Source code for pyatlan.model.assets.preset_dataset

# SPDX-License-Identifier: Apache-2.0
# Copyright 2025 Atlan Pte. Ltd.


from __future__ import annotations

from typing import ClassVar, List, Optional, overload
from warnings import warn

from pydantic.v1 import Field, validator

from pyatlan.model.enums import AtlanConnectorType
from pyatlan.model.fields.atlan_fields import (
    KeywordField,
    KeywordTextStemmedField,
    NumericField,
    RelationField,
)
from pyatlan.utils import init_guid, validate_required_fields

from .preset import Preset


[docs] class PresetDataset(Preset): """Description""" @overload @classmethod def creator( cls, *, name: str, preset_dashboard_qualified_name: str, ) -> PresetDataset: ... @overload @classmethod def creator( cls, *, name: str, preset_dashboard_qualified_name: str, connection_qualified_name: str, ) -> PresetDataset: ... @classmethod @init_guid def creator( cls, *, name: str, preset_dashboard_qualified_name: str, connection_qualified_name: Optional[str] = None, ) -> PresetDataset: validate_required_fields( ["name", "preset_dashboard_qualified_name"], [name, preset_dashboard_qualified_name], ) attributes = PresetDataset.Attributes.create( name=name, preset_dashboard_qualified_name=preset_dashboard_qualified_name, connection_qualified_name=connection_qualified_name, ) return cls(attributes=attributes) @classmethod @init_guid def create( cls, *, name: str, preset_dashboard_qualified_name: str ) -> PresetDataset: warn( ( "This method is deprecated, please use 'creator' " "instead, which offers identical functionality." ), DeprecationWarning, stacklevel=2, ) return cls.creator( name=name, preset_dashboard_qualified_name=preset_dashboard_qualified_name ) type_name: str = Field(default="PresetDataset", allow_mutation=False) @validator("type_name") def validate_type_name(cls, v): if v != "PresetDataset": raise ValueError("must be PresetDataset") return v def __setattr__(self, name, value): if name in PresetDataset._convenience_properties: return object.__setattr__(self, name, value) super().__setattr__(name, value) PRESET_DATASET_DATASOURCE_NAME: ClassVar[KeywordTextStemmedField] = ( KeywordTextStemmedField( "presetDatasetDatasourceName", "presetDatasetDatasourceName.keyword", "presetDatasetDatasourceName", "presetDatasetDatasourceName.stemmed", ) ) """ """ PRESET_DATASET_ID: ClassVar[NumericField] = NumericField( "presetDatasetId", "presetDatasetId" ) """ """ PRESET_DATASET_TYPE: ClassVar[KeywordField] = KeywordField( "presetDatasetType", "presetDatasetType" ) """ """ PRESET_DASHBOARD: ClassVar[RelationField] = RelationField("presetDashboard") """ TBC """ _convenience_properties: ClassVar[List[str]] = [ "preset_dataset_datasource_name", "preset_dataset_id", "preset_dataset_type", "preset_dashboard", ] @property def preset_dataset_datasource_name(self) -> Optional[str]: return ( None if self.attributes is None else self.attributes.preset_dataset_datasource_name ) @preset_dataset_datasource_name.setter def preset_dataset_datasource_name( self, preset_dataset_datasource_name: Optional[str] ): if self.attributes is None: self.attributes = self.Attributes() self.attributes.preset_dataset_datasource_name = preset_dataset_datasource_name @property def preset_dataset_id(self) -> Optional[int]: return None if self.attributes is None else self.attributes.preset_dataset_id @preset_dataset_id.setter def preset_dataset_id(self, preset_dataset_id: Optional[int]): if self.attributes is None: self.attributes = self.Attributes() self.attributes.preset_dataset_id = preset_dataset_id @property def preset_dataset_type(self) -> Optional[str]: return None if self.attributes is None else self.attributes.preset_dataset_type @preset_dataset_type.setter def preset_dataset_type(self, preset_dataset_type: Optional[str]): if self.attributes is None: self.attributes = self.Attributes() self.attributes.preset_dataset_type = preset_dataset_type @property def preset_dashboard(self) -> Optional[PresetDashboard]: return None if self.attributes is None else self.attributes.preset_dashboard @preset_dashboard.setter def preset_dashboard(self, preset_dashboard: Optional[PresetDashboard]): if self.attributes is None: self.attributes = self.Attributes() self.attributes.preset_dashboard = preset_dashboard class Attributes(Preset.Attributes): preset_dataset_datasource_name: Optional[str] = Field( default=None, description="" ) preset_dataset_id: Optional[int] = Field(default=None, description="") preset_dataset_type: Optional[str] = Field(default=None, description="") preset_dashboard: Optional[PresetDashboard] = Field( default=None, description="" ) # relationship @classmethod @init_guid def create( cls, *, name: str, preset_dashboard_qualified_name: str, connection_qualified_name: Optional[str] = None, ) -> PresetDataset.Attributes: validate_required_fields( ["name", "preset_dashboard_qualified_name"], [name, preset_dashboard_qualified_name], ) if connection_qualified_name: connector_name = AtlanConnectorType.get_connector_name( connection_qualified_name ) else: connection_qn, connector_name = AtlanConnectorType.get_connector_name( preset_dashboard_qualified_name, "preset_dashboard_qualified_name", 5, ) return PresetDataset.Attributes( name=name, preset_dashboard_qualified_name=preset_dashboard_qualified_name, connection_qualified_name=connection_qualified_name or connection_qn, qualified_name=f"{preset_dashboard_qualified_name}/{name}", connector_name=connector_name, preset_dashboard=PresetDashboard.ref_by_qualified_name( preset_dashboard_qualified_name ), ) attributes: PresetDataset.Attributes = Field( default_factory=lambda: PresetDataset.Attributes(), description=( "Map of attributes in the instance and their values. " "The specific keys of this map will vary by type, " "so are described in the sub-types of this schema." ), )
from .preset_dashboard import PresetDashboard # noqa: E402, F401 PresetDataset.Attributes.update_forward_refs()