preparation_error': {'key': 'notebookPreparationError', 'type': 'NotebookPreparationError'}, + 'resource_id': {'key': 'resourceId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword fqdn: + :paramtype fqdn: str + :keyword is_private_link_enabled: + :paramtype is_private_link_enabled: bool + :keyword notebook_preparation_error: The error that occurs when preparing notebook. + :paramtype notebook_preparation_error: + ~azure.mgmt.machinelearningservices.models.NotebookPreparationError + :keyword resource_id: the data plane resourceId that used to initialize notebook component. + :paramtype resource_id: str + """ + super(NotebookResourceInfo, self).__init__(**kwargs) + self.fqdn = kwargs.get('fqdn', None) + self.is_private_link_enabled = kwargs.get('is_private_link_enabled', None) + self.notebook_preparation_error = kwargs.get('notebook_preparation_error', None) + self.resource_id = kwargs.get('resource_id', None) + + +class Resource(msrest.serialization.Model): + """Common fields that are returned in the response for all Azure Resource Manager resources. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: Fully qualified resource ID for the resource. Ex - + /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}. + :vartype id: str + :ivar name: The name of the resource. + :vartype name: str + :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or + "Microsoft.Storage/storageAccounts". + :vartype type: str + :ivar system_data: Azure Resource Manager metadata containing createdBy and modifiedBy + information. + :vartype system_data: ~azure.mgmt.machinelearningservices.models.SystemData + """ + + _validation = { + 'id': {'readonly': True}, + 'name': {'readonly': True}, + 'type': {'readonly': True}, + 'system_data': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'name': {'key': 'name', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'system_data': {'key': 'systemData', 'type': 'SystemData'}, + } + + def __init__( + self, + **kwargs + ): + """ + """ + super(Resource, self).__init__(**kwargs) + self.id = None + self.name = None + self.type = None + self.system_data = None + + +class PrivateEndpointConnection(Resource): + """PrivateEndpointConnection. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: Fully qualified resource ID for the resource. Ex - + /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}. + :vartype id: str + :ivar name: The name of the resource. + :vartype name: str + :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or + "Microsoft.Storage/storageAccounts". + :vartype type: str + :ivar system_data: Azure Resource Manager metadata containing createdBy and modifiedBy + information. + :vartype system_data: ~azure.mgmt.machinelearningservices.models.SystemData + :ivar identity: Managed service identity (system assigned and/or user assigned identities). + :vartype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :ivar location: Same as workspace location. + :vartype location: str + :ivar sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :vartype sku: ~azure.mgmt.machinelearningservices.models.Sku + :ivar tags: A set of tags. Dictionary of :code:`<string>`. + :vartype tags: dict[str, str] + :ivar private_endpoint: + :vartype private_endpoint: + ~azure.mgmt.machinelearningservices.models.WorkspacePrivateEndpointResource + :ivar private_link_service_connection_state: The connection state. + :vartype private_link_service_connection_state: + ~azure.mgmt.machinelearningservices.models.PrivateLinkServiceConnectionState + :ivar provisioning_state: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :vartype provisioning_state: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + + _validation = { + 'id': {'readonly': True}, + 'name': {'readonly': True}, + 'type': {'readonly': True}, + 'system_data': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'name': {'key': 'name', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'system_data': {'key': 'systemData', 'type': 'SystemData'}, + 'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'}, + 'location': {'key': 'location', 'type': 'str'}, + 'sku': {'key': 'sku', 'type': 'Sku'}, + 'tags': {'key': 'tags', 'type': '{str}'}, + 'private_endpoint': {'key': 'properties.privateEndpoint', 'type': 'WorkspacePrivateEndpointResource'}, + 'private_link_service_connection_state': {'key': 'properties.privateLinkServiceConnectionState', 'type': 'PrivateLinkServiceConnectionState'}, + 'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword identity: Managed service identity (system assigned and/or user assigned identities). + :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :keyword location: Same as workspace location. + :paramtype location: str + :keyword sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku + :keyword tags: A set of tags. Dictionary of :code:`<string>`. + :paramtype tags: dict[str, str] + :keyword private_endpoint: + :paramtype private_endpoint: + ~azure.mgmt.machinelearningservices.models.WorkspacePrivateEndpointResource + :keyword private_link_service_connection_state: The connection state. + :paramtype private_link_service_connection_state: + ~azure.mgmt.machinelearningservices.models.PrivateLinkServiceConnectionState + :keyword provisioning_state: Connection status of the service consumer with the service + provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :paramtype provisioning_state: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + super(PrivateEndpointConnection, self).__init__(**kwargs) + self.identity = kwargs.get('identity', None) + self.location = kwargs.get('location', None) + self.sku = kwargs.get('sku', None) + self.tags = kwargs.get('tags', None) + self.private_endpoint = kwargs.get('private_endpoint', None) + self.private_link_service_connection_state = kwargs.get('private_link_service_connection_state', None) + self.provisioning_state = kwargs.get('provisioning_state', None) + + +class PrivateLinkServiceConnectionState(msrest.serialization.Model): + """PrivateLinkServiceConnectionState. + + :ivar actions_required: Some RP chose "None". Other RPs use this for region expansion. + :vartype actions_required: str + :ivar description: User-defined message that, per NRP doc, may be used for approval-related + message. + :vartype description: str + :ivar status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :vartype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + + _attribute_map = { + 'actions_required': {'key': 'actionsRequired', 'type': 'str'}, + 'description': {'key': 'description', 'type': 'str'}, + 'status': {'key': 'status', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword actions_required: Some RP chose "None". Other RPs use this for region expansion. + :paramtype actions_required: str + :keyword description: User-defined message that, per NRP doc, may be used for approval-related + message. + :paramtype description: str + :keyword status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :paramtype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + super(PrivateLinkServiceConnectionState, self).__init__(**kwargs) + self.actions_required = kwargs.get('actions_required', None) + self.description = kwargs.get('description', None) + self.status = kwargs.get('status', None) + + +class ServiceManagedResourcesSettings(msrest.serialization.Model): + """ServiceManagedResourcesSettings. + + :ivar cosmos_db: + :vartype cosmos_db: ~azure.mgmt.machinelearningservices.models.CosmosDbSettings + """ + + _attribute_map = { + 'cosmos_db': {'key': 'cosmosDb', 'type': 'CosmosDbSettings'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword cosmos_db: + :paramtype cosmos_db: ~azure.mgmt.machinelearningservices.models.CosmosDbSettings + """ + super(ServiceManagedResourcesSettings, self).__init__(**kwargs) + self.cosmos_db = kwargs.get('cosmos_db', None) + + +class SharedPrivateLinkResource(msrest.serialization.Model): + """SharedPrivateLinkResource. + + :ivar name: Unique name of the private link. + :vartype name: str + :ivar group_id: group id of the private link. + :vartype group_id: str + :ivar private_link_resource_id: the resource id that private link links to. + :vartype private_link_resource_id: str + :ivar request_message: Request message. + :vartype request_message: str + :ivar status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :vartype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + + _attribute_map = { + 'name': {'key': 'name', 'type': 'str'}, + 'group_id': {'key': 'properties.groupId', 'type': 'str'}, + 'private_link_resource_id': {'key': 'properties.privateLinkResourceId', 'type': 'str'}, + 'request_message': {'key': 'properties.requestMessage', 'type': 'str'}, + 'status': {'key': 'properties.status', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword name: Unique name of the private link. + :paramtype name: str + :keyword group_id: group id of the private link. + :paramtype group_id: str + :keyword private_link_resource_id: the resource id that private link links to. + :paramtype private_link_resource_id: str + :keyword request_message: Request message. + :paramtype request_message: str + :keyword status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :paramtype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + super(SharedPrivateLinkResource, self).__init__(**kwargs) + self.name = kwargs.get('name', None) + self.group_id = kwargs.get('group_id', None) + self.private_link_resource_id = kwargs.get('private_link_resource_id', None) + self.request_message = kwargs.get('request_message', None) + self.status = kwargs.get('status', None) + + +class Sku(msrest.serialization.Model): + """The resource model definition representing SKU. + + All required parameters must be populated in order to send to Azure. + + :ivar name: Required. The name of the SKU. Ex - P3. It is typically a letter+number code. + :vartype name: str + :ivar tier: This field is required to be implemented by the Resource Provider if the service + has more than one tier, but is not required on a PUT. Possible values include: "Free", "Basic", + "Standard", "Premium". + :vartype tier: str or ~azure.mgmt.machinelearningservices.models.SkuTier + :ivar size: The SKU size. When the name field is the combination of tier and some other value, + this would be the standalone code. + :vartype size: str + :ivar family: If the service has different generations of hardware, for the same SKU, then that + can be captured here. + :vartype family: str + :ivar capacity: If the SKU supports scale out/in then the capacity integer should be included. + If scale out/in is not possible for the resource this may be omitted. + :vartype capacity: int + """ + + _validation = { + 'name': {'required': True}, + } + + _attribute_map = { + 'name': {'key': 'name', 'type': 'str'}, + 'tier': {'key': 'tier', 'type': 'str'}, + 'size': {'key': 'size', 'type': 'str'}, + 'family': {'key': 'family', 'type': 'str'}, + 'capacity': {'key': 'capacity', 'type': 'int'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword name: Required. The name of the SKU. Ex - P3. It is typically a letter+number code. + :paramtype name: str + :keyword tier: This field is required to be implemented by the Resource Provider if the service + has more than one tier, but is not required on a PUT. Possible values include: "Free", "Basic", + "Standard", "Premium". + :paramtype tier: str or ~azure.mgmt.machinelearningservices.models.SkuTier + :keyword size: The SKU size. When the name field is the combination of tier and some other + value, this would be the standalone code. + :paramtype size: str + :keyword family: If the service has different generations of hardware, for the same SKU, then + that can be captured here. + :paramtype family: str + :keyword capacity: If the SKU supports scale out/in then the capacity integer should be + included. If scale out/in is not possible for the resource this may be omitted. + :paramtype capacity: int + """ + super(Sku, self).