def install()

in src/responsibleai/rai_analyse/rai_component_utilities.py [0:0]

• 45 lines of code
• 7 McCabe index (conditional complexity)

    def install(self):
        try:
            if self.use_separate_conda_env:
                # generate some random characters to add to model path
                random_chars = str(uuid.uuid4())[:8]
                tmp_model_path = "./mlflow_model" + random_chars
                model_path = self.model_path
                if (not model_path and self.model_id):
                    model_path = Model.get_model_path(model_name=self.model.name,
                                                      version=self.model.version)
                shutil.copytree(model_path, tmp_model_path)
                model_uri = tmp_model_path

                _logger.info("MODEL URI: {}".format(
                    model_uri
                ))

                for root, _, files in os.walk(model_uri):
                    for f in files:
                        full_path = os.path.join(root, f)
                        _logger.info("FILE: {}".format(
                            full_path
                        ))

                conda_install_command = ["mlflow", "models", "prepare-env",
                                         "-m", model_uri,
                                         "--env-manager", "conda"]
            else:
                # mlflow model input mount as read only. Conda need write access.
                local_conda_dep = "./conda_dep.yaml"
                shutil.copyfile(self.conda_file, local_conda_dep)
                conda_prefix = str(pathlib.Path(sys.executable).parents[1])
                conda_install_command = ["conda", "env", "update",
                                         "--prefix", conda_prefix,
                                         "-f", local_conda_dep]

            install_log = subprocess.check_output(conda_install_command)
            _logger.info(
                "Conda dependency installation successful, logs: {}".format(
                    install_log
                )
            )
        except subprocess.CalledProcessError as e:
            _logger.error(
                "Installing dependency using conda.yaml from mlflow model failed: {}".format(
                    e.output
                )
            )
            _classify_and_log_pip_install_error(e.output)
            raise e
        return