Function _info_from_string

tensorboard/manager.py:130–170

Parse a `TensorBoardInfo` object from its string representation. Args: info_string: A string representation of a `TensorBoardInfo`, as produced by a previous call to `_info_to_string`. Returns: A `TensorBoardInfo` value. Raises: ValueError: If the provided st

(info_string)

def _info_from_string(info_string):
    """Parse a `TensorBoardInfo` object from its string representation.

    Args:
      info_string: A string representation of a `TensorBoardInfo`, as
        produced by a previous call to `_info_to_string`.

    Returns:
      A `TensorBoardInfo` value.

    Raises:
      ValueError: If the provided string is not valid JSON, or if it is
        missing any required fields, or if any field is of incorrect type.
    """
    field_name_to_type = typing.get_type_hints(TensorBoardInfo)
    try:
        json_value = json.loads(info_string)
    except ValueError:
        raise ValueError("invalid JSON: %r" % (info_string,))
    if not isinstance(json_value, dict):
        raise ValueError("not a JSON object: %r" % (json_value,))
    expected_keys = frozenset(field_name_to_type.keys())
    actual_keys = frozenset(json_value)
    missing_keys = expected_keys - actual_keys
    if missing_keys:
        raise ValueError(
            "TensorBoardInfo missing keys: %r" % (sorted(missing_keys),)
        )
    # For forward compatibility, silently ignore unknown keys.

    # Validate and deserialize fields.
    fields = {}
    for key, field_type in field_name_to_type.items():
        if not isinstance(json_value[key], field_type):
            raise ValueError(
                "expected %r of type %s, but found: %r"
                % (key, field_type, json_value[key])
            )
        fields[key] = json_value[key]

    return TensorBoardInfo(**fields)


def cache_key(working_directory, arguments, configure_kwargs):