Source code for pyatlan.model.assets.core.fabric_semantic_model_table

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


from __future__ import annotations

from typing import ClassVar, List, Optional

from pydantic.v1 import Field, validator

from pyatlan.model.fields.atlan_fields import KeywordField, RelationField

from .fabric import Fabric


[docs] class FabricSemanticModelTable(Fabric): """Description""" type_name: str = Field(default="FabricSemanticModelTable", allow_mutation=False) @validator("type_name") def validate_type_name(cls, v): if v != "FabricSemanticModelTable": raise ValueError("must be FabricSemanticModelTable") return v def __setattr__(self, name, value): if name in FabricSemanticModelTable._convenience_properties: return object.__setattr__(self, name, value) super().__setattr__(name, value) FABRIC_SEMANTIC_MODEL_QUALIFIED_NAME: ClassVar[KeywordField] = KeywordField( "fabricSemanticModelQualifiedName", "fabricSemanticModelQualifiedName" ) """ Unique name of the Fabric semantic model that contains this asset. """ FABRIC_SEMANTIC_MODEL_TABLE_COLUMNS: ClassVar[RelationField] = RelationField( "fabricSemanticModelTableColumns" ) """ TBC """ FABRIC_SEMANTIC_MODEL: ClassVar[RelationField] = RelationField( "fabricSemanticModel" ) """ TBC """ _convenience_properties: ClassVar[List[str]] = [ "fabric_semantic_model_qualified_name", "fabric_semantic_model_table_columns", "fabric_semantic_model", ] @property def fabric_semantic_model_qualified_name(self) -> Optional[str]: return ( None if self.attributes is None else self.attributes.fabric_semantic_model_qualified_name ) @fabric_semantic_model_qualified_name.setter def fabric_semantic_model_qualified_name( self, fabric_semantic_model_qualified_name: Optional[str] ): if self.attributes is None: self.attributes = self.Attributes() self.attributes.fabric_semantic_model_qualified_name = ( fabric_semantic_model_qualified_name ) @property def fabric_semantic_model_table_columns( self, ) -> Optional[List[FabricSemanticModelTableColumn]]: return ( None if self.attributes is None else self.attributes.fabric_semantic_model_table_columns ) @fabric_semantic_model_table_columns.setter def fabric_semantic_model_table_columns( self, fabric_semantic_model_table_columns: Optional[ List[FabricSemanticModelTableColumn] ], ): if self.attributes is None: self.attributes = self.Attributes() self.attributes.fabric_semantic_model_table_columns = ( fabric_semantic_model_table_columns ) @property def fabric_semantic_model(self) -> Optional[FabricSemanticModel]: return ( None if self.attributes is None else self.attributes.fabric_semantic_model ) @fabric_semantic_model.setter def fabric_semantic_model( self, fabric_semantic_model: Optional[FabricSemanticModel] ): if self.attributes is None: self.attributes = self.Attributes() self.attributes.fabric_semantic_model = fabric_semantic_model class Attributes(Fabric.Attributes): fabric_semantic_model_qualified_name: Optional[str] = Field( default=None, description="" ) fabric_semantic_model_table_columns: Optional[ List[FabricSemanticModelTableColumn] ] = Field(default=None, description="") # relationship fabric_semantic_model: Optional[FabricSemanticModel] = Field( default=None, description="" ) # relationship attributes: FabricSemanticModelTable.Attributes = Field( default_factory=lambda: FabricSemanticModelTable.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 .fabric_semantic_model import FabricSemanticModel # noqa: E402, F401 from .fabric_semantic_model_table_column import ( FabricSemanticModelTableColumn, # noqa: E402, F401 )