name: Automl deploy model description: |- Deploys a trained model. Args: model_path: The resource name of the model to export. Format: 'projects//locations//models/' Annotations: author: Alexey Volkov inputs: - {name: model_path, type: String} outputs: - {name: model_path, type: String} implementation: container: image: python:3.8 command: - sh - -c - (PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet --no-warn-script-location 'google-cloud-automl==2.0.0' || PIP_DISABLE_PIP_VERSION_CHECK=1 python3 -m pip install --quiet --no-warn-script-location 'google-cloud-automl==2.0.0' --user) && "$0" "$@" - python3 - -u - -c - | def automl_deploy_model( model_path, ): """Deploys a trained model. Args: model_path: The resource name of the model to export. Format: 'projects//locations//models/' Annotations: author: Alexey Volkov """ from google.cloud import automl client = automl.AutoMlClient() response = client.deploy_model( name=model_path, ) print('Operation started:') print(response.operation) result = response.result() metadata = response.metadata print('Operation finished:') print(metadata) return (model_path, ) def _serialize_str(str_value: str) -> str: if not isinstance(str_value, str): raise TypeError('Value "{}" has type "{}" instead of str.'.format(str(str_value), str(type(str_value)))) return str_value import argparse _parser = argparse.ArgumentParser(prog='Automl deploy model', description="Deploys a trained model.\n\n Args:\n model_path: The resource name of the model to export. Format: 'projects//locations//models/'\n\n Annotations:\n author: Alexey Volkov ") _parser.add_argument("--model-path", dest="model_path", type=str, required=True, default=argparse.SUPPRESS) _parser.add_argument("----output-paths", dest="_output_paths", type=str, nargs=1) _parsed_args = vars(_parser.parse_args()) _output_files = _parsed_args.pop("_output_paths", []) _outputs = automl_deploy_model(**_parsed_args) _output_serializers = [ _serialize_str, ] import os for idx, output_file in enumerate(_output_files): try: os.makedirs(os.path.dirname(output_file)) except OSError: pass with open(output_file, 'w') as f: f.write(_output_serializers[idx](_outputs[idx])) args: - --model-path - {inputValue: model_path} - '----output-paths' - {outputPath: model_path}