field_data#

Wrappers over FieldData gRPC service of Fluent.

Classes:

`BaseFieldData`(i_d, data)	Contains common properties required by all field data types.
`ChunkParser`([callbacks_provider])	Class for parsing field data stream received from Fluent.
`FacesCentroid`(i_d, data)	Provides the container for the face centroid data.
`FacesConnectivity`(i_d, data)	Provides the container for the face connectivity data.
`FacesNormal`(i_d, data)	Provides the container for the face normal data.
`FieldData`(service, field_info, is_data_valid)	Provides access to Fluent field data on surfaces.
`FieldDataService`(channel, metadata, ...)	FieldData service of Fluent.
`FieldInfo`(service, is_data_valid)	Provides access to Fluent field information.
`FieldTransaction`(service, field_info, ...)	Populates Fluent field data on surfaces.
`ScalarFieldData`(i_d, data)	Contains scalar field data.
`SurfaceDataType`(value[, names, module, ...])	Provides surface data types.
`Vector`(x, y, z)	Stores the data as a vector `(x, y, z)`.
`VectorFieldData`(i_d, data, scale)	Provides a container for vector field data.
`Vertices`(i_d, data)	Provides a container for the vertex data.

Exceptions:

FieldUnavailable

Raised when field is unavailable.

Functions:

`get_fields_request`()	Populates a new field request.
`override_help_text`(func, func_to_be_wrapped)	Override function help text.

class ansys.fluent.core.services.field_data.BaseFieldData(i_d, data)#

Bases: object

Contains common properties required by all field data types.

Methods:

__init__(i_d, data)

__init__ method of BaseFieldData class.

Attributes:

`data`	Returns data.
`size`	Returns size of data.
`surface_id`	Returns surface ID.

__init__(i_d, data)#: __init__ method of BaseFieldData class.

property data#: Returns data.

property size#: Returns size of data.

property surface_id#: Returns surface ID.

class ansys.fluent.core.services.field_data.ChunkParser(callbacks_provider=None)#

Bases: object

Class for parsing field data stream received from Fluent.

Parameters:

callbacks_providerobject
The object which can register and unregister callbacks.
It provides callbacks, which are triggered with following arguments:: zone_id : int field_name : str field : numpy array

Methods:

`__init__`([callbacks_provider])	__init__ method of ChunkParser class.
`extract_fields`(chunk_iterator)	Extracts field data received from Fluent.

__init__(callbacks_provider=None)#: __init__ method of ChunkParser class.

extract_fields(chunk_iterator)#

Extracts field data received from Fluent.

if callbacks_provider is set then callbacks are triggered with extracted data.

class ansys.fluent.core.services.field_data.FacesCentroid(i_d, data)#

Bases: BaseFieldData

Provides the container for the face centroid data.

Classes:

Centroid(x, y, z)

Stores and provides the face centroid data as a vector.

Methods:

__init__(i_d, data)

__init__ method of FacesCentroid class.

class Centroid(x, y, z)#

Bases: Vector

Stores and provides the face centroid data as a vector.

Methods:

__init__(x, y, z)

__init__ method of Centroid class.

__init__(x, y, z)#: __init__ method of Centroid class.

__init__(i_d, data)#: __init__ method of FacesCentroid class.

class ansys.fluent.core.services.field_data.FacesConnectivity(i_d, data)#

Bases: BaseFieldData

Provides the container for the face connectivity data.

Classes:

Faces(node_count, node_indices)

Stores and provides the face connectivity data as an array.

Methods:

__init__(i_d, data)

__init__ method of FacesConnectivity class.

class Faces(node_count, node_indices)#

Bases: object

Stores and provides the face connectivity data as an array.

Methods:

__init__(node_count, node_indices)

__init__ method of Faces class.

__init__(node_count, node_indices)#: __init__ method of Faces class.

__init__(i_d, data)#: __init__ method of FacesConnectivity class.

class ansys.fluent.core.services.field_data.FacesNormal(i_d, data)#

Bases: BaseFieldData

Provides the container for the face normal data.

