"""``YAMLDataset`` loads/saves data from/to a YAML file using an underlying
filesystem (e.g.: local, S3, GCS). It uses PyYAML to handle the YAML file.
"""
import warnings
from copy import deepcopy
from pathlib import PurePosixPath
from typing import Any, Dict
import fsspec
import yaml
from kedro.io.core import Version, get_filepath_str, get_protocol_and_path
from kedro_datasets import KedroDeprecationWarning
from kedro_datasets._io import AbstractVersionedDataset, DatasetError
[docs]class YAMLDataset(AbstractVersionedDataset[Dict, Dict]):
"""``YAMLDataset`` loads/saves data from/to a YAML file using an underlying
filesystem (e.g.: local, S3, GCS). It uses PyYAML to handle the YAML file.
Example usage for the
`YAML API <https://kedro.readthedocs.io/en/stable/data/\
data_catalog_yaml_examples.html>`_:
.. code-block:: yaml
cars:
type: yaml.YAMLDataset
filepath: cars.yaml
Example usage for the
`Python API <https://kedro.readthedocs.io/en/stable/data/\
advanced_data_catalog_usage.html>`_:
::
>>> from kedro_datasets.yaml import YAMLDataset
>>>
>>> data = {'col1': [1, 2], 'col2': [4, 5], 'col3': [5, 6]}
>>>
>>> dataset = YAMLDataset(filepath="test.yaml")
>>> dataset.save(data)
>>> reloaded = dataset.load()
>>> assert data == reloaded
"""
DEFAULT_SAVE_ARGS: Dict[str, Any] = {"default_flow_style": False}
[docs] def __init__( # noqa: PLR0913
self,
filepath: str,
save_args: Dict[str, Any] = None,
version: Version = None,
credentials: Dict[str, Any] = None,
fs_args: Dict[str, Any] = None,
metadata: Dict[str, Any] = None,
) -> None:
"""Creates a new instance of ``YAMLDataset`` pointing to a concrete YAML file
on a specific filesystem.
Args:
filepath: Filepath in POSIX format to a YAML file prefixed with a protocol like `s3://`.
If prefix is not provided, `file` protocol (local filesystem) will be used.
The prefix should be any protocol supported by ``fsspec``.
Note: `http(s)` doesn't support versioning.
save_args: PyYAML options for saving YAML files (arguments passed
into ```yaml.dump``). Here you can find all available arguments:
https://pyyaml.org/wiki/PyYAMLDocumentation
All defaults are preserved, but "default_flow_style", which is set to False.
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.
credentials: Credentials required to get access to the underlying filesystem.
E.g. for ``GCSFileSystem`` it should look like `{"token": None}`.
fs_args: Extra arguments to pass into underlying filesystem class constructor
(e.g. `{"project": "my-project"}` for ``GCSFileSystem``), as well as
to pass to the filesystem's `open` method through nested keys
`open_args_load` and `open_args_save`.
Here you can find all available arguments for `open`:
https://filesystem-spec.readthedocs.io/en/latest/api.html#fsspec.spec.AbstractFileSystem.open
All defaults are preserved, except `mode`, which is set to `r` when loading
and to `w` when saving.
metadata: Any arbitrary metadata.
This is ignored by Kedro, but may be consumed by users or external plugins.
"""
_fs_args = deepcopy(fs_args) or {}
_fs_open_args_load = _fs_args.pop("open_args_load", {})
_fs_open_args_save = _fs_args.pop("open_args_save", {})
_credentials = deepcopy(credentials) or {}
protocol, path = get_protocol_and_path(filepath, version)
if protocol == "file":
_fs_args.setdefault("auto_mkdir", True)
self._protocol = protocol
self._fs = fsspec.filesystem(self._protocol, **_credentials, **_fs_args)
self.metadata = metadata
super().__init__(
filepath=PurePosixPath(path),
version=version,
exists_function=self._fs.exists,
glob_function=self._fs.glob,
)
# Handle default save arguments
self._save_args = deepcopy(self.DEFAULT_SAVE_ARGS)
if save_args is not None:
self._save_args.update(save_args)
_fs_open_args_save.setdefault("mode", "w")
self._fs_open_args_load = _fs_open_args_load
self._fs_open_args_save = _fs_open_args_save
def _describe(self) -> Dict[str, Any]:
return {
"filepath": self._filepath,
"protocol": self._protocol,
"save_args": self._save_args,
"version": self._version,
}
def _load(self) -> Dict:
load_path = get_filepath_str(self._get_load_path(), self._protocol)
with self._fs.open(load_path, **self._fs_open_args_load) as fs_file:
return yaml.safe_load(fs_file)
def _save(self, data: Dict) -> None:
save_path = get_filepath_str(self._get_save_path(), self._protocol)
with self._fs.open(save_path, **self._fs_open_args_save) as fs_file:
yaml.dump(data, fs_file, **self._save_args)
self._invalidate_cache()
def _exists(self) -> bool:
try:
load_path = get_filepath_str(self._get_load_path(), self._protocol)
except DatasetError:
return False
return self._fs.exists(load_path)
def _release(self) -> None:
super()._release()
self._invalidate_cache()
def _invalidate_cache(self) -> None:
"""Invalidate underlying filesystem caches."""
filepath = get_filepath_str(self._filepath, self._protocol)
self._fs.invalidate_cache(filepath)
_DEPRECATED_CLASSES = {
"YAMLDataSet": YAMLDataset,
}
def __getattr__(name):
if name in _DEPRECATED_CLASSES:
alias = _DEPRECATED_CLASSES[name]
warnings.warn(
f"{repr(name)} has been renamed to {repr(alias.__name__)}, "
f"and the alias will be removed in Kedro-Datasets 2.0.0",
KedroDeprecationWarning,
stacklevel=2,
)
return alias
raise AttributeError(f"module {repr(__name__)} has no attribute {repr(name)}")