text: # Copyright 2018-2019 QuantumBlack Visual Analytics Limited
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
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  #
  # http://www.apache.org/licenses/LICENSE-2.0
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
  # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
  # OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND
  # NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS
  # BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN
  # ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN
  # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  #
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  # license to the QuantumBlack Trademarks. You may not use the QuantumBlack
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  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  """``JSONLocalDataSet`` encodes a given object to json and saves it to a local
  file.
  """
  import json
  from pathlib import Path
  from typing import Any, Dict
  
  import pandas as pd
  
  from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version
  
  
  class JSONLocalDataSet(AbstractDataSet, FilepathVersionMixIn):
      """``JSONLocalDataSet`` encodes data as json and saves it to a local file
      or reads in and decodes an existing json file. The encoding/decoding
      functionality is provided by Python's ``json`` library.
  
      Example:
      ::
  
          >>> from kedro.io import JSONLocalDataSet
          >>> my_dict = {
          >>>     'a_string': 'Hello, World!',
          >>>     'a_list': [1, 2, 3]
          >>> }
          >>> data_set = JSONLocalDataSet(filepath="test.json")
          >>> data_set.save(my_dict)
          >>> reloaded = data_set.load()
          >>> assert my_dict == reloaded
  
      """
  
      def _describe(self) -> Dict[str, Any]:
          return dict(
              filepath=self._filepath,
              load_args=self._load_args,
              save_args=self._save_args,
              version=self._version,
          )
  
      def __init__(
          self,
          filepath: str,
          load_args: Dict[str, Any] = None,
          save_args: Dict[str, Any] = None,
          version: Version = None,
      ) -> None:
          """Creates a new instance of ``JSONLocalDataSet`` pointing to a concrete
          filepath.
  
          Args:
              filepath: path to a local json file.
              load_args: Arguments passed on to ```json.load``.
                  See https://docs.python.org/3/library/json.html for details.
                  All defaults are preserved.
              save_args: Arguments passed on to ```json.dump``.
                  See https://docs.python.org/3/library/json.html
                  for details. All defaults are preserved.
              version: If specified, should be an instance of
                  ``kedro.io.core.Version``. If its ``load`` attribute is
                  None, the latest version will be loaded. If its ``save``
                  attribute is None, save version will be autogenerated.
  
          """
          default_save_args = {"indent": 4}
          default_load_args = {}
          self._filepath = filepath
          self._load_args = (
              {**default_load_args, **load_args}
              if load_args is not None
              else default_load_args
          )
          self._save_args = (
              {**default_save_args, **save_args}
              if save_args is not None
              else default_save_args
          )
          self._version = version
  
      def _load(self) -> Any:
          load_path = self._get_load_path(self._filepath, self._version)
          with open(load_path, "r") as local_file:
              return json.load(local_file, **self._load_args)
  
      def _save(self, data: pd.DataFrame) -> None:
          save_path = Path(self._get_save_path(self._filepath, self._version))
          save_path.parent.mkdir(parents=True, exist_ok=True)
          with save_path.open("w") as local_file:
              json.dump(data, local_file, **self._save_args)
  
          load_path = Path(self._get_load_path(self._filepath, self._version))
          self._check_paths_consistency(
              str(load_path.absolute()), str(save_path.absolute())
          )
  
      def _exists(self) -> bool:
          try:
              path = self._get_load_path(self._filepath, self._version)
          except DataSetError:
              return False
          return Path(path).is_file()
  