Module markov.data_models.dataset

Classes

class FinishSDKUploadResponse (return_code: ReturnCode,
uploaded_path: str | None = '',
cred_id: str | None = '',
message: str | None = '')

FinishSDKUploadResponse(return_code: markov.api.mkv_constants.ReturnCode, uploaded_path: Optional[str] = '', cred_id: Optional[str] = '', message: Optional[str] = '')

Static methods

def from_dict(kvs: dict | list | str | int | float | bool | None, *, infer_missing=False) ‑> ~A

def from_json(s: str | bytes | bytearray,
*,
parse_float=None,
parse_int=None,
parse_constant=None,
infer_missing=False,
**kw) ‑> ~A

def schema(*,
infer_missing: bool = False,
only=None,
exclude=(),
many: bool = False,
context=None,
load_only=(),
dump_only=(),
partial: bool = False,
unknown=None) ‑> dataclasses_json.mm.SchemaF[~A]

Instance variables

var cred_id : str | None

var message : str | None

var return_code : ReturnCode

var uploaded_path : str | None

Methods

def to_dict(self, encode_json=False) ‑> Dict[str, dict | list | str | int | float | bool | None]

def to_json(self,
*,
skipkeys: bool = False,
ensure_ascii: bool = True,
check_circular: bool = True,
allow_nan: bool = True,
indent: int | str | None = None,
separators: Tuple[str, str] | None = None,
default: Callable | None = None,
sort_keys: bool = False,
**kw) ‑> str