Classes:

Normal(x, y, z)

Stores and provides the face normal data as a vector.

Methods:

__init__(i_d, data)

__init__ method of FacesNormal class.

class Normal(x, y, z)#

Bases: Vector

Stores and provides the face normal data as a vector.

Methods:

__init__(x, y, z)

__init__ method of Normal class.

__init__(x, y, z)#: __init__ method of Normal class.

__init__(i_d, data)#: __init__ method of FacesNormal class.

class ansys.fluent.core.services.field_data.FieldData(service, field_info, is_data_valid, scheme_eval=None)#

Bases: object

Provides access to Fluent field data on surfaces.

Methods:

`__init__`(service, field_info, is_data_valid)	__init__ method of FieldData class.
`get_pathlines_field_data`(field_name, surfaces)	Get the pathlines field data on a surface.
`get_scalar_field_data`(field_name, surfaces)	Get scalar field data on a surface.
`get_surface_data`(data_types, surfaces[, ...])	Get surface data (vertices, faces connectivity, centroids, and normals).
`get_vector_field_data`(field_name, surfaces)	Get vector field data on a surface.
`new_transaction`()	Create a new field transaction.

__init__(service, field_info, is_data_valid, scheme_eval=None)#: __init__ method of FieldData class.

get_pathlines_field_data(field_name, surfaces, additional_field_name='', provide_particle_time_field=False, node_value=True, steps=500, step_size=500, skip=0, reverse=False, accuracy_control_on=False, tolerance=0.001, coarsen=1, velocity_domain='all-phases', zones=[])#

Get the pathlines field data on a surface.

Parameters:

field_namestr: Name of the scalar field to color pathlines.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.
additional_field_namestr, optional: Additional field if required.
provide_particle_time_field: bool, optional: Whether to provide the particle time. The default is False.
node_valuebool, optional: Whether to provide the nodal values. The default is True. If False, element values are provided.
steps: int, optional: Pathlines steps. The default is 500
step_size: float, optional: Pathlines step size. The default is 0.01.
skip: int, optional: Pathlines to skip. The default is 0.
reverse: bool, optional: Whether to draw pathlines in reverse direction. The default is False.
accuracy_control_on: bool, optional: Whether to control accuracy. The default is False.
tolerance: float, optional: Pathlines tolerance. The default is 0.001.
coarsen: int, optional: Pathlines coarsen. The default is 1.
velocity_domain: str, optional: Domain for pathlines. The default is "all-phases".
zones: list, optional: Zones for pathlines. The default is [].

Returns:

Dict: Dictionary containing a map of surface IDs to the pathline data. For example, pathlines connectivity, vertices, and field.

get_scalar_field_data(field_name, surfaces, node_value=True, boundary_value=True)#

Get scalar field data on a surface.

Parameters:

field_namestr: Name of the scalar field.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.
node_valuebool, optional: Whether to provide data for the nodal location. The default is True. When False, data is provided for the element location.
boundary_valuebool, optional: Whether to provide slip velocity at the wall boundaries. The default is True. When True, no slip velocity is provided.

Returns:

ScalarFieldData | Dict[int, ScalarFieldData]: If a surface name is provided as input, scalar field data is returned. If surface IDs are provided as input, a dictionary containing a map of surface IDs to scalar field data.

get_surface_data(data_types, surfaces, overset_mesh=False)#

Get surface data (vertices, faces connectivity, centroids, and normals).

Parameters:

data_typesList[SurfaceDataType] | List[str],: SurfaceDataType Enum members.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.
overset_meshbool, optional: Whether to provide the overset method. The default is False.

Returns:

Vertices, FacesConnectivity, FacesNormal, FacesCentroid | Dict[int, Vertices | FacesConnectivity | FacesNormal | FacesCentroid]: If a surface name is provided as input, face vertices, connectivity data, and normal or centroid data are returned. If surface IDs are provided as input, a dictionary containing a map of surface IDs to face vertices, connectivity data, and normal or centroid data is returned.

get_vector_field_data(field_name, surfaces)#

Get vector field data on a surface.

