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How to use on_not_implemented_error method in localstack

Best Python code snippet using localstack_python

serialization.py

Source:serialization.py

1import json2import warnings3try:4    import yaml5    yaml_available = True6except ImportError:7    yaml_available = False8from albumentations import __version__9__all__ = ['to_dict', 'from_dict', 'save', 'load']10SERIALIZABLE_REGISTRY = {}11class SerializableMeta(type):12    """13    A metaclass that is used to register classes in `SERIALIZABLE_REGISTRY` so they can be found later14    while deserializing transformation pipeline using classes full names.15    """16    def __new__(meta, name, bases, class_dict):17        cls = type.__new__(meta, name, bases, class_dict)18        SERIALIZABLE_REGISTRY[cls.get_class_fullname()] = cls19        return cls20def to_dict(transform, on_not_implemented_error='raise'):21    """22    Take a transform pipeline and convert it to a serializable representation that uses only standard23    python data types: dictionaries, lists, strings, integers, and floats.24    Args:25        transform (object): A transform that should be serialized. If the transform doesn't implement the `to_dict`26            method and `on_not_implemented_error` equals to 'raise' then `NotImplementedError` is raised.27            If `on_not_implemented_error` equals to 'warn' then `NotImplementedError` will be ignored28            but no transform parameters will be serialized.29    """30    if on_not_implemented_error not in {'raise', 'warn'}:31        raise ValueError(32            "Unknown on_not_implemented_error value: {}. Supported values are: 'raise' and 'warn'".format(33                on_not_implemented_error34            )35        )36    try:37        transform_dict = transform.to_dict()38    except NotImplementedError as e:39        if on_not_implemented_error == 'raise':40            raise e41        else:42            transform_dict = {}43            warnings.warn(44                "Got NotImplementedError while trying to serialize {obj}. Object arguments are not preserved. "45                "Implement either '{cls_name}.get_transform_init_args_names' or '{cls_name}.get_transform_init_args' "46                "method to make the transform serializable".format(47                    obj=transform,48                    cls_name=transform.__class__.__name__,49                )50            )51    return {52        '__version__': __version__,53        'transform': transform_dict,54    }55def from_dict(transform_dict):56    """57    Args:58        transform (dict): A dictionary with serialized transform pipeline.59    """60    transform = transform_dict['transform']61    name = transform['__class_fullname__']62    args = {k: v for k, v in transform.items() if k != '__class_fullname__'}63    cls = SERIALIZABLE_REGISTRY[name]64    if 'transforms' in args:65        args['transforms'] = [from_dict({'transform': t}) for t in args['transforms']]66    return cls(**args)67def check_data_format(data_format):68    if data_format not in {'json', 'yaml'}:69        raise ValueError(70            "Unknown data_format {}. Supported formats are: 'json' and 'yaml'".format(data_format)71        )72def save(transform, filepath, data_format='json', on_not_implemented_error='raise'):73    """74    Take a transform pipeline, serialize it and save a serialized version to a file75    using either json or yaml format.76    Args:77        transform (obj): Transform to serialize.78        filepath (str): Filepath to write to.79        data_format (str): Serialization format. Should be either `json` or 'yaml'.80        on_not_implemented_error (str): Parameter that describes what to do if a transform doesn't implement81            the `to_dict` method. If 'raise' then `NotImplementedError` is raised, if `warn` then the exception will be82            ignored and no transform arguments will be saved.83    """84    check_data_format(data_format)85    transform_dict = to_dict(transform, on_not_implemented_error=on_not_implemented_error)86    dump_fn = json.dump if data_format == 'json' else yaml.safe_dump87    with open(filepath, 'w') as f:88        dump_fn(transform_dict, f)89def load(filepath, data_format='json'):90    """91    Load a serialized pipeline from a json or yaml file and construct a transform pipeline.92    Args:93        transform (obj): Transform to serialize.94        filepath (str): Filepath to read from.95        data_format (str): Serialization format. Should be either `json` or 'yaml'.96    """97    check_data_format(data_format)98    load_fn = json.load if data_format == 'json' else yaml.safe_load99    with open(filepath) as f:100        transform_dict = load_fn(f)...

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