__init__(**kwargs) + self.name = kwargs['name'] + self.tier = kwargs.get('tier', None) + self.size = kwargs.get('size', None) + self.family = kwargs.get('family', None) + self.capacity = kwargs.get('capacity', None) + + +class SystemData(msrest.serialization.Model): + """Metadata pertaining to creation and last modification of the resource. + + :ivar created_by: The identity that created the resource. + :vartype created_by: str + :ivar created_by_type: The type of identity that created the resource. Possible values include: + "User", "Application", "ManagedIdentity", "Key". + :vartype created_by_type: str or ~azure.mgmt.machinelearningservices.models.CreatedByType + :ivar created_at: The timestamp of resource creation (UTC). + :vartype created_at: ~datetime.datetime + :ivar last_modified_by: The identity that last modified the resource. + :vartype last_modified_by: str + :ivar last_modified_by_type: The type of identity that last modified the resource. Possible + values include: "User", "Application", "ManagedIdentity", "Key". + :vartype last_modified_by_type: str or ~azure.mgmt.machinelearningservices.models.CreatedByType + :ivar last_modified_at: The timestamp of resource last modification (UTC). + :vartype last_modified_at: ~datetime.datetime + """ + + _attribute_map = { + 'created_by': {'key': 'createdBy', 'type': 'str'}, + 'created_by_type': {'key': 'createdByType', 'type': 'str'}, + 'created_at': {'key': 'createdAt', 'type': 'iso-8601'}, + 'last_modified_by': {'key': 'lastModifiedBy', 'type': 'str'}, + 'last_modified_by_type': {'key': 'lastModifiedByType', 'type': 'str'}, + 'last_modified_at': {'key': 'lastModifiedAt', 'type': 'iso-8601'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword created_by: The identity that created the resource. + :paramtype created_by: str + :keyword created_by_type: The type of identity that created the resource. Possible values + include: "User", "Application", "ManagedIdentity", "Key". + :paramtype created_by_type: str or ~azure.mgmt.machinelearningservices.models.CreatedByType + :keyword created_at: The timestamp of resource creation (UTC). + :paramtype created_at: ~datetime.datetime + :keyword last_modified_by: The identity that last modified the resource. + :paramtype last_modified_by: str + :keyword last_modified_by_type: The type of identity that last modified the resource. Possible + values include: "User", "Application", "ManagedIdentity", "Key". + :paramtype last_modified_by_type: str or + ~azure.mgmt.machinelearningservices.models.CreatedByType + :keyword last_modified_at: The timestamp of resource last modification (UTC). + :paramtype last_modified_at: ~datetime.datetime + """ + super(SystemData, self).__init__(**kwargs) + self.created_by = kwargs.get('created_by', None) + self.created_by_type = kwargs.get('created_by_type', None) + self.created_at = kwargs.get('created_at', None) + self.last_modified_by = kwargs.get('last_modified_by', None) + self.last_modified_by_type = kwargs.get('last_modified_by_type', None) + self.last_modified_at = kwargs.get('last_modified_at', None) + + +class UserAssignedIdentity(msrest.serialization.Model): + """User assigned identity properties. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar principal_id: The principal ID of the assigned identity. + :vartype principal_id: str + :ivar client_id: The client ID of the assigned identity. + :vartype client_id: str + """ + + _validation = { + 'principal_id': {'readonly': True}, + 'client_id': {'readonly': True}, + } + + _attribute_map = { + 'principal_id': {'key': 'principalId', 'type': 'str'}, + 'client_id': {'key': 'clientId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + """ + super(UserAssignedIdentity, self).__init__(**kwargs) + self.principal_id = None + self.client_id = None + + +class Workspace(Resource): + """Workspace. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: Fully qualified resource ID for the resource. Ex - + /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}. + :vartype id: str + :ivar name: The name of the resource. + :vartype name: str + :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or + "Microsoft.Storage/storageAccounts". + :vartype type: str + :ivar system_data: Azure Resource Manager metadata containing createdBy and modifiedBy + information. + :vartype system_data: ~azure.mgmt.machinelearningservices.models.SystemData + :ivar identity: Managed service identity (system assigned and/or user assigned identities). + :vartype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :ivar kind: + :vartype kind: str + :ivar location: + :vartype location: str + :ivar sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :vartype sku: ~azure.mgmt.machinelearningservices.models.Sku + :ivar tags: A set of tags. Dictionary of :code:`<string>`. + :vartype tags: dict[str, str] + :ivar allow_public_access_when_behind_vnet: The flag to indicate whether to allow public access + when behind VNet. + :vartype allow_public_access_when_behind_vnet: bool + :ivar application_insights: ARM id of the application insights associated with this workspace. + :vartype application_insights: str + :ivar associated_workspaces: + :vartype associated_workspaces: list[str] + :ivar container_registries: + :vartype container_registries: list[str] + :ivar container_registry: ARM id of the container registry associated with this workspace. + :vartype container_registry: str + :ivar description: The description of this workspace. + :vartype description: str + :ivar discovery_url: Url for the discovery service to identify regional endpoints for machine + learning experimentation services. + :vartype discovery_url: str + :ivar enable_data_isolation: + :vartype enable_data_isolation: bool + :ivar encryption: + :vartype encryption: ~azure.mgmt.machinelearningservices.models.EncryptionProperty + :ivar existing_workspaces: + :vartype existing_workspaces: list[str] + :ivar feature_store_settings: Settings for feature store type workspace. + :vartype feature_store_settings: + ~azure.mgmt.machinelearningservices.models.FeatureStoreSettings + :ivar friendly_name: The friendly name for this workspace. This name in mutable. + :vartype friendly_name: str + :ivar hbi_workspace: The flag to signal HBI data in the workspace and reduce diagnostic data + collected by the service. + :vartype hbi_workspace: bool + :ivar hub_resource_id: + :vartype hub_resource_id: str + :ivar image_build_compute: The compute name for image build. + :vartype image_build_compute: str + :ivar key_vault: ARM id of the key vault associated with this workspace. This cannot be changed + once the workspace has been created. + :vartype key_vault: str + :ivar key_vaults: + :vartype key_vaults: list[str] + :ivar managed_network: Anything. + :vartype managed_network: any + :ivar ml_flow_tracking_uri: The URI associated with this workspace that machine learning flow + must point at to set up tracking. + :vartype ml_flow_tracking_uri: str + :ivar notebook_info: The notebook info of Azure ML workspace. + :vartype notebook_info: ~azure.mgmt.machinelearningservices.models.NotebookResourceInfo + :ivar primary_user_assigned_identity: The user assigned identity resource id that represents + the workspace identity. + :vartype primary_user_assigned_identity: str + :ivar private_endpoint_connections: The list of private endpoint connections in the workspace. + :vartype private_endpoint_connections: + list[~azure.mgmt.machinelearningservices.models.PrivateEndpointConnection] + :ivar private_link_count: Count of private connections in the workspace. + :vartype private_link_count: int + :ivar provisioning_state: The current deployment state of workspace resource. The + provisioningState is to indicate states for resource provisioning. Possible values include: + "Unknown", "Updating", "Creating", "Deleting", "Succeeded", "Failed", "Canceled". + :vartype provisioning_state: str or + ~azure.mgmt.machinelearningservices.models.ProvisioningState + :ivar public_network_access: Whether requests from Public Network are allowed. Possible values + include: "Enabled", "Disabled". + :vartype public_network_access: str or + ~azure.mgmt.machinelearningservices.models.PublicNetworkAccessType + :ivar service_managed_resources_settings: The service managed resource settings. + :vartype service_managed_resources_settings: + ~azure.mgmt.machinelearningservices.models.ServiceManagedResourcesSettings + :ivar service_provisioned_resource_group: The name of the managed resource group created by + workspace RP in customer subscription if the workspace is CMK workspace. + :vartype service_provisioned_resource_group: str + :ivar shared_private_link_resources: The list of shared private link resources in this + workspace. + :vartype shared_private_link_resources: + list[~azure.mgmt.machinelearningservices.models.SharedPrivateLinkResource] + :ivar soft_delete_retention_in_days: Retention time in days after workspace get soft deleted. + :vartype soft_delete_retention_in_days: int + :ivar storage_account: ARM id of the storage account associated with this workspace. This + cannot be changed once the workspace has been created. + :vartype storage_account: str + :ivar storage_accounts: + :vartype storage_accounts: list[str] + :ivar storage_hns_enabled: If the storage associated with the workspace has hierarchical + namespace(HNS) enabled. + :vartype storage_hns_enabled: bool + :ivar system_datastores_auth_mode: The auth mode used for accessing the system datastores of + the workspace. + :vartype system_datastores_auth_mode: str + :ivar tenant_id: The tenant id associated with this workspace. + :vartype tenant_id: str + :ivar v1_legacy_mode: Enabling v1_legacy_mode may prevent you from using features provided by + the v2 API. + :vartype v1_legacy_mode: bool + :ivar workspace_hub_config: + :vartype workspace_hub_config: ~azure.mgmt.machinelearningservices.models.WorkspaceHubConfig + :ivar workspace_id: The immutable id associated with this workspace. + :vartype workspace_id: str + """ + + _validation = { + 'id': {'readonly': True}, + 'name': {'readonly': True}, + 'type': {'readonly': True}, + 'system_data': {'readonly': True}, + 'ml_flow_tracking_uri': {'readonly': True}, + 'notebook_info': {'readonly': True}, + 'private_endpoint_connections': {'readonly': True}, + 'private_link_count': {'readonly': True}, + 'provisioning_state': {'readonly': True}, + 'service_provisioned_resource_group': {'readonly': True}, + 'storage_hns_enabled': {'readonly': True}, + 'tenant_id': {'readonly': True}, + 'workspace_id': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'name': {'key': 'name', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'system_data': {'key': 'systemData', 'type': 'SystemData'}, + 'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'}, + 'kind': {'key': 'kind', 'type': 'str'}, + 'location': {'key': 'location', 'type': 'str'}, + 'sku': {'key': 'sku', 'type': 'Sku'}, + 'tags': {'key': 'tags', 'type': '{str}'}, + 'allow_public_access_when_behind_vnet': {'key': 'properties.allowPublicAccessWhenBehindVnet', 'type': 'bool'}, + 'application_insights': {'key': 'properties.applicationInsights', 'type': 'str'}, + 'associated_workspaces': {'key': 'properties.associatedWorkspaces', 'type': '[str]'}, + 'container_registries': {'key': 'properties.containerRegistries', 'type': '[str]'}, + 'container_registry': {'key': 'properties.containerRegistry', 'type': 'str'}, + 'description': {'key': 'properties.description', 'type': 'str'}, + 'discovery_url': {'key': 'properties.discoveryUrl', 'type': 'str'}, + 'enable_data_isolation': {'key': 'properties.enableDataIsolation', 'type': 'bool'}, + 'encryption': {'key': 'properties.encryption', 'type': 'EncryptionProperty'}, + 'existing_workspaces': {'key': 'properties.existingWorkspaces', 'type': '[str]'}, + 'feature_store_settings': {'key': 