Files
2026-07-13 13:22:34 +08:00

84 lines
4.3 KiB
Python
Generated

from google.protobuf.internal import containers as _containers
from google.protobuf.internal import enum_type_wrapper as _enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from typing import ClassVar as _ClassVar, Iterable as _Iterable, Optional as _Optional, Union as _Union
DESCRIPTOR: _descriptor.FileDescriptor
class Dataset(_message.Message):
__slots__ = ("dataset_id", "name", "tags", "schema", "profile", "digest", "created_time", "last_update_time", "created_by", "last_updated_by", "experiment_ids")
DATASET_ID_FIELD_NUMBER: _ClassVar[int]
NAME_FIELD_NUMBER: _ClassVar[int]
TAGS_FIELD_NUMBER: _ClassVar[int]
SCHEMA_FIELD_NUMBER: _ClassVar[int]
PROFILE_FIELD_NUMBER: _ClassVar[int]
DIGEST_FIELD_NUMBER: _ClassVar[int]
CREATED_TIME_FIELD_NUMBER: _ClassVar[int]
LAST_UPDATE_TIME_FIELD_NUMBER: _ClassVar[int]
CREATED_BY_FIELD_NUMBER: _ClassVar[int]
LAST_UPDATED_BY_FIELD_NUMBER: _ClassVar[int]
EXPERIMENT_IDS_FIELD_NUMBER: _ClassVar[int]
dataset_id: str
name: str
tags: str
schema: str
profile: str
digest: str
created_time: int
last_update_time: int
created_by: str
last_updated_by: str
experiment_ids: _containers.RepeatedScalarFieldContainer[str]
def __init__(self, dataset_id: _Optional[str] = ..., name: _Optional[str] = ..., tags: _Optional[str] = ..., schema: _Optional[str] = ..., profile: _Optional[str] = ..., digest: _Optional[str] = ..., created_time: _Optional[int] = ..., last_update_time: _Optional[int] = ..., created_by: _Optional[str] = ..., last_updated_by: _Optional[str] = ..., experiment_ids: _Optional[_Iterable[str]] = ...) -> None: ...
class DatasetRecord(_message.Message):
__slots__ = ("dataset_record_id", "dataset_id", "inputs", "expectations", "tags", "source", "source_id", "source_type", "created_time", "last_update_time", "created_by", "last_updated_by", "outputs")
DATASET_RECORD_ID_FIELD_NUMBER: _ClassVar[int]
DATASET_ID_FIELD_NUMBER: _ClassVar[int]
INPUTS_FIELD_NUMBER: _ClassVar[int]
EXPECTATIONS_FIELD_NUMBER: _ClassVar[int]
TAGS_FIELD_NUMBER: _ClassVar[int]
SOURCE_FIELD_NUMBER: _ClassVar[int]
SOURCE_ID_FIELD_NUMBER: _ClassVar[int]
SOURCE_TYPE_FIELD_NUMBER: _ClassVar[int]
CREATED_TIME_FIELD_NUMBER: _ClassVar[int]
LAST_UPDATE_TIME_FIELD_NUMBER: _ClassVar[int]
CREATED_BY_FIELD_NUMBER: _ClassVar[int]
LAST_UPDATED_BY_FIELD_NUMBER: _ClassVar[int]
OUTPUTS_FIELD_NUMBER: _ClassVar[int]
dataset_record_id: str
dataset_id: str
inputs: str
expectations: str
tags: str
source: str
source_id: str
source_type: DatasetRecordSource.SourceType
created_time: int
last_update_time: int
created_by: str
last_updated_by: str
outputs: str
def __init__(self, dataset_record_id: _Optional[str] = ..., dataset_id: _Optional[str] = ..., inputs: _Optional[str] = ..., expectations: _Optional[str] = ..., tags: _Optional[str] = ..., source: _Optional[str] = ..., source_id: _Optional[str] = ..., source_type: _Optional[_Union[DatasetRecordSource.SourceType, str]] = ..., created_time: _Optional[int] = ..., last_update_time: _Optional[int] = ..., created_by: _Optional[str] = ..., last_updated_by: _Optional[str] = ..., outputs: _Optional[str] = ...) -> None: ...
class DatasetRecordSource(_message.Message):
__slots__ = ("source_type", "source_data")
class SourceType(int, metaclass=_enum_type_wrapper.EnumTypeWrapper):
__slots__ = ()
SOURCE_TYPE_UNSPECIFIED: _ClassVar[DatasetRecordSource.SourceType]
TRACE: _ClassVar[DatasetRecordSource.SourceType]
HUMAN: _ClassVar[DatasetRecordSource.SourceType]
DOCUMENT: _ClassVar[DatasetRecordSource.SourceType]
CODE: _ClassVar[DatasetRecordSource.SourceType]
SOURCE_TYPE_UNSPECIFIED: DatasetRecordSource.SourceType
TRACE: DatasetRecordSource.SourceType
HUMAN: DatasetRecordSource.SourceType
DOCUMENT: DatasetRecordSource.SourceType
CODE: DatasetRecordSource.SourceType
SOURCE_TYPE_FIELD_NUMBER: _ClassVar[int]
SOURCE_DATA_FIELD_NUMBER: _ClassVar[int]
source_type: DatasetRecordSource.SourceType
source_data: str
def __init__(self, source_type: _Optional[_Union[DatasetRecordSource.SourceType, str]] = ..., source_data: _Optional[str] = ...) -> None: ...