Module markov.api.data.analysis

Classes

class DataAnalysisRunResponse (ds_id: str,
segment_pairs: List[DataSegmentRunIdPair],
run_id: str)

DataAnalysisRunResponse(ds_id: 'str', segment_pairs: 'List[DataSegmentRunIdPair]', run_id: 'str')

Static methods

def create_from_dict(value: Dict) ‑> DataAnalysisRunResponse

def create_from_json(value: str) ‑> DataAnalysisRunResponse

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 ds_id : str

var run_id : str

var segment_pairs : List[DataSegmentRunIdPair]

Methods

def get_dict(self) ‑> str

def get_json(self) ‑> str

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

class DataAnalysisRunStatusResponse (run_id: str, ds_id: str, status: str)

DataAnalysisRunStatusResponse(run_id: 'str', ds_id: 'str', status: 'str')

Static methods

def create_from_dict(value: Dict) ‑> DataAnalysisRunStatusResponse

def create_from_json(value: str) ‑> DataAnalysisRunStatusResponse

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 ds_id : str

var run_id : str

var status : str

Methods

def get_dict(self) ‑> str

def get_json(self) ‑> str

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

class DataSegmentRunIdPair (run_id: str, segment_type: SegmentType)

DataSegmentRunIdPair(run_id: 'str', segment_type: 'SegmentType')

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 run_id : str

var segment_type : SegmentType

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