'properties.featureStoreSettings', 'type': 'FeatureStoreSettings'}, + 'friendly_name': {'key': 'properties.friendlyName', 'type': 'str'}, + 'hbi_workspace': {'key': 'properties.hbiWorkspace', 'type': 'bool'}, + 'hub_resource_id': {'key': 'properties.hubResourceId', 'type': 'str'}, + 'image_build_compute': {'key': 'properties.imageBuildCompute', 'type': 'str'}, + 'key_vault': {'key': 'properties.keyVault', 'type': 'str'}, + 'key_vaults': {'key': 'properties.keyVaults', 'type': '[str]'}, + 'managed_network': {'key': 'properties.managedNetwork', 'type': 'object'}, + 'ml_flow_tracking_uri': {'key': 'properties.mlFlowTrackingUri', 'type': 'str'}, + 'notebook_info': {'key': 'properties.notebookInfo', 'type': 'NotebookResourceInfo'}, + 'primary_user_assigned_identity': {'key': 'properties.primaryUserAssignedIdentity', 'type': 'str'}, + 'private_endpoint_connections': {'key': 'properties.privateEndpointConnections', 'type': '[PrivateEndpointConnection]'}, + 'private_link_count': {'key': 'properties.privateLinkCount', 'type': 'int'}, + 'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'}, + 'public_network_access': {'key': 'properties.publicNetworkAccess', 'type': 'str'}, + 'service_managed_resources_settings': {'key': 'properties.serviceManagedResourcesSettings', 'type': 'ServiceManagedResourcesSettings'}, + 'service_provisioned_resource_group': {'key': 'properties.serviceProvisionedResourceGroup', 'type': 'str'}, + 'shared_private_link_resources': {'key': 'properties.sharedPrivateLinkResources', 'type': '[SharedPrivateLinkResource]'}, + 'soft_delete_retention_in_days': {'key': 'properties.softDeleteRetentionInDays', 'type': 'int'}, + 'storage_account': {'key': 'properties.storageAccount', 'type': 'str'}, + 'storage_accounts': {'key': 'properties.storageAccounts', 'type': '[str]'}, + 'storage_hns_enabled': {'key': 'properties.storageHnsEnabled', 'type': 'bool'}, + 'system_datastores_auth_mode': {'key': 'properties.systemDatastoresAuthMode', 'type': 'str'}, + 'tenant_id': {'key': 'properties.tenantId', 'type': 'str'}, + 'v1_legacy_mode': {'key': 'properties.v1LegacyMode', 'type': 'bool'}, + 'workspace_hub_config': {'key': 'properties.workspaceHubConfig', 'type': 'WorkspaceHubConfig'}, + 'workspace_id': {'key': 'properties.workspaceId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword identity: Managed service identity (system assigned and/or user assigned identities). + :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :keyword kind: + :paramtype kind: str + :keyword location: + :paramtype location: str + :keyword sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku + :keyword tags: A set of tags. Dictionary of :code:`<string>`. + :paramtype tags: dict[str, str] + :keyword allow_public_access_when_behind_vnet: The flag to indicate whether to allow public + access when behind VNet. + :paramtype allow_public_access_when_behind_vnet: bool + :keyword application_insights: ARM id of the application insights associated with this + workspace. + :paramtype application_insights: str + :keyword associated_workspaces: + :paramtype associated_workspaces: list[str] + :keyword container_registries: + :paramtype container_registries: list[str] + :keyword container_registry: ARM id of the container registry associated with this workspace. + :paramtype container_registry: str + :keyword description: The description of this workspace. + :paramtype description: str + :keyword discovery_url: Url for the discovery service to identify regional endpoints for + machine learning experimentation services. + :paramtype discovery_url: str + :keyword enable_data_isolation: + :paramtype enable_data_isolation: bool + :keyword encryption: + :paramtype encryption: ~azure.mgmt.machinelearningservices.models.EncryptionProperty + :keyword existing_workspaces: + :paramtype existing_workspaces: list[str] + :keyword feature_store_settings: Settings for feature store type workspace. + :paramtype feature_store_settings: + ~azure.mgmt.machinelearningservices.models.FeatureStoreSettings + :keyword friendly_name: The friendly name for this workspace. This name in mutable. + :paramtype friendly_name: str + :keyword hbi_workspace: The flag to signal HBI data in the workspace and reduce diagnostic data + collected by the service. + :paramtype hbi_workspace: bool + :keyword hub_resource_id: + :paramtype hub_resource_id: str + :keyword image_build_compute: The compute name for image build. + :paramtype image_build_compute: str + :keyword key_vault: ARM id of the key vault associated with this workspace. This cannot be + changed once the workspace has been created. + :paramtype key_vault: str + :keyword key_vaults: + :paramtype key_vaults: list[str] + :keyword managed_network: Anything. + :paramtype managed_network: any + :keyword primary_user_assigned_identity: The user assigned identity resource id that represents + the workspace identity. + :paramtype primary_user_assigned_identity: str + :keyword public_network_access: Whether requests from Public Network are allowed. Possible + values include: "Enabled", "Disabled". + :paramtype public_network_access: str or + ~azure.mgmt.machinelearningservices.models.PublicNetworkAccessType + :keyword service_managed_resources_settings: The service managed resource settings. + :paramtype service_managed_resources_settings: + ~azure.mgmt.machinelearningservices.models.ServiceManagedResourcesSettings + :keyword shared_private_link_resources: The list of shared private link resources in this + workspace. + :paramtype shared_private_link_resources: + list[~azure.mgmt.machinelearningservices.models.SharedPrivateLinkResource] + :keyword soft_delete_retention_in_days: Retention time in days after workspace get soft + deleted. + :paramtype soft_delete_retention_in_days: int + :keyword storage_account: ARM id of the storage account associated with this workspace. This + cannot be changed once the workspace has been created. + :paramtype storage_account: str + :keyword storage_accounts: + :paramtype storage_accounts: list[str] + :keyword system_datastores_auth_mode: The auth mode used for accessing the system datastores of + the workspace. + :paramtype system_datastores_auth_mode: str + :keyword v1_legacy_mode: Enabling v1_legacy_mode may prevent you from using features provided + by the v2 API. + :paramtype v1_legacy_mode: bool + :keyword workspace_hub_config: + :paramtype workspace_hub_config: ~azure.mgmt.machinelearningservices.models.WorkspaceHubConfig + """ + super(Workspace, self).__init__(**kwargs) + self.identity = kwargs.get('identity', None) + self.kind = kwargs.get('kind', None) + self.location = kwargs.get('location', None) + self.sku = kwargs.get('sku', None) + self.tags = kwargs.get('tags', None) + self.allow_public_access_when_behind_vnet = kwargs.get('allow_public_access_when_behind_vnet', None) + self.application_insights = kwargs.get('application_insights', None) + self.associated_workspaces = kwargs.get('associated_workspaces', None) + self.container_registries = kwargs.get('container_registries', None) + self.container_registry = kwargs.get('container_registry', None) + self.description = kwargs.get('description', None) + self.discovery_url = kwargs.get('discovery_url', None) + self.enable_data_isolation = kwargs.get('enable_data_isolation', None) + self.encryption = kwargs.get('encryption', None) + self.existing_workspaces = kwargs.get('existing_workspaces', None) + self.feature_store_settings = kwargs.get('feature_store_settings', None) + self.friendly_name = kwargs.get('friendly_name', None) + self.hbi_workspace = kwargs.get('hbi_workspace', None) + self.hub_resource_id = kwargs.get('hub_resource_id', None) + self.image_build_compute = kwargs.get('image_build_compute', None) + self.key_vault = kwargs.get('key_vault', None) + self.key_vaults = kwargs.get('key_vaults', None) + self.managed_network = kwargs.get('managed_network', None) + self.ml_flow_tracking_uri = None + self.notebook_info = None + self.primary_user_assigned_identity = kwargs.get('primary_user_assigned_identity', None) + self.private_endpoint_connections = None + self.private_link_count = None + self.provisioning_state = None + self.public_network_access = kwargs.get('public_network_access', None) + self.service_managed_resources_settings = kwargs.get('service_managed_resources_settings', None) + self.service_provisioned_resource_group = None + self.shared_private_link_resources = kwargs.get('shared_private_link_resources', None) + self.soft_delete_retention_in_days = kwargs.get('soft_delete_retention_in_days', None) + self.storage_account = kwargs.get('storage_account', None) + self.storage_accounts = kwargs.get('storage_accounts', None) + self.storage_hns_enabled = None + self.system_datastores_auth_mode = kwargs.get('system_datastores_auth_mode', None) + self.tenant_id = None + self.v1_legacy_mode = kwargs.get('v1_legacy_mode', None) + self.workspace_hub_config = kwargs.get('workspace_hub_config', None) + self.workspace_id = None + + +class WorkspaceHubConfig(msrest.serialization.Model): + """WorkspaceHubConfig. + + :ivar additional_workspace_storage_accounts: + :vartype additional_workspace_storage_accounts: list[str] + :ivar default_workspace_resource_group: + :vartype default_workspace_resource_group: str + """ + + _attribute_map = { + 'additional_workspace_storage_accounts': {'key': 'additionalWorkspaceStorageAccounts', 'type': '[str]'}, + 'default_workspace_resource_group': {'key': 'defaultWorkspaceResourceGroup', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + :keyword additional_workspace_storage_accounts: + :paramtype additional_workspace_storage_accounts: list[str] + :keyword default_workspace_resource_group: + :paramtype default_workspace_resource_group: str + """ + super(WorkspaceHubConfig, self).__init__(**kwargs) + self.additional_workspace_storage_accounts = kwargs.get('additional_workspace_storage_accounts', None) + self.default_workspace_resource_group = kwargs.get('default_workspace_resource_group', None) + + +class WorkspacePrivateEndpointResource(msrest.serialization.Model): + """WorkspacePrivateEndpointResource. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: e.g. + /subscriptions/{networkSubscriptionId}/resourceGroups/{rgName}/providers/Microsoft.Network/privateEndpoints/{privateEndpointName}. + :vartype id: str + :ivar subnet_arm_id: The subnetId that the private endpoint is connected to. + :vartype subnet_arm_id: str + """ + + _validation = { + 'id': {'readonly': True}, + 'subnet_arm_id': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'subnet_arm_id': {'key': 'subnetArmId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + """ + super(WorkspacePrivateEndpointResource, self).__init__(**kwargs) + self.id = None + self.subnet_arm_id = None diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_models_py3.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_models_py3.py new file mode 100644 index 00000000..3256c37f --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/models/_models_py3.py @@ -0,0 +1,1311 @@ +# 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. +# -------------------------------------------------------------------------- + +import datetime +from typing import Any, Dict, List, Optional, Union + +import msrest.serialization + +from ._azure_machine_learning_workspaces_enums import * + + +class ComputeRuntimeDto(msrest.serialization.Model): + """ComputeRuntimeDto. + + :ivar spark_runtime_version: + :vartype spark_runtime_version: str + """ + + _attribute_map = { + 'spark_runtime_version': {'key': 'sparkRuntimeVersion', 'type': 'str'}, + } + + def __init__( + self, + *, + spark_runtime_version: Optional[str] = None, + **kwargs + ): + """ + :keyword spark_runtime_version: + :paramtype spark_runtime_version: str + """ + super(ComputeRuntimeDto, self).