Parameters:

field_namestr: Name of the vector field.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.

Returns:

VectorFieldData | Dict[int, VectorFieldData]: If a surface name is provided as input, vector field data is returned. If surface IDs are provided as input, a dictionary containing a map of surface IDs to vector field data is returned.

new_transaction()#: Create a new field transaction.

class ansys.fluent.core.services.field_data.FieldDataService(channel, metadata, fluent_error_state)#

Bases: StreamingService

FieldData service of Fluent.

Methods:

`__init__`(channel, metadata, fluent_error_state)	__init__ method of FieldDataService class.
`get_fields`(request)	GetFields RPC of FieldData service.
`get_scalar_field_range`(request)	GetRange RPC of FieldData service.
`get_scalar_fields_info`(request)	GetFieldsInfo RPC of FieldData service.
`get_surfaces_info`(request)	GetSurfacesInfo RPC of FieldData service.
`get_vector_fields_info`(request)	GetVectorFieldsInfo RPC of FieldData service.

__init__(channel, metadata, fluent_error_state)#: __init__ method of FieldDataService class.

get_fields(request)#

GetFields RPC of FieldData service.

Raises:

RuntimeError: If an empty chunk encountered during field extraction.

get_scalar_field_range(request)#: GetRange RPC of FieldData service.

get_scalar_fields_info(request)#: GetFieldsInfo RPC of FieldData service.

get_surfaces_info(request)#: GetSurfacesInfo RPC of FieldData service.

get_vector_fields_info(request)#: GetVectorFieldsInfo RPC of FieldData service.

class ansys.fluent.core.services.field_data.FieldInfo(service, is_data_valid)#

Bases: object

Provides access to Fluent field information.

Methods

get_scalar_field_range(field: str, node_value: bool, surface_ids: List[int])
-> List[float]	Get the range (minimum and maximum values) of the field.
get_scalar_fields_info(self) -> dict	Get fields information (field name, domain, and section).
get_vector_fields_info(self) -> dict	Get vector fields information.
get_surfaces_info(self) -> dict	Get surfaces information (surface name, ID, and type).

Methods:

`__init__`(service, is_data_valid)	__init__ method of FieldInfo class.
`get_scalar_field_range`(field[, node_value, ...])	Get the range (minimum and maximum values) of the field.
`get_scalar_fields_info`()	Get fields information (field name, domain, and section).
`get_surfaces_info`()	Get surfaces information (surface name, ID, and type).
`get_vector_fields_info`()	Get vector fields information (vector components).
`validate_scalar_fields`(field_name)	Validate scalar fields.
`validate_surfaces`(surfaces)	Validate surfaces.
`validate_vector_fields`(field_name)	Validate vector fields.

__init__(service, is_data_valid)#: __init__ method of FieldInfo class.

get_scalar_field_range(field, node_value=False, surface_ids=None)#

Get the range (minimum and maximum values) of the field.

Parameters:

field: str: Field name
node_value: bool
surface_idsList[int], optional: List of surface IDS for the surface data.

Returns:

List[float]

get_scalar_fields_info()#

Get fields information (field name, domain, and section).

Returns:

Dict

get_surfaces_info()#

Get surfaces information (surface name, ID, and type).

Returns:

Dict

get_vector_fields_info()#

Get vector fields information (vector components).

Returns:

Dict

validate_scalar_fields(field_name)#: Validate scalar fields.

validate_surfaces(surfaces)#: Validate surfaces.

validate_vector_fields(field_name)#: Validate vector fields.

class ansys.fluent.core.services.field_data.FieldTransaction(service, field_info, allowed_surface_ids, allowed_surface_names, allowed_scalar_field_names, allowed_vector_field_names)#

Bases: object

Populates Fluent field data on surfaces.

