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: ...