__init__(**kwargs) + self.spark_runtime_version = spark_runtime_version + + +class CosmosDbSettings(msrest.serialization.Model): + """CosmosDbSettings. + + :ivar collections_throughput: + :vartype collections_throughput: int + """ + + _attribute_map = { + 'collections_throughput': {'key': 'collectionsThroughput', 'type': 'int'}, + } + + def __init__( + self, + *, + collections_throughput: Optional[int] = None, + **kwargs + ): + """ + :keyword collections_throughput: + :paramtype collections_throughput: int + """ + super(CosmosDbSettings, self).__init__(**kwargs) + self.collections_throughput = collections_throughput + + +class EncryptionProperty(msrest.serialization.Model): + """EncryptionProperty. + + All required parameters must be populated in order to send to Azure. + + :ivar cosmos_db_resource_id: The byok cosmosdb account that customer brings to store customer's + data + with encryption. + :vartype cosmos_db_resource_id: str + :ivar identity: Identity to be used with the keyVault. + :vartype identity: ~azure.mgmt.machinelearningservices.models.IdentityForCmk + :ivar key_vault_properties: Required. KeyVault details to do the encryption. + :vartype key_vault_properties: ~azure.mgmt.machinelearningservices.models.KeyVaultProperties + :ivar search_account_resource_id: The byok search account that customer brings to store + customer's data + with encryption. + :vartype search_account_resource_id: str + :ivar status: Required. Possible values include: "Enabled", "Disabled". + :vartype status: str or ~azure.mgmt.machinelearningservices.models.EncryptionStatus + :ivar storage_account_resource_id: The byok storage account that customer brings to store + customer's data + with encryption. + :vartype storage_account_resource_id: str + """ + + _validation = { + 'key_vault_properties': {'required': True}, + 'status': {'required': True}, + } + + _attribute_map = { + 'cosmos_db_resource_id': {'key': 'cosmosDbResourceId', 'type': 'str'}, + 'identity': {'key': 'identity', 'type': 'IdentityForCmk'}, + 'key_vault_properties': {'key': 'keyVaultProperties', 'type': 'KeyVaultProperties'}, + 'search_account_resource_id': {'key': 'searchAccountResourceId', 'type': 'str'}, + 'status': {'key': 'status', 'type': 'str'}, + 'storage_account_resource_id': {'key': 'storageAccountResourceId', 'type': 'str'}, + } + + def __init__( + self, + *, + key_vault_properties: "KeyVaultProperties", + status: Union[str, "EncryptionStatus"], + cosmos_db_resource_id: Optional[str] = None, + identity: Optional["IdentityForCmk"] = None, + search_account_resource_id: Optional[str] = None, + storage_account_resource_id: Optional[str] = None, + **kwargs + ): + """ + :keyword cosmos_db_resource_id: The byok cosmosdb account that customer brings to store + customer's data + with encryption. + :paramtype cosmos_db_resource_id: str + :keyword identity: Identity to be used with the keyVault. + :paramtype identity: ~azure.mgmt.machinelearningservices.models.IdentityForCmk + :keyword key_vault_properties: Required. KeyVault details to do the encryption. + :paramtype key_vault_properties: ~azure.mgmt.machinelearningservices.models.KeyVaultProperties + :keyword search_account_resource_id: The byok search account that customer brings to store + customer's data + with encryption. + :paramtype search_account_resource_id: str + :keyword status: Required. Possible values include: "Enabled", "Disabled". + :paramtype status: str or ~azure.mgmt.machinelearningservices.models.EncryptionStatus + :keyword storage_account_resource_id: The byok storage account that customer brings to store + customer's data + with encryption. + :paramtype storage_account_resource_id: str + """ + super(EncryptionProperty, self).__init__(**kwargs) + self.cosmos_db_resource_id = cosmos_db_resource_id + self.identity = identity + self.key_vault_properties = key_vault_properties + self.search_account_resource_id = search_account_resource_id + self.status = status + self.storage_account_resource_id = storage_account_resource_id + + +class FeatureStoreSettings(msrest.serialization.Model): + """FeatureStoreSettings. + + :ivar compute_runtime: + :vartype compute_runtime: ~azure.mgmt.machinelearningservices.models.ComputeRuntimeDto + :ivar offline_store_connection_name: + :vartype offline_store_connection_name: str + :ivar online_store_connection_name: + :vartype online_store_connection_name: str + """ + + _attribute_map = { + 'compute_runtime': {'key': 'computeRuntime', 'type': 'ComputeRuntimeDto'}, + 'offline_store_connection_name': {'key': 'offlineStoreConnectionName', 'type': 'str'}, + 'online_store_connection_name': {'key': 'onlineStoreConnectionName', 'type': 'str'}, + } + + def __init__( + self, + *, + compute_runtime: Optional["ComputeRuntimeDto"] = None, + offline_store_connection_name: Optional[str] = None, + online_store_connection_name: Optional[str] = None, + **kwargs + ): + """ + :keyword compute_runtime: + :paramtype compute_runtime: ~azure.mgmt.machinelearningservices.models.ComputeRuntimeDto + :keyword offline_store_connection_name: + :paramtype offline_store_connection_name: str + :keyword online_store_connection_name: + :paramtype online_store_connection_name: str + """ + super(FeatureStoreSettings, self).__init__(**kwargs) + self.compute_runtime = compute_runtime + self.offline_store_connection_name = offline_store_connection_name + self.online_store_connection_name = online_store_connection_name + + +class IdentityForCmk(msrest.serialization.Model): + """IdentityForCmk. + + :ivar user_assigned_identity: UserAssignedIdentity to be used to fetch the encryption key from + keyVault. + :vartype user_assigned_identity: str + """ + + _attribute_map = { + 'user_assigned_identity': {'key': 'userAssignedIdentity', 'type': 'str'}, + } + + def __init__( + self, + *, + user_assigned_identity: Optional[str] = None, + **kwargs + ): + """ + :keyword user_assigned_identity: UserAssignedIdentity to be used to fetch the encryption key + from keyVault. + :paramtype user_assigned_identity: str + """ + super(IdentityForCmk, self).__init__(**kwargs) + self.user_assigned_identity = user_assigned_identity + + +class KeyVaultProperties(msrest.serialization.Model): + """KeyVaultProperties. + + All required parameters must be populated in order to send to Azure. + + :ivar identity_client_id: Currently, we support only SystemAssigned MSI. + We need this when we support UserAssignedIdentities. + :vartype identity_client_id: str + :ivar key_identifier: Required. KeyVault key identifier to encrypt the data. + :vartype key_identifier: str + :ivar key_vault_arm_id: Required. KeyVault Arm Id that contains the data encryption key. + :vartype key_vault_arm_id: str + """ + + _validation = { + 'key_identifier': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'}, + 'key_vault_arm_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'}, + } + + _attribute_map = { + 'identity_client_id': {'key': 'identityClientId', 'type': 'str'}, + 'key_identifier': {'key': 'keyIdentifier', 'type': 'str'}, + 'key_vault_arm_id': {'key': 'keyVaultArmId', 'type': 'str'}, + } + + def __init__( + self, + *, + key_identifier: str, + key_vault_arm_id: str, + identity_client_id: Optional[str] = None, + **kwargs + ): + """ + :keyword identity_client_id: Currently, we support only SystemAssigned MSI. + We need this when we support UserAssignedIdentities. + :paramtype identity_client_id: str + :keyword key_identifier: Required. KeyVault key identifier to encrypt the data. + :paramtype key_identifier: str + :keyword key_vault_arm_id: Required. KeyVault Arm Id that contains the data encryption key. + :paramtype key_vault_arm_id: str + """ + super(KeyVaultProperties, self).__init__(**kwargs) + self.identity_client_id = identity_client_id + self.key_identifier = key_identifier + self.key_vault_arm_id = key_vault_arm_id + + +class ManagedServiceIdentity(msrest.serialization.Model): + """Managed service identity (system assigned and/or user assigned identities). + + Variables are only populated by the server, and will be ignored when sending a request. + + All required parameters must be populated in order to send to Azure. + + :ivar principal_id: The service principal ID of the system assigned identity. This property + will only be provided for a system assigned identity. + :vartype principal_id: str + :ivar tenant_id: The tenant ID of the system assigned identity. This property will only be + provided for a system assigned identity. + :vartype tenant_id: str + :ivar type: Required. Type of managed service identity (where both SystemAssigned and + UserAssigned types are allowed). Possible values include: "None", "SystemAssigned", + "UserAssigned", "SystemAssigned,UserAssigned". + :vartype type: str or ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentityType + :ivar user_assigned_identities: The set of user assigned identities associated with the + resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: + '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. + The dictionary values can be empty objects ({}) in requests. + :vartype user_assigned_identities: dict[str, + ~azure.mgmt.machinelearningservices.models.UserAssignedIdentity] + """ + + _validation = { + 'principal_id': {'readonly': True}, + 'tenant_id': {'readonly': True}, + 'type': {'required': True}, + } + + _attribute_map = { + 'principal_id': {'key': 'principalId', 'type': 'str'}, + 'tenant_id': {'key': 'tenantId', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'user_assigned_identities': {'key': 'userAssignedIdentities', 'type': '{UserAssignedIdentity}'}, + } + + def __init__( + self, + *, + type: Union[str, "ManagedServiceIdentityType"], + user_assigned_identities: Optional[Dict[str, "UserAssignedIdentity"]] = None, + **kwargs + ): + """ + :keyword type: Required. Type of managed service identity (where both SystemAssigned and + UserAssigned types are allowed). Possible values include: "None", "SystemAssigned", + "UserAssigned", "SystemAssigned,UserAssigned". + :paramtype type: str or ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentityType + :keyword user_assigned_identities: The set of user assigned identities associated with the + resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: + '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. + The dictionary values can be empty objects ({}) in requests. + :paramtype user_assigned_identities: dict[str, + ~azure.mgmt.machinelearningservices.models.UserAssignedIdentity] + """ + super(ManagedServiceIdentity, self).__init__(**kwargs) + self.principal_id = None + self.tenant_id = None + self.type = type + self.user_assigned_identities = user_assigned_identities + + +class NotebookPreparationError(msrest.serialization.Model): + """NotebookPreparationError. + + :ivar error_message: + :vartype error_message: str + :ivar status_code: + :vartype status_code: int + """ + + _attribute_map = { + 'error_message': {'key': 'errorMessage', 'type': 'str'}, + 'status_code': {'key': 'statusCode', 'type': 'int'}, + } + + def __init__( + self, + *, + error_message: Optional[str] = None, + status_code: Optional[int] = None, + **kwargs + ): + """ + :keyword error_message: + :paramtype error_message: str + :keyword status_code: + :paramtype status_code: int + """ + super(NotebookPreparationError, self).