content: #  Copyright (c) ZenML GmbH 2022. 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,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  """MLflow model deployer flavor."""
  
  from typing import TYPE_CHECKING, Optional, Type
  
  from pydantic import Field
  
  from zenml.integrations.mlflow import MLFLOW_MODEL_DEPLOYER_FLAVOR
  from zenml.model_deployers.base_model_deployer import (
      BaseModelDeployerConfig,
      BaseModelDeployerFlavor,
  )
  
  if TYPE_CHECKING:
      from zenml.integrations.mlflow.model_deployers import MLFlowModelDeployer
  
  
  class MLFlowModelDeployerConfig(BaseModelDeployerConfig):
      """Configuration for the MLflow model deployer.
  
      Configuration for local MLflow model serving.
      Field descriptions are defined inline using Field() descriptors.
      """
  
      service_path: str = Field(
          default="",
          description="Local directory for MLflow deployment service files "
          "(configuration, PID, and logs). Uses temp directory if empty.",
      )
  
      @property
      def is_local(self) -> bool:
          """Checks if this stack component is running locally.
  
          Returns:
              True if this config is for a local component, False otherwise.
          """
          return True
  
  
  class MLFlowModelDeployerFlavor(BaseModelDeployerFlavor):
      """Model deployer flavor for MLflow models."""
  
      @property
      def name(self) -> str:
          """Name of the flavor.
  
          Returns:
              The name of the flavor.
          """
          return MLFLOW_MODEL_DEPLOYER_FLAVOR
  
      @property
      def display_name(self) -> str:
          """Display name of the flavor.
  
          Returns:
              The display name of the flavor.
          """
          return "MLflow"
  
      @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/model_deployer/mlflow.png"
  
      @property
      def config_class(self) -> Type[MLFlowModelDeployerConfig]:
          """Returns `MLFlowModelDeployerConfig` config class.
  
          Returns:
                  The config class.
          """
          return MLFlowModelDeployerConfig
  
      @property
      def implementation_class(self) -> Type["MLFlowModelDeployer"]:
          """Implementation class for this flavor.
  
          Returns:
              The implementation class.
          """
          from zenml.integrations.mlflow.model_deployers import (
              MLFlowModelDeployer,
          )
  
          return MLFlowModelDeployer
  