flytekitplugins.great_expectations.BatchRequestConfig#

class flytekitplugins.great_expectations.BatchRequestConfig(data_connector_query=None, runtime_parameters=None, batch_identifiers=None, batch_spec_passthrough=None)[source]#

Use this configuration to configure Batch Request. A BatchRequest can either be a simple BatchRequest or a RuntimeBatchRequest.

Parameters

  • data_connector_query (Optional[Dict[str, Any]]) – query to request data batch

  • runtime_parameters (Optional[Dict[str, Any]]) – parameters to be passed at runtime

  • batch_identifiers (Optional[Dict[str, str]]) – identifiers to identify the data batch

  • batch_spec_passthrough (Optional[Dict[str, Any]]) – reader method if your file doesn’t have an extension

Return type

None

Methods

classmethod from_dict(kvs, *, infer_missing=False)#
Parameters

kvs (Optional[Union[dict, list, str, int, float, bool]]) –

Return type

dataclasses_json.api.A

classmethod from_json(s, *, parse_float=None, parse_int=None, parse_constant=None, infer_missing=False, **kw)#
Parameters

s (Union[str, bytes, bytearray]) –

Return type

dataclasses_json.api.A

classmethod schema(*, infer_missing=False, only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)#
Parameters

  • infer_missing (bool) –

  • many (bool) –

  • partial (bool) –

Return type

dataclasses_json.mm.SchemaF[dataclasses_json.mm.A]

to_dict(encode_json=False)#
Return type

Dict[str, Optional[Union[dict, list, str, int, float, bool]]]

to_json(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, indent=None, separators=None, default=None, sort_keys=False, **kw)#
Parameters
Return type

str

Attributes

batch_identifiers: Optional[Dict[str, str]] = None#
batch_spec_passthrough: Optional[Dict[str, Any]] = None#
data_connector_query: Optional[Dict[str, Any]] = None#
runtime_parameters: Optional[Dict[str, Any]] = None#