__init__(**kwargs) + self.error_message = error_message + self.status_code = status_code + + +class NotebookResourceInfo(msrest.serialization.Model): + """NotebookResourceInfo. + + :ivar fqdn: + :vartype fqdn: str + :ivar is_private_link_enabled: + :vartype is_private_link_enabled: bool + :ivar notebook_preparation_error: The error that occurs when preparing notebook. + :vartype notebook_preparation_error: + ~azure.mgmt.machinelearningservices.models.NotebookPreparationError + :ivar resource_id: the data plane resourceId that used to initialize notebook component. + :vartype resource_id: str + """ + + _attribute_map = { + 'fqdn': {'key': 'fqdn', 'type': 'str'}, + 'is_private_link_enabled': {'key': 'isPrivateLinkEnabled', 'type': 'bool'}, + 'notebook_preparation_error': {'key': 'notebookPreparationError', 'type': 'NotebookPreparationError'}, + 'resource_id': {'key': 'resourceId', 'type': 'str'}, + } + + def __init__( + self, + *, + fqdn: Optional[str] = None, + is_private_link_enabled: Optional[bool] = None, + notebook_preparation_error: Optional["NotebookPreparationError"] = None, + resource_id: Optional[str] = None, + **kwargs + ): + """ + :keyword fqdn: + :paramtype fqdn: str + :keyword is_private_link_enabled: + :paramtype is_private_link_enabled: bool + :keyword notebook_preparation_error: The error that occurs when preparing notebook. + :paramtype notebook_preparation_error: + ~azure.mgmt.machinelearningservices.models.NotebookPreparationError + :keyword resource_id: the data plane resourceId that used to initialize notebook component. + :paramtype resource_id: str + """ + super(NotebookResourceInfo, self).__init__(**kwargs) + self.fqdn = fqdn + self.is_private_link_enabled = is_private_link_enabled + self.notebook_preparation_error = notebook_preparation_error + self.resource_id = resource_id + + +class Resource(msrest.serialization.Model): + """Common fields that are returned in the response for all Azure Resource Manager resources. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: Fully qualified resource ID for the resource. Ex - + /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}. + :vartype id: str + :ivar name: The name of the resource. + :vartype name: str + :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or + "Microsoft.Storage/storageAccounts". + :vartype type: str + :ivar system_data: Azure Resource Manager metadata containing createdBy and modifiedBy + information. + :vartype system_data: ~azure.mgmt.machinelearningservices.models.SystemData + """ + + _validation = { + 'id': {'readonly': True}, + 'name': {'readonly': True}, + 'type': {'readonly': True}, + 'system_data': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'name': {'key': 'name', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'system_data': {'key': 'systemData', 'type': 'SystemData'}, + } + + def __init__( + self, + **kwargs + ): + """ + """ + super(Resource, self).__init__(**kwargs) + self.id = None + self.name = None + self.type = None + self.system_data = None + + +class PrivateEndpointConnection(Resource): + """PrivateEndpointConnection. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: Fully qualified resource ID for the resource. Ex - + /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}. + :vartype id: str + :ivar name: The name of the resource. + :vartype name: str + :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or + "Microsoft.Storage/storageAccounts". + :vartype type: str + :ivar system_data: Azure Resource Manager metadata containing createdBy and modifiedBy + information. + :vartype system_data: ~azure.mgmt.machinelearningservices.models.SystemData + :ivar identity: Managed service identity (system assigned and/or user assigned identities). + :vartype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :ivar location: Same as workspace location. + :vartype location: str + :ivar sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :vartype sku: ~azure.mgmt.machinelearningservices.models.Sku + :ivar tags: A set of tags. Dictionary of :code:`<string>`. + :vartype tags: dict[str, str] + :ivar private_endpoint: + :vartype private_endpoint: + ~azure.mgmt.machinelearningservices.models.WorkspacePrivateEndpointResource + :ivar private_link_service_connection_state: The connection state. + :vartype private_link_service_connection_state: + ~azure.mgmt.machinelearningservices.models.PrivateLinkServiceConnectionState + :ivar provisioning_state: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :vartype provisioning_state: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + + _validation = { + 'id': {'readonly': True}, + 'name': {'readonly': True}, + 'type': {'readonly': True}, + 'system_data': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'name': {'key': 'name', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'system_data': {'key': 'systemData', 'type': 'SystemData'}, + 'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'}, + 'location': {'key': 'location', 'type': 'str'}, + 'sku': {'key': 'sku', 'type': 'Sku'}, + 'tags': {'key': 'tags', 'type': '{str}'}, + 'private_endpoint': {'key': 'properties.privateEndpoint', 'type': 'WorkspacePrivateEndpointResource'}, + 'private_link_service_connection_state': {'key': 'properties.privateLinkServiceConnectionState', 'type': 'PrivateLinkServiceConnectionState'}, + 'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'}, + } + + def __init__( + self, + *, + identity: Optional["ManagedServiceIdentity"] = None, + location: Optional[str] = None, + sku: Optional["Sku"] = None, + tags: Optional[Dict[str, str]] = None, + private_endpoint: Optional["WorkspacePrivateEndpointResource"] = None, + private_link_service_connection_state: Optional["PrivateLinkServiceConnectionState"] = None, + provisioning_state: Optional[Union[str, "EndpointServiceConnectionStatus"]] = None, + **kwargs + ): + """ + :keyword identity: Managed service identity (system assigned and/or user assigned identities). + :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :keyword location: Same as workspace location. + :paramtype location: str + :keyword sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku + :keyword tags: A set of tags. Dictionary of :code:`<string>`. + :paramtype tags: dict[str, str] + :keyword private_endpoint: + :paramtype private_endpoint: + ~azure.mgmt.machinelearningservices.models.WorkspacePrivateEndpointResource + :keyword private_link_service_connection_state: The connection state. + :paramtype private_link_service_connection_state: + ~azure.mgmt.machinelearningservices.models.PrivateLinkServiceConnectionState + :keyword provisioning_state: Connection status of the service consumer with the service + provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :paramtype provisioning_state: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + super(PrivateEndpointConnection, self).__init__(**kwargs) + self.identity = identity + self.location = location + self.sku = sku + self.tags = tags + self.private_endpoint = private_endpoint + self.private_link_service_connection_state = private_link_service_connection_state + self.provisioning_state = provisioning_state + + +class PrivateLinkServiceConnectionState(msrest.serialization.Model): + """PrivateLinkServiceConnectionState. + + :ivar actions_required: Some RP chose "None". Other RPs use this for region expansion. + :vartype actions_required: str + :ivar description: User-defined message that, per NRP doc, may be used for approval-related + message. + :vartype description: str + :ivar status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :vartype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + + _attribute_map = { + 'actions_required': {'key': 'actionsRequired', 'type': 'str'}, + 'description': {'key': 'description', 'type': 'str'}, + 'status': {'key': 'status', 'type': 'str'}, + } + + def __init__( + self, + *, + actions_required: Optional[str] = None, + description: Optional[str] = None, + status: Optional[Union[str, "EndpointServiceConnectionStatus"]] = None, + **kwargs + ): + """ + :keyword actions_required: Some RP chose "None". Other RPs use this for region expansion. + :paramtype actions_required: str + :keyword description: User-defined message that, per NRP doc, may be used for approval-related + message. + :paramtype description: str + :keyword status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :paramtype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + super(PrivateLinkServiceConnectionState, self).__init__(**kwargs) + self.actions_required = actions_required + self.description = description + self.status = status + + +class ServiceManagedResourcesSettings(msrest.serialization.Model): + """ServiceManagedResourcesSettings. + + :ivar cosmos_db: + :vartype cosmos_db: ~azure.mgmt.machinelearningservices.models.CosmosDbSettings + """ + + _attribute_map = { + 'cosmos_db': {'key': 'cosmosDb', 'type': 'CosmosDbSettings'}, + } + + def __init__( + self, + *, + cosmos_db: Optional["CosmosDbSettings"] = None, + **kwargs + ): + """ + :keyword cosmos_db: + :paramtype cosmos_db: ~azure.mgmt.machinelearningservices.models.CosmosDbSettings + """ + super(ServiceManagedResourcesSettings, self).__init__(**kwargs) + self.cosmos_db = cosmos_db + + +class SharedPrivateLinkResource(msrest.serialization.Model): + """SharedPrivateLinkResource. + + :ivar name: Unique name of the private link. + :vartype name: str + :ivar group_id: group id of the private link. + :vartype group_id: str + :ivar private_link_resource_id: the resource id that private link links to. + :vartype private_link_resource_id: str + :ivar request_message: Request message. + :vartype request_message: str + :ivar status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :vartype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + + _attribute_map = { + 'name': {'key': 'name', 'type': 'str'}, + 'group_id': {'key': 'properties.groupId', 'type': 'str'}, + 'private_link_resource_id': {'key': 'properties.privateLinkResourceId', 'type': 'str'}, + 'request_message': {'key': 'properties.requestMessage', 'type': 'str'}, + 'status': {'key': 'properties.status', 'type': 'str'}, + } + + def __init__( + self, + *, + name: Optional[str] = None, + group_id: Optional[str] = None, + private_link_resource_id: Optional[str] = None, + request_message: Optional[str] = None, + status: Optional[Union[str, "EndpointServiceConnectionStatus"]] = None, + **kwargs + ): + """ + :keyword name: Unique name of the private link. + :paramtype name: str + :keyword group_id: group id of the private link. + :paramtype group_id: str + :keyword private_link_resource_id: the resource id that private link links to. + :paramtype private_link_resource_id: str + :keyword request_message: Request message. + :paramtype request_message: str + :keyword status: Connection status of the service consumer with the service provider + Possible state transitions + Pending -> Approved (Service provider approves the connection request) + Pending -> Rejected (Service provider rejects the connection request) + Pending -> Disconnected (Service provider deletes the connection) + Approved -> Rejected (Service provider rejects the approved connection) + Approved -> Disconnected (Service provider deletes the connection) + Rejected -> Pending (Service consumer re-initiates the connection request that was rejected) + Rejected -> Disconnected (Service provider deletes the connection). Possible values include: + "Approved", "Pending", "Rejected", "Disconnected", "Timeout". + :paramtype status: str or + ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus + """ + super(SharedPrivateLinkResource, self).