Source code for pyatlan.model.assets.core.fabric_dataflow_entity_column
# 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 FabricDataflowEntityColumn(Fabric):
"""Description"""
type_name: str = Field(default="FabricDataflowEntityColumn", allow_mutation=False)
@validator("type_name")
def validate_type_name(cls, v):
if v != "FabricDataflowEntityColumn":
raise ValueError("must be FabricDataflowEntityColumn")
return v
def __setattr__(self, name, value):
if name in FabricDataflowEntityColumn._convenience_properties:
return object.__setattr__(self, name, value)
super().__setattr__(name, value)
FABRIC_DATAFLOW_QUALIFIED_NAME: ClassVar[KeywordField] = KeywordField(
"fabricDataflowQualifiedName", "fabricDataflowQualifiedName"
)
"""
Unique name of the Fabric dataflow that contains this asset.
"""
FABRIC_DATAFLOW_NAME: ClassVar[KeywordField] = KeywordField(
"fabricDataflowName", "fabricDataflowName"
)
"""
Name of the Fabric dataflow that contains this asset.
"""
FABRIC_DATAFLOW: ClassVar[RelationField] = RelationField("fabricDataflow")
"""
TBC
"""
_convenience_properties: ClassVar[List[str]] = [
"fabric_dataflow_qualified_name",
"fabric_dataflow_name",
"fabric_dataflow",
]
@property
def fabric_dataflow_qualified_name(self) -> Optional[str]:
return (
None
if self.attributes is None
else self.attributes.fabric_dataflow_qualified_name
)
@fabric_dataflow_qualified_name.setter
def fabric_dataflow_qualified_name(
self, fabric_dataflow_qualified_name: Optional[str]
):
if self.attributes is None:
self.attributes = self.Attributes()
self.attributes.fabric_dataflow_qualified_name = fabric_dataflow_qualified_name
@property
def fabric_dataflow_name(self) -> Optional[str]:
return None if self.attributes is None else self.attributes.fabric_dataflow_name
@fabric_dataflow_name.setter
def fabric_dataflow_name(self, fabric_dataflow_name: Optional[str]):
if self.attributes is None:
self.attributes = self.Attributes()
self.attributes.fabric_dataflow_name = fabric_dataflow_name
@property
def fabric_dataflow(self) -> Optional[FabricDataflow]:
return None if self.attributes is None else self.attributes.fabric_dataflow
@fabric_dataflow.setter
def fabric_dataflow(self, fabric_dataflow: Optional[FabricDataflow]):
if self.attributes is None:
self.attributes = self.Attributes()
self.attributes.fabric_dataflow = fabric_dataflow
class Attributes(Fabric.Attributes):
fabric_dataflow_qualified_name: Optional[str] = Field(
default=None, description=""
)
fabric_dataflow_name: Optional[str] = Field(default=None, description="")
fabric_dataflow: Optional[FabricDataflow] = Field(
default=None, description=""
) # relationship
attributes: FabricDataflowEntityColumn.Attributes = Field(
default_factory=lambda: FabricDataflowEntityColumn.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_dataflow import FabricDataflow # noqa: E402, F401