class_docstr: Flavor backend implementation for the generic python models.
code: def build_image(
      self,
      model_uri,
      image_name,
      install_mlflow=False,
      mlflow_home=None,
      enable_mlserver=False,
  ):
      copy_model_into_container = (
          self.copy_model_into_container_wrapper(
              model_uri, install_mlflow, enable_mlserver
          )
      )
      pyfunc_entrypoint = _pyfunc_entrypoint(
          self._env_manager, model_uri, install_mlflow, enable_mlserver
      )
      _build_image(
          image_name=image_name,
          mlflow_home=mlflow_home,
          env_manager=self._env_manager,
          custom_setup_steps_hook=copy_model_into_container,
          entrypoint=pyfunc_entrypoint,
      )
  
imports: import ctypes
  import logging
  import os
  import pathlib
  import posixpath
  import shlex
  import signal
  import subprocess
  import sys
  import warnings
  from pathlib import Path
  from mlflow.environment_variables import MLFLOW_DISABLE_ENV_CREATION
  from mlflow.exceptions import MlflowException
  from mlflow.models import FlavorBackend
  from mlflow.models.container import ENABLE_MLSERVER
  from mlflow.models.docker_utils import SETUP_MINICONDA, SETUP_PYENV_AND_VIRTUALENV, _build_image, _generate_dockerfile_content, _get_mlflow_install_step
  from mlflow.pyfunc import ENV, _extract_conda_env, _mlflow_pyfunc_backend_predict, mlserver, scoring_server
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils import env_manager
  from mlflow.utils.conda import get_conda_bin_executable, get_or_create_conda_env
  from mlflow.utils.environment import Environment
  from mlflow.utils.file_utils import get_or_create_nfs_tmp_dir, get_or_create_tmp_dir, path_to_local_file_uri
  from mlflow.utils.nfs_on_spark import get_nfs_cache_root_dir
  from mlflow.utils.process import ShellCommandException, cache_return_value_per_process
  from mlflow.utils.virtualenv import _get_or_create_virtualenv, _get_pip_install_mlflow
  from mlflow.version import VERSION
label_desc: Use image node_id 8 for calling the PyFuncBackend obj's underlying member method code with example usage: obj.build_image(model_uri, image_name, install_mlflow, mlflow_home, enable_mlserver) without return types