class documentation

class YAMLDataSet(AbstractVersionedDataSet[Dict, Dict]): (source)

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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:

cars:
  type: yaml.YAMLDataSet
  filepath: cars.yaml

Example usage for the Python API:

>>> from kedro.extras.datasets.yaml import YAMLDataSet
>>>
>>> data = {'col1': [1, 2], 'col2': [4, 5], 'col3': [5, 6]}
>>>
>>> data_set = YAMLDataSet(filepath="test.yaml")
>>> data_set.save(data)
>>> reloaded = data_set.load()
>>> assert data == reloaded
Method __init__ Creates a new instance of YAMLDataSet pointing to a concrete YAML file on a specific filesystem.
Constant DEFAULT_SAVE_ARGS Undocumented
Method _describe Undocumented
Method _exists Undocumented
Method _invalidate_cache Invalidate underlying filesystem caches.
Method _load Undocumented
Method _release Undocumented
Method _save Undocumented
Instance Variable _fs Undocumented
Instance Variable _fs_open_args_load Undocumented
Instance Variable _fs_open_args_save Undocumented
Instance Variable _protocol Undocumented
Instance Variable _save_args Undocumented

Inherited from AbstractVersionedDataSet:

Method exists Checks whether a data set's output already exists by calling the provided _exists() method.
Method load Loads data by delegation to the provided load method.
Method resolve_load_version Compute the version the dataset should be loaded with.
Method resolve_save_version Compute the version the dataset should be saved with.
Method save Saves data by delegation to the provided save method.
Method _fetch_latest_load_version Undocumented
Method _fetch_latest_save_version Generate and cache the current save version
Method _get_load_path Undocumented
Method _get_save_path Undocumented
Method _get_versioned_path Undocumented
Instance Variable _exists_function Undocumented
Instance Variable _filepath Undocumented
Instance Variable _glob_function Undocumented
Instance Variable _version Undocumented
Instance Variable _version_cache Undocumented

Inherited from AbstractDataSet (via AbstractVersionedDataSet):

Class Method from_config Create a data set instance using the configuration provided.
Method __str__ Undocumented
Method release Release any cached data.
Method _copy Undocumented
Property _logger Undocumented
def __init__(self, filepath: str, save_args: Dict[str, Any] = None, version: Version = None, credentials: Dict[str, Any] = None, fs_args: Dict[str, Any] = None): (source)

Creates a new instance of YAMLDataSet pointing to a concrete YAML file on a specific filesystem.

Parameters
filepath:strFilepath 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:Dict[str, Any]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:VersionIf 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:Dict[str, Any]Credentials required to get access to the underlying filesystem. E.g. for GCSFileSystem it should look like {"token": None}.
fs_args:Dict[str, Any]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.
DEFAULT_SAVE_ARGS: Dict[str, Any] = (source)

Undocumented

Value
{'default_flow_style': False}
def _describe(self) -> Dict[str, Any]: (source)

Undocumented

def _exists(self) -> bool: (source)

Undocumented

def _invalidate_cache(self): (source)

Invalidate underlying filesystem caches.

def _load(self) -> Dict: (source)

Undocumented

def _release(self): (source)
def _save(self, data: Dict): (source)

Undocumented

Undocumented

_fs_open_args_load = (source)

Undocumented

_fs_open_args_save = (source)

Undocumented

_protocol = (source)

Undocumented

_save_args = (source)

Undocumented