content: #  Copyright (c) ZenML GmbH 2024. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
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  """Implementation of the AzureML Orchestrator flavor."""
  
  from typing import TYPE_CHECKING, Optional, Type
  
  from pydantic import Field
  
  from zenml.integrations.azure import (
      AZURE_RESOURCE_TYPE,
      AZUREML_ORCHESTRATOR_FLAVOR,
  )
  from zenml.integrations.azure.flavors.azureml import AzureMLComputeSettings
  from zenml.logger import get_logger
  from zenml.models import ServiceConnectorRequirements
  from zenml.orchestrators.base_orchestrator import (
      BaseOrchestratorConfig,
      BaseOrchestratorFlavor,
  )
  
  if TYPE_CHECKING:
      from zenml.integrations.azure.orchestrators import AzureMLOrchestrator
  
  logger = get_logger(__name__)
  
  
  class AzureMLOrchestratorSettings(AzureMLComputeSettings):
      """Settings for the AzureML orchestrator."""
  
      synchronous: bool = Field(
          default=True,
          description="Whether the orchestrator runs synchronously or not.",
      )
  
  
  class AzureMLOrchestratorConfig(
      BaseOrchestratorConfig, AzureMLOrchestratorSettings
  ):
      """Configuration for the AzureML orchestrator."""
  
      subscription_id: str = Field(
          description="Subscription ID that AzureML is running on."
      )
      resource_group: str = Field(
          description="Name of the resource group that AzureML is running on.",
      )
      workspace: str = Field(
          description="Name of the workspace that AzureML is running on."
      )
  
      @property
      def is_remote(self) -> bool:
          """Checks if this stack component is running remotely.
  
          This designation is used to determine if the stack component can be
          used with a local ZenML database or if it requires a remote ZenML
          server.
  
          Returns:
              True if this config is for a remote component, False otherwise.
          """
          return True
  
      @property
      def is_synchronous(self) -> bool:
          """Whether the orchestrator runs synchronously or not.
  
          Returns:
              Whether the orchestrator runs synchronously or not.
          """
          return self.synchronous
  
      @property
      def is_schedulable(self) -> bool:
          """Whether the orchestrator is schedulable or not.
  
          Returns:
              Whether the orchestrator is schedulable or not.
          """
          return True
  
  
  class AzureMLOrchestratorFlavor(BaseOrchestratorFlavor):
      """Flavor for the AzureML orchestrator."""
  
      @property
      def name(self) -> str:
          """Name of the flavor.
  
          Returns:
              The name of the flavor.
          """
          return AZUREML_ORCHESTRATOR_FLAVOR
  
      @property
      def display_name(self) -> str:
          """Display name of the flavor.
  
          Returns:
              The display name of the flavor.
          """
          return "AzureML"
  
      @property
      def service_connector_requirements(
          self,
      ) -> Optional[ServiceConnectorRequirements]:
          """Service connector resource requirements for service connectors.
  
          Specifies resource requirements that are used to filter the available
          service connector types that are compatible with this flavor.
  
          Returns:
              Requirements for compatible service connectors, if a service
              connector is required for this flavor.
          """
          return ServiceConnectorRequirements(resource_type=AZURE_RESOURCE_TYPE)
  
      @property
      def docs_url(self) -> Optional[str]:
          """A URL to point at docs explaining this flavor.
  
          Returns:
              A flavor docs url.
          """
          return self.generate_default_docs_url()
  
      @property
      def sdk_docs_url(self) -> Optional[str]:
          """A URL to point at SDK docs explaining this flavor.
  
          Returns:
              A flavor SDK docs url.
          """
          return self.generate_default_sdk_docs_url()
  
      @property
      def logo_url(self) -> str:
          """A URL to represent the flavor in the dashboard.
  
          Returns:
              The flavor logo.
          """
          return "https://public-flavor-logos.s3.eu-central-1.amazonaws.com/orchestrator/azureml.png"
  
      @property
      def config_class(self) -> Type[AzureMLOrchestratorConfig]:
          """Returns AzureMLOrchestratorConfig config class.
  
          Returns:
              The config class.
          """
          return AzureMLOrchestratorConfig
  
      @property
      def implementation_class(self) -> Type["AzureMLOrchestrator"]:
          """Implementation class.
  
          Returns:
              The implementation class.
          """
          from zenml.integrations.azure.orchestrators import AzureMLOrchestrator
  
          return AzureMLOrchestrator
  