__init__(**kwargs) + self.name = name + self.group_id = group_id + self.private_link_resource_id = private_link_resource_id + self.request_message = request_message + self.status = status + + +class Sku(msrest.serialization.Model): + """The resource model definition representing SKU. + + All required parameters must be populated in order to send to Azure. + + :ivar name: Required. The name of the SKU. Ex - P3. It is typically a letter+number code. + :vartype name: str + :ivar tier: This field is required to be implemented by the Resource Provider if the service + has more than one tier, but is not required on a PUT. Possible values include: "Free", "Basic", + "Standard", "Premium". + :vartype tier: str or ~azure.mgmt.machinelearningservices.models.SkuTier + :ivar size: The SKU size. When the name field is the combination of tier and some other value, + this would be the standalone code. + :vartype size: str + :ivar family: If the service has different generations of hardware, for the same SKU, then that + can be captured here. + :vartype family: str + :ivar capacity: If the SKU supports scale out/in then the capacity integer should be included. + If scale out/in is not possible for the resource this may be omitted. + :vartype capacity: int + """ + + _validation = { + 'name': {'required': True}, + } + + _attribute_map = { + 'name': {'key': 'name', 'type': 'str'}, + 'tier': {'key': 'tier', 'type': 'str'}, + 'size': {'key': 'size', 'type': 'str'}, + 'family': {'key': 'family', 'type': 'str'}, + 'capacity': {'key': 'capacity', 'type': 'int'}, + } + + def __init__( + self, + *, + name: str, + tier: Optional[Union[str, "SkuTier"]] = None, + size: Optional[str] = None, + family: Optional[str] = None, + capacity: Optional[int] = None, + **kwargs + ): + """ + :keyword name: Required. The name of the SKU. Ex - P3. It is typically a letter+number code. + :paramtype name: str + :keyword tier: This field is required to be implemented by the Resource Provider if the service + has more than one tier, but is not required on a PUT. Possible values include: "Free", "Basic", + "Standard", "Premium". + :paramtype tier: str or ~azure.mgmt.machinelearningservices.models.SkuTier + :keyword size: The SKU size. When the name field is the combination of tier and some other + value, this would be the standalone code. + :paramtype size: str + :keyword family: If the service has different generations of hardware, for the same SKU, then + that can be captured here. + :paramtype family: str + :keyword capacity: If the SKU supports scale out/in then the capacity integer should be + included. If scale out/in is not possible for the resource this may be omitted. + :paramtype capacity: int + """ + super(Sku, self).__init__(**kwargs) + self.name = name + self.tier = tier + self.size = size + self.family = family + self.capacity = capacity + + +class SystemData(msrest.serialization.Model): + """Metadata pertaining to creation and last modification of the resource. + + :ivar created_by: The identity that created the resource. + :vartype created_by: str + :ivar created_by_type: The type of identity that created the resource. Possible values include: + "User", "Application", "ManagedIdentity", "Key". + :vartype created_by_type: str or ~azure.mgmt.machinelearningservices.models.CreatedByType + :ivar created_at: The timestamp of resource creation (UTC). + :vartype created_at: ~datetime.datetime + :ivar last_modified_by: The identity that last modified the resource. + :vartype last_modified_by: str + :ivar last_modified_by_type: The type of identity that last modified the resource. Possible + values include: "User", "Application", "ManagedIdentity", "Key". + :vartype last_modified_by_type: str or ~azure.mgmt.machinelearningservices.models.CreatedByType + :ivar last_modified_at: The timestamp of resource last modification (UTC). + :vartype last_modified_at: ~datetime.datetime + """ + + _attribute_map = { + 'created_by': {'key': 'createdBy', 'type': 'str'}, + 'created_by_type': {'key': 'createdByType', 'type': 'str'}, + 'created_at': {'key': 'createdAt', 'type': 'iso-8601'}, + 'last_modified_by': {'key': 'lastModifiedBy', 'type': 'str'}, + 'last_modified_by_type': {'key': 'lastModifiedByType', 'type': 'str'}, + 'last_modified_at': {'key': 'lastModifiedAt', 'type': 'iso-8601'}, + } + + def __init__( + self, + *, + created_by: Optional[str] = None, + created_by_type: Optional[Union[str, "CreatedByType"]] = None, + created_at: Optional[datetime.datetime] = None, + last_modified_by: Optional[str] = None, + last_modified_by_type: Optional[Union[str, "CreatedByType"]] = None, + last_modified_at: Optional[datetime.datetime] = None, + **kwargs + ): + """ + :keyword created_by: The identity that created the resource. + :paramtype created_by: str + :keyword created_by_type: The type of identity that created the resource. Possible values + include: "User", "Application", "ManagedIdentity", "Key". + :paramtype created_by_type: str or ~azure.mgmt.machinelearningservices.models.CreatedByType + :keyword created_at: The timestamp of resource creation (UTC). + :paramtype created_at: ~datetime.datetime + :keyword last_modified_by: The identity that last modified the resource. + :paramtype last_modified_by: str + :keyword last_modified_by_type: The type of identity that last modified the resource. Possible + values include: "User", "Application", "ManagedIdentity", "Key". + :paramtype last_modified_by_type: str or + ~azure.mgmt.machinelearningservices.models.CreatedByType + :keyword last_modified_at: The timestamp of resource last modification (UTC). + :paramtype last_modified_at: ~datetime.datetime + """ + super(SystemData, self).__init__(**kwargs) + self.created_by = created_by + self.created_by_type = created_by_type + self.created_at = created_at + self.last_modified_by = last_modified_by + self.last_modified_by_type = last_modified_by_type + self.last_modified_at = last_modified_at + + +class UserAssignedIdentity(msrest.serialization.Model): + """User assigned identity properties. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar principal_id: The principal ID of the assigned identity. + :vartype principal_id: str + :ivar client_id: The client ID of the assigned identity. + :vartype client_id: str + """ + + _validation = { + 'principal_id': {'readonly': True}, + 'client_id': {'readonly': True}, + } + + _attribute_map = { + 'principal_id': {'key': 'principalId', 'type': 'str'}, + 'client_id': {'key': 'clientId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + """ + super(UserAssignedIdentity, self).__init__(**kwargs) + self.principal_id = None + self.client_id = None + + +class Workspace(Resource): + """Workspace. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: Fully qualified resource ID for the resource. Ex - + /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}. + :vartype id: str + :ivar name: The name of the resource. + :vartype name: str + :ivar type: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or + "Microsoft.Storage/storageAccounts". + :vartype type: str + :ivar system_data: Azure Resource Manager metadata containing createdBy and modifiedBy + information. + :vartype system_data: ~azure.mgmt.machinelearningservices.models.SystemData + :ivar identity: Managed service identity (system assigned and/or user assigned identities). + :vartype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :ivar kind: + :vartype kind: str + :ivar location: + :vartype location: str + :ivar sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :vartype sku: ~azure.mgmt.machinelearningservices.models.Sku + :ivar tags: A set of tags. Dictionary of :code:`<string>`. + :vartype tags: dict[str, str] + :ivar allow_public_access_when_behind_vnet: The flag to indicate whether to allow public access + when behind VNet. + :vartype allow_public_access_when_behind_vnet: bool + :ivar application_insights: ARM id of the application insights associated with this workspace. + :vartype application_insights: str + :ivar associated_workspaces: + :vartype associated_workspaces: list[str] + :ivar container_registries: + :vartype container_registries: list[str] + :ivar container_registry: ARM id of the container registry associated with this workspace. + :vartype container_registry: str + :ivar description: The description of this workspace. + :vartype description: str + :ivar discovery_url: Url for the discovery service to identify regional endpoints for machine + learning experimentation services. + :vartype discovery_url: str + :ivar enable_data_isolation: + :vartype enable_data_isolation: bool + :ivar encryption: + :vartype encryption: ~azure.mgmt.machinelearningservices.models.EncryptionProperty + :ivar existing_workspaces: + :vartype existing_workspaces: list[str] + :ivar feature_store_settings: Settings for feature store type workspace. + :vartype feature_store_settings: + ~azure.mgmt.machinelearningservices.models.FeatureStoreSettings + :ivar friendly_name: The friendly name for this workspace. This name in mutable. + :vartype friendly_name: str + :ivar hbi_workspace: The flag to signal HBI data in the workspace and reduce diagnostic data + collected by the service. + :vartype hbi_workspace: bool + :ivar hub_resource_id: + :vartype hub_resource_id: str + :ivar image_build_compute: The compute name for image build. + :vartype image_build_compute: str + :ivar key_vault: ARM id of the key vault associated with this workspace. This cannot be changed + once the workspace has been created. + :vartype key_vault: str + :ivar key_vaults: + :vartype key_vaults: list[str] + :ivar managed_network: Anything. + :vartype managed_network: any + :ivar ml_flow_tracking_uri: The URI associated with this workspace that machine learning flow + must point at to set up tracking. + :vartype ml_flow_tracking_uri: str + :ivar notebook_info: The notebook info of Azure ML workspace. + :vartype notebook_info: ~azure.mgmt.machinelearningservices.models.NotebookResourceInfo + :ivar primary_user_assigned_identity: The user assigned identity resource id that represents + the workspace identity. + :vartype primary_user_assigned_identity: str + :ivar private_endpoint_connections: The list of private endpoint connections in the workspace. + :vartype private_endpoint_connections: + list[~azure.mgmt.machinelearningservices.models.PrivateEndpointConnection] + :ivar private_link_count: Count of private connections in the workspace. + :vartype private_link_count: int + :ivar provisioning_state: The current deployment state of workspace resource. The + provisioningState is to indicate states for resource provisioning. Possible values include: + "Unknown", "Updating", "Creating", "Deleting", "Succeeded", "Failed", "Canceled". + :vartype provisioning_state: str or + ~azure.mgmt.machinelearningservices.models.ProvisioningState + :ivar public_network_access: Whether requests from Public Network are allowed. Possible values + include: "Enabled", "Disabled". + :vartype public_network_access: str or + ~azure.mgmt.machinelearningservices.models.PublicNetworkAccessType + :ivar service_managed_resources_settings: The service managed resource settings. + :vartype service_managed_resources_settings: + ~azure.mgmt.machinelearningservices.models.ServiceManagedResourcesSettings + :ivar service_provisioned_resource_group: The name of the managed resource group created by + workspace RP in customer subscription if the workspace is CMK workspace. + :vartype service_provisioned_resource_group: str + :ivar shared_private_link_resources: The list of shared private link resources in this + workspace. + :vartype shared_private_link_resources: + list[~azure.mgmt.machinelearningservices.models.SharedPrivateLinkResource] + :ivar soft_delete_retention_in_days: Retention time in days after workspace get soft deleted. + :vartype soft_delete_retention_in_days: int + :ivar storage_account: ARM id of the storage account associated with this workspace. This + cannot be changed once the workspace has been created. + :vartype storage_account: str + :ivar storage_accounts: + :vartype storage_accounts: list[str] + :ivar storage_hns_enabled: If the storage associated with the workspace has hierarchical + namespace(HNS) enabled. + :vartype storage_hns_enabled: bool + :ivar system_datastores_auth_mode: The auth mode used for accessing the system datastores of + the workspace. + :vartype system_datastores_auth_mode: str + :ivar tenant_id: The tenant id associated with this workspace. + :vartype tenant_id: str + :ivar v1_legacy_mode: Enabling v1_legacy_mode may prevent you from using features provided by + the v2 API. + :vartype v1_legacy_mode: bool + :ivar workspace_hub_config: + :vartype workspace_hub_config: ~azure.mgmt.machinelearningservices.models.WorkspaceHubConfig + :ivar workspace_id: The immutable id associated with this