Methods:

`__init__`(service, field_info, ...)	__init__ method of FieldTransaction class.
`add_pathlines_fields_request`(field_name, ...)	Add request to get pathlines field on surfaces.
`add_scalar_fields_request`(field_name, surfaces)	Add request to get scalar field data on surfaces.
`add_surfaces_request`(data_types, surfaces[, ...])	Add request to get surface data (vertices, face connectivity, centroids, and normals).
`add_vector_fields_request`(field_name, surfaces)	Add request to get vector field data on surfaces.
`get_fields`()	Get data for previously added requests and then clear all requests.

__init__(service, field_info, allowed_surface_ids, allowed_surface_names, allowed_scalar_field_names, allowed_vector_field_names)#: __init__ method of FieldTransaction class.

add_pathlines_fields_request(field_name, surfaces, additional_field_name='', provide_particle_time_field=False, node_value=True, steps=500, step_size=500, skip=0, reverse=False, accuracy_control_on=False, tolerance=0.001, coarsen=1, velocity_domain='all-phases', zones=[])#

Add request to get pathlines field on surfaces.

Parameters:

field_namestr: Name of the scalar field to color pathlines.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.
additional_field_namestr, optional: Additional field if required.
provide_particle_time_field: bool, optional: Whether to provide the particle time. The default is False.
node_valuebool, optional: Whether to provide the nodal values. The default is True. If False, element values are provided.
steps: int, optional: Pathlines steps. The default is 500
step_size: float, optional: Pathlines step size. The default is 0.01.
skip: int, optional: Pathlines to skip. The default is 0.
reverse: bool, optional: Whether to draw pathlines in a reverse direction. The default is False.
accuracy_control_on: bool, optional: Whether to control accuracy. The default is False.
tolerance: float, optional: Pathlines tolerance. The default is 0.001.
coarsen: int, optional: Pathlines coarsen. The default is 1.
velocity_domain: str, optional: Domain for pathlines. The default is "all-phases".
zones: list, optional: Zones for pathlines. The default is [].
Returns
——-
None

add_scalar_fields_request(field_name, surfaces, node_value=True, boundary_value=True)#

Add request to get scalar field data on surfaces.

Parameters:

field_namestr: Name of the scalar field.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.
node_valuebool, optional: Whether to provide the nodal location. The default is True. If False, the element location is provided.
boundary_valuebool, optional: Whether to provide the slip velocity at the wall boundaries. The default is True. When True, no slip velocity is provided.

Returns:

None

add_surfaces_request(data_types, surfaces, overset_mesh=False)#

Add request to get surface data (vertices, face connectivity, centroids, and normals).

Parameters:

data_typesList[SurfaceDataType] | List[str],: SurfaceDataType Enum members.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.
overset_meshbool, optional: Whether to get the overset met. The default is False.

Returns:

None

add_vector_fields_request(field_name, surfaces)#

Add request to get vector field data on surfaces.

Parameters:

field_namestr: Name of the vector field.
surfacesList[int | str]: List of surface IDS or surface names for the surface data.

Returns:

None

get_fields()#

Get data for previously added requests and then clear all requests.

Returns:

Dict[int, Dict[int, Dict[str, np.array]]]

Data is returned as dictionary of dictionaries in the following structure: tag int | Tuple-> surface_id [int] -> field_name [str] -> field_data[np.array]

The tag is a tuple for Fluent 2023 R1 or later.

exception ansys.fluent.core.services.field_data.FieldUnavailable#

Bases: RuntimeError

Raised when field is unavailable.

class ansys.fluent.core.services.field_data.ScalarFieldData(i_d, data)#

Bases: BaseFieldData

Contains scalar field data.

Classes:

ScalarData(data)

Stores and provides the data as a scalar.

Methods:

__init__(i_d, data)

__init__ method of ScalarFieldData class.

class ScalarData(data)#

Bases: object

Stores and provides the data as a scalar.

Methods:

__init__(data)

__init__ method of ScalarData class.

__init__(data)#: __init__ method of ScalarData class.

__init__(i_d, data)#: __init__ method of ScalarFieldData class.

class ansys.fluent.core.services.field_data.SurfaceDataType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)#