content: #  Copyright (c) ZenML GmbH 2025. 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.
  """Entrypoint configuration to run a dynamic pipeline."""
  
  from typing import Any, Dict, List
  from uuid import UUID
  
  from zenml.client import Client
  from zenml.entrypoints.base_entrypoint_configuration import (
      BaseEntrypointConfiguration,
  )
  from zenml.execution.pipeline.dynamic.runner import DynamicPipelineRunner
  from zenml.integrations.registry import integration_registry
  
  RUN_ID_OPTION = "run_id"
  
  
  class DynamicPipelineEntrypointConfiguration(BaseEntrypointConfiguration):
      """Entrypoint configuration to run a dynamic pipeline."""
  
      @classmethod
      def get_entrypoint_options(cls) -> Dict[str, bool]:
          """Gets all options required for running with this configuration.
  
          Returns:
              All options required for running with this configuration.
          """
          return super().get_entrypoint_options() | {RUN_ID_OPTION: False}
  
      @classmethod
      def get_entrypoint_arguments(
          cls,
          **kwargs: Any,
      ) -> List[str]:
          """Gets all arguments that the entrypoint command should be called with.
  
          Args:
              **kwargs: Keyword arguments.
  
          Returns:
              All arguments that the entrypoint command should be called with.
          """
          args = super().get_entrypoint_arguments(**kwargs)
          if run_id := kwargs.get(RUN_ID_OPTION, None):
              args.extend([f"--{RUN_ID_OPTION}", str(run_id)])
          return args
  
      def run(self) -> None:
          """Prepares the environment and runs the configured dynamic pipeline."""
          snapshot = self.snapshot
  
          # Activate all the integrations. This makes sure that all materializers
          # and stack component flavors are registered.
          integration_registry.activate_integrations()
  
          self.download_code_if_necessary()
  
          run = None
          if run_id := self.entrypoint_args.get(RUN_ID_OPTION, None):
              run = Client().get_pipeline_run(UUID(run_id))
  
          runner = DynamicPipelineRunner(snapshot=snapshot, run=run)
          runner.run_pipeline()
  