workspace. + :vartype workspace_id: str + """ + + _validation = { + 'id': {'readonly': True}, + 'name': {'readonly': True}, + 'type': {'readonly': True}, + 'system_data': {'readonly': True}, + 'ml_flow_tracking_uri': {'readonly': True}, + 'notebook_info': {'readonly': True}, + 'private_endpoint_connections': {'readonly': True}, + 'private_link_count': {'readonly': True}, + 'provisioning_state': {'readonly': True}, + 'service_provisioned_resource_group': {'readonly': True}, + 'storage_hns_enabled': {'readonly': True}, + 'tenant_id': {'readonly': True}, + 'workspace_id': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'name': {'key': 'name', 'type': 'str'}, + 'type': {'key': 'type', 'type': 'str'}, + 'system_data': {'key': 'systemData', 'type': 'SystemData'}, + 'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'}, + 'kind': {'key': 'kind', 'type': 'str'}, + 'location': {'key': 'location', 'type': 'str'}, + 'sku': {'key': 'sku', 'type': 'Sku'}, + 'tags': {'key': 'tags', 'type': '{str}'}, + 'allow_public_access_when_behind_vnet': {'key': 'properties.allowPublicAccessWhenBehindVnet', 'type': 'bool'}, + 'application_insights': {'key': 'properties.applicationInsights', 'type': 'str'}, + 'associated_workspaces': {'key': 'properties.associatedWorkspaces', 'type': '[str]'}, + 'container_registries': {'key': 'properties.containerRegistries', 'type': '[str]'}, + 'container_registry': {'key': 'properties.containerRegistry', 'type': 'str'}, + 'description': {'key': 'properties.description', 'type': 'str'}, + 'discovery_url': {'key': 'properties.discoveryUrl', 'type': 'str'}, + 'enable_data_isolation': {'key': 'properties.enableDataIsolation', 'type': 'bool'}, + 'encryption': {'key': 'properties.encryption', 'type': 'EncryptionProperty'}, + 'existing_workspaces': {'key': 'properties.existingWorkspaces', 'type': '[str]'}, + 'feature_store_settings': {'key': 'properties.featureStoreSettings', 'type': 'FeatureStoreSettings'}, + 'friendly_name': {'key': 'properties.friendlyName', 'type': 'str'}, + 'hbi_workspace': {'key': 'properties.hbiWorkspace', 'type': 'bool'}, + 'hub_resource_id': {'key': 'properties.hubResourceId', 'type': 'str'}, + 'image_build_compute': {'key': 'properties.imageBuildCompute', 'type': 'str'}, + 'key_vault': {'key': 'properties.keyVault', 'type': 'str'}, + 'key_vaults': {'key': 'properties.keyVaults', 'type': '[str]'}, + 'managed_network': {'key': 'properties.managedNetwork', 'type': 'object'}, + 'ml_flow_tracking_uri': {'key': 'properties.mlFlowTrackingUri', 'type': 'str'}, + 'notebook_info': {'key': 'properties.notebookInfo', 'type': 'NotebookResourceInfo'}, + 'primary_user_assigned_identity': {'key': 'properties.primaryUserAssignedIdentity', 'type': 'str'}, + 'private_endpoint_connections': {'key': 'properties.privateEndpointConnections', 'type': '[PrivateEndpointConnection]'}, + 'private_link_count': {'key': 'properties.privateLinkCount', 'type': 'int'}, + 'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'}, + 'public_network_access': {'key': 'properties.publicNetworkAccess', 'type': 'str'}, + 'service_managed_resources_settings': {'key': 'properties.serviceManagedResourcesSettings', 'type': 'ServiceManagedResourcesSettings'}, + 'service_provisioned_resource_group': {'key': 'properties.serviceProvisionedResourceGroup', 'type': 'str'}, + 'shared_private_link_resources': {'key': 'properties.sharedPrivateLinkResources', 'type': '[SharedPrivateLinkResource]'}, + 'soft_delete_retention_in_days': {'key': 'properties.softDeleteRetentionInDays', 'type': 'int'}, + 'storage_account': {'key': 'properties.storageAccount', 'type': 'str'}, + 'storage_accounts': {'key': 'properties.storageAccounts', 'type': '[str]'}, + 'storage_hns_enabled': {'key': 'properties.storageHnsEnabled', 'type': 'bool'}, + 'system_datastores_auth_mode': {'key': 'properties.systemDatastoresAuthMode', 'type': 'str'}, + 'tenant_id': {'key': 'properties.tenantId', 'type': 'str'}, + 'v1_legacy_mode': {'key': 'properties.v1LegacyMode', 'type': 'bool'}, + 'workspace_hub_config': {'key': 'properties.workspaceHubConfig', 'type': 'WorkspaceHubConfig'}, + 'workspace_id': {'key': 'properties.workspaceId', 'type': 'str'}, + } + + def __init__( + self, + *, + identity: Optional["ManagedServiceIdentity"] = None, + kind: Optional[str] = None, + location: Optional[str] = None, + sku: Optional["Sku"] = None, + tags: Optional[Dict[str, str]] = None, + allow_public_access_when_behind_vnet: Optional[bool] = None, + application_insights: Optional[str] = None, + associated_workspaces: Optional[List[str]] = None, + container_registries: Optional[List[str]] = None, + container_registry: Optional[str] = None, + description: Optional[str] = None, + discovery_url: Optional[str] = None, + enable_data_isolation: Optional[bool] = None, + encryption: Optional["EncryptionProperty"] = None, + existing_workspaces: Optional[List[str]] = None, + feature_store_settings: Optional["FeatureStoreSettings"] = None, + friendly_name: Optional[str] = None, + hbi_workspace: Optional[bool] = None, + hub_resource_id: Optional[str] = None, + image_build_compute: Optional[str] = None, + key_vault: Optional[str] = None, + key_vaults: Optional[List[str]] = None, + managed_network: Optional[Any] = None, + primary_user_assigned_identity: Optional[str] = None, + public_network_access: Optional[Union[str, "PublicNetworkAccessType"]] = None, + service_managed_resources_settings: Optional["ServiceManagedResourcesSettings"] = None, + shared_private_link_resources: Optional[List["SharedPrivateLinkResource"]] = None, + soft_delete_retention_in_days: Optional[int] = None, + storage_account: Optional[str] = None, + storage_accounts: Optional[List[str]] = None, + system_datastores_auth_mode: Optional[str] = None, + v1_legacy_mode: Optional[bool] = None, + workspace_hub_config: Optional["WorkspaceHubConfig"] = None, + **kwargs + ): + """ + :keyword identity: Managed service identity (system assigned and/or user assigned identities). + :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity + :keyword kind: + :paramtype kind: str + :keyword location: + :paramtype location: str + :keyword sku: Optional. This field is required to be implemented by the RP because AML is + supporting more than one tier. + :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku + :keyword tags: A set of tags. Dictionary of :code:`<string>`. + :paramtype tags: dict[str, str] + :keyword allow_public_access_when_behind_vnet: The flag to indicate whether to allow public + access when behind VNet. + :paramtype allow_public_access_when_behind_vnet: bool + :keyword application_insights: ARM id of the application insights associated with this + workspace. + :paramtype application_insights: str + :keyword associated_workspaces: + :paramtype associated_workspaces: list[str] + :keyword container_registries: + :paramtype container_registries: list[str] + :keyword container_registry: ARM id of the container registry associated with this workspace. + :paramtype container_registry: str + :keyword description: The description of this workspace. + :paramtype description: str + :keyword discovery_url: Url for the discovery service to identify regional endpoints for + machine learning experimentation services. + :paramtype discovery_url: str + :keyword enable_data_isolation: + :paramtype enable_data_isolation: bool + :keyword encryption: + :paramtype encryption: ~azure.mgmt.machinelearningservices.models.EncryptionProperty + :keyword existing_workspaces: + :paramtype existing_workspaces: list[str] + :keyword feature_store_settings: Settings for feature store type workspace. + :paramtype feature_store_settings: + ~azure.mgmt.machinelearningservices.models.FeatureStoreSettings + :keyword friendly_name: The friendly name for this workspace. This name in mutable. + :paramtype friendly_name: str + :keyword hbi_workspace: The flag to signal HBI data in the workspace and reduce diagnostic data + collected by the service. + :paramtype hbi_workspace: bool + :keyword hub_resource_id: + :paramtype hub_resource_id: str + :keyword image_build_compute: The compute name for image build. + :paramtype image_build_compute: str + :keyword key_vault: ARM id of the key vault associated with this workspace. This cannot be + changed once the workspace has been created. + :paramtype key_vault: str + :keyword key_vaults: + :paramtype key_vaults: list[str] + :keyword managed_network: Anything. + :paramtype managed_network: any + :keyword primary_user_assigned_identity: The user assigned identity resource id that represents + the workspace identity. + :paramtype primary_user_assigned_identity: str + :keyword public_network_access: Whether requests from Public Network are allowed. Possible + values include: "Enabled", "Disabled". + :paramtype public_network_access: str or + ~azure.mgmt.machinelearningservices.models.PublicNetworkAccessType + :keyword service_managed_resources_settings: The service managed resource settings. + :paramtype service_managed_resources_settings: + ~azure.mgmt.machinelearningservices.models.ServiceManagedResourcesSettings + :keyword shared_private_link_resources: The list of shared private link resources in this + workspace. + :paramtype shared_private_link_resources: + list[~azure.mgmt.machinelearningservices.models.SharedPrivateLinkResource] + :keyword soft_delete_retention_in_days: Retention time in days after workspace get soft + deleted. + :paramtype soft_delete_retention_in_days: int + :keyword storage_account: ARM id of the storage account associated with this workspace. This + cannot be changed once the workspace has been created. + :paramtype storage_account: str + :keyword storage_accounts: + :paramtype storage_accounts: list[str] + :keyword system_datastores_auth_mode: The auth mode used for accessing the system datastores of + the workspace. + :paramtype system_datastores_auth_mode: str + :keyword v1_legacy_mode: Enabling v1_legacy_mode may prevent you from using features provided + by the v2 API. + :paramtype v1_legacy_mode: bool + :keyword workspace_hub_config: + :paramtype workspace_hub_config: ~azure.mgmt.machinelearningservices.models.WorkspaceHubConfig + """ + super(Workspace, self).__init__(**kwargs) + self.identity = identity + self.kind = kind + self.location = location + self.sku = sku + self.tags = tags + self.allow_public_access_when_behind_vnet = allow_public_access_when_behind_vnet + self.application_insights = application_insights + self.associated_workspaces = associated_workspaces + self.container_registries = container_registries + self.container_registry = container_registry + self.description = description + self.discovery_url = discovery_url + self.enable_data_isolation = enable_data_isolation + self.encryption = encryption + self.existing_workspaces = existing_workspaces + self.feature_store_settings = feature_store_settings + self.friendly_name = friendly_name + self.hbi_workspace = hbi_workspace + self.hub_resource_id = hub_resource_id + self.image_build_compute = image_build_compute + self.key_vault = key_vault + self.key_vaults = key_vaults + self.managed_network = managed_network + self.ml_flow_tracking_uri = None + self.notebook_info = None + self.primary_user_assigned_identity = primary_user_assigned_identity + self.private_endpoint_connections = None + self.private_link_count = None + self.provisioning_state = None + self.public_network_access = public_network_access + self.service_managed_resources_settings = service_managed_resources_settings + self.service_provisioned_resource_group = None + self.shared_private_link_resources = shared_private_link_resources + self.soft_delete_retention_in_days = soft_delete_retention_in_days + self.storage_account = storage_account + self.storage_accounts = storage_accounts + self.storage_hns_enabled = None + self.system_datastores_auth_mode = system_datastores_auth_mode + self.tenant_id = None + self.v1_legacy_mode = v1_legacy_mode + self.workspace_hub_config = workspace_hub_config + self.workspace_id = None + + +class WorkspaceHubConfig(msrest.serialization.Model): + """WorkspaceHubConfig. + + :ivar additional_workspace_storage_accounts: + :vartype additional_workspace_storage_accounts: list[str] + :ivar default_workspace_resource_group: + :vartype default_workspace_resource_group: str + """ + + _attribute_map = { + 'additional_workspace_storage_accounts': {'key': 'additionalWorkspaceStorageAccounts', 'type': '[str]'}, + 'default_workspace_resource_group': {'key': 'defaultWorkspaceResourceGroup', 'type': 'str'}, + } + + def __init__( + self, + *, + additional_workspace_storage_accounts: Optional[List[str]] = None, + default_workspace_resource_group: Optional[str] = None, + **kwargs + ): + """ + :keyword additional_workspace_storage_accounts: + :paramtype additional_workspace_storage_accounts: list[str] + :keyword default_workspace_resource_group: + :paramtype default_workspace_resource_group: str + """ + super(WorkspaceHubConfig, self).