Table Of Contents
Table Of Contents

Source code for gluonts.shell.sagemaker.params

# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" file accompanying this file. This file is distributed
# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
# express or implied. See the License for the specific language governing
# permissions and limitations under the License.


# Standard library imports
import json
from typing import Union, Any

# First-party imports
from gluonts.core.serde import load_json
from gluonts.support.util import map_dct_values


[docs]def decode_sagemaker_parameter(value: str) -> Union[list, dict, str]: """ All values passed through the SageMaker API are encoded as strings. Thus we pro-actively decode values that seem like arrays or dicts. Integer values (e.g. `"1"`) are handled by pydantic models further down the pipeline. """ value = value.strip() # TODO: is this the right way to do things? # what about fields which start which match the pattern for # some reason? is_list = value.startswith("[") and value.endswith("]") is_dict = value.startswith("{") and value.endswith("}") if is_list or is_dict: return load_json(value) else: return value
[docs]def encode_sagemaker_parameter(value: Any) -> str: """ All values passed through the SageMaker API must be encoded as strings. """ if not isinstance(value, str): return json.dumps(value) else: return value
[docs]def decode_sagemaker_parameters(encoded_params: dict) -> dict: """Decode a SageMaker parameters dictionary where all values are strings. Example: >>> decode_sagemaker_parameters({ ... "foo": "[1, 2, 3]", ... "bar": "hello" ... }) {'foo': [1, 2, 3], 'bar': 'hello'} """ return map_dct_values(decode_sagemaker_parameter, encoded_params)
[docs]def encode_sagemaker_parameters(decoded_params: dict) -> dict: """Encode a SageMaker parameters dictionary where all values are strings. Example: >>> encode_sagemaker_parameters({ ... "foo": [1, 2, 3], ... "bar": "hello" ... }) {'foo': '[1, 2, 3]', 'bar': 'hello'} """ return map_dct_values(encode_sagemaker_parameter, decoded_params)