__init__(**kwargs) + self.additional_workspace_storage_accounts = additional_workspace_storage_accounts + self.default_workspace_resource_group = default_workspace_resource_group + + +class WorkspacePrivateEndpointResource(msrest.serialization.Model): + """WorkspacePrivateEndpointResource. + + Variables are only populated by the server, and will be ignored when sending a request. + + :ivar id: e.g. + /subscriptions/{networkSubscriptionId}/resourceGroups/{rgName}/providers/Microsoft.Network/privateEndpoints/{privateEndpointName}. + :vartype id: str + :ivar subnet_arm_id: The subnetId that the private endpoint is connected to. + :vartype subnet_arm_id: str + """ + + _validation = { + 'id': {'readonly': True}, + 'subnet_arm_id': {'readonly': True}, + } + + _attribute_map = { + 'id': {'key': 'id', 'type': 'str'}, + 'subnet_arm_id': {'key': 'subnetArmId', 'type': 'str'}, + } + + def __init__( + self, + **kwargs + ): + """ + """ + super(WorkspacePrivateEndpointResource, self).__init__(**kwargs) + self.id = None + self.subnet_arm_id = None diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/operations/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/operations/__init__.py new file mode 100644 index 00000000..21534b1a --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/operations/__init__.py @@ -0,0 +1,13 @@ +# 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 ._workspaces_operations import WorkspacesOperations + +__all__ = [ + 'WorkspacesOperations', +] diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/operations/_workspaces_operations.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/operations/_workspaces_operations.py new file mode 100644 index 00000000..e1a7fd65 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/operations/_workspaces_operations.py @@ -0,0 +1,237 @@ +# pylint: disable=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 typing import TYPE_CHECKING + +from msrest import Serializer + +from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error +from azure.core.pipeline import PipelineResponse +from azure.core.pipeline.transport import HttpResponse +from azure.core.polling import LROPoller, NoPolling, PollingMethod +from azure.core.rest import HttpRequest +from azure.core.tracing.decorator import distributed_trace +from azure.mgmt.core.exceptions import ARMErrorFormat +from azure.mgmt.core.polling.arm_polling import ARMPolling + +from .. import models as _models +from .._vendor import _convert_request, _format_url_section + +if TYPE_CHECKING: + # pylint: disable=unused-import,ungrouped-imports + from typing import Any, Callable, Dict, Optional, TypeVar, Union + T = TypeVar('T') + ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] + +_SERIALIZER = Serializer() +_SERIALIZER.client_side_validation = False +# fmt: off + +def build_hub_join_request_initial( + subscription_id, # type: str + resource_group_name, # type: str + workspace_name, # type: str + project_workspace_name, # type: str + **kwargs # type: Any +): + # type: (...) -> HttpRequest + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + content_type = kwargs.pop('content_type', None) # type: Optional[str] + + accept = "application/json" + # Construct URL + _url = kwargs.pop("template_url", "/rp/workspaces/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/join/{projectWorkspaceName}") # pylint: disable=line-too-long + 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), + "workspaceName": _SERIALIZER.url("workspace_name", workspace_name, 'str', pattern=r'^[a-zA-Z0-9][a-zA-Z0-9_-]{2,32}$'), + "projectWorkspaceName": _SERIALIZER.url("project_workspace_name", project_workspace_name, 'str'), + } + + _url = _format_url_section(_url, **path_format_arguments) + + # Construct parameters + _query_parameters = kwargs.pop("params", {}) # type: Dict[str, Any] + _query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str') + + # Construct headers + _header_parameters = kwargs.pop("headers", {}) # type: Dict[str, Any] + if content_type is not None: + _header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str') + _header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str') + + return HttpRequest( + method="PUT", + url=_url, + params=_query_parameters, + headers=_header_parameters, + **kwargs + ) + +# fmt: on +class WorkspacesOperations(object): + """WorkspacesOperations operations. + + You should not instantiate this class directly. Instead, you should create a Client instance that + instantiates it for you and attaches it as an attribute. + + :ivar models: Alias to model classes used in this operation group. + :type models: ~azure.mgmt.machinelearningservices.models + :param client: Client for service requests. + :param config: Configuration of service client. + :param serializer: An object model serializer. + :param deserializer: An object model deserializer. + """ + + models = _models + + def __init__(self, client, config, serializer, deserializer): + self._client = client + self._serialize = serializer + self._deserialize = deserializer + self._config = config + + def _hub_join_initial( + self, + resource_group_name, # type: str + workspace_name, # type: str + project_workspace_name, # type: str + body, # type: "_models.Workspace" + **kwargs # type: Any + ): + # type: (...) -> Optional["_models.Workspace"] + cls = kwargs.pop('cls', None) # type: ClsType[Optional["_models.Workspace"]] + error_map = { + 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError + } + error_map.update(kwargs.pop('error_map', {})) + + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + content_type = kwargs.pop('content_type', "application/json") # type: Optional[str] + + _json = self._serialize.body(body, 'Workspace') + + request = build_hub_join_request_initial( + subscription_id=self._config.subscription_id, + resource_group_name=resource_group_name, + workspace_name=workspace_name, + project_workspace_name=project_workspace_name, + api_version=api_version, + content_type=content_type, + json=_json, + template_url=self._hub_join_initial.metadata['url'], + ) + request = _convert_request(request) + request.url = self._client.format_url(request.url) + + pipeline_response = self._client._pipeline.run( # pylint: disable=protected-access + request, + stream=False, + **kwargs + ) + response = pipeline_response.http_response + + if response.status_code not in [200, 202]: + map_error(status_code=response.status_code, response=response, error_map=error_map) + raise HttpResponseError(response=response, error_format=ARMErrorFormat) + + deserialized = None + response_headers = {} + if response.status_code == 200: + deserialized = self._deserialize('Workspace', pipeline_response) + + if response.status_code == 202: + response_headers['Location']=self._deserialize('str', response.headers.get('Location')) + response_headers['Retry-After']=self._deserialize('int', response.headers.get('Retry-After')) + + + if cls: + return cls(pipeline_response, deserialized, response_headers) + + return deserialized + + _hub_join_initial.metadata = {'url': "/rp/workspaces/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/join/{projectWorkspaceName}"} # type: ignore + + + @distributed_trace + def begin_hub_join( + self, + resource_group_name, # type: str + workspace_name, # type: str + project_workspace_name, # type: str + body, # type: "_models.Workspace" + **kwargs # type: Any + ): + # type: (...) -> LROPoller["_models.Workspace"] + """Create project workspace under workspaceHub's default resource group. + + Create project workspace under workspaceHub's default resource group. + + :param resource_group_name: The name of the resource group. The name is case insensitive. + :type resource_group_name: str + :param workspace_name: Azure Machine Learning Workspace Name. + :type workspace_name: str + :param project_workspace_name: Name of the project workspace. + :type project_workspace_name: str + :param body: + :type body: ~azure.mgmt.machinelearningservices.models.Workspace + :keyword callable cls: A custom type or function that will be passed the direct response + :keyword str continuation_token: A continuation token to restart a poller from a saved state. + :keyword polling: By default, your polling method will be ARMPolling. Pass in False for this + operation to not poll, or pass in your own initialized polling object for a personal polling + strategy. + :paramtype polling: bool or ~azure.core.polling.PollingMethod + :keyword int polling_interval: Default waiting time between two polls for LRO operations if no + Retry-After header is present. + :return: An instance of LROPoller that returns either Workspace or the result of cls(response) + :rtype: ~azure.core.polling.LROPoller[~azure.mgmt.machinelearningservices.models.Workspace] + :raises: ~azure.core.exceptions.HttpResponseError + """ + api_version = kwargs.pop('api_version', "2023-06-01-preview") # type: str + content_type = kwargs.pop('content_type', "application/json") # type: Optional[str] + polling = kwargs.pop('polling', True) # type: Union[bool, PollingMethod] + cls = kwargs.pop('cls', None) # type: ClsType["_models.Workspace"] + lro_delay = kwargs.pop( + 'polling_interval', + self._config.polling_interval + ) + cont_token = kwargs.pop('continuation_token', None) # type: Optional[str] + if cont_token is None: + raw_result = self._hub_join_initial( + resource_group_name=resource_group_name, + workspace_name=workspace_name, + project_workspace_name=project_workspace_name, + body=body, + api_version=api_version, + content_type=content_type, + cls=lambda x,y,z: x, + **kwargs + ) + kwargs.pop('error_map', None) + + def get_long_running_output(pipeline_response): + response = pipeline_response.http_response + deserialized = self._deserialize('Workspace', pipeline_response) + if cls: + return cls(pipeline_response, deserialized, {}) + return deserialized + + + if polling is True: polling_method = ARMPolling(lro_delay, lro_options={'final-state-via': 'location'}, **kwargs) + elif polling is False: polling_method = NoPolling() + else: polling_method = polling + if cont_token: + return LROPoller.from_continuation_token( + polling_method=polling_method, + continuation_token=cont_token, + client=self._client, + deserialization_callback=get_long_running_output + ) + return LROPoller(self._client, raw_result, get_long_running_output, polling_method) + + begin_hub_join.metadata = {'url': "/rp/workspaces/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/join/{projectWorkspaceName}"} # type: ignore diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/py.typed b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/py.typed new file mode 100644 index 00000000..e5aff4f8 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/workspace_dataplane/py.typed @@ -0,0 +1 @@ +# Marker file for PEP 561.
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