field_data.get_surface_data function return a too complex object

[RebelYoung]

🔍 Before submitting the issue

• I have searched among the existing issues
• I am using a Python virtual environment

🐞 Description of the bug

I can not use my code after 0.14.dev1 for the complex object from field_data.get_surface_data function.
Before 0.14.dev1, the function just return a Dict as {id,list}.
So I have codes as

AF = field_data.get_surface_data(surface_name=AN, data_type=1)
id = surfaces_info[AN]['surface_id'][0]
N = int(AF[id].shape[0] / 3)

After 0.13, it returns as

Union[
        Union[Vertices, FacesConnectivity, FacesNormal, FacesCentroid],
        Dict[int, Union[Vertices, FacesConnectivity, FacesNormal, FacesCentroid]]

It is too difficult to get the data.
This data type is encapsulated in a highly complex manner, making it extremely difficult to use.

📝 Steps to reproduce

AF = field_data.get_surface_data(surface_name=AN, data_type=1)
AF changed from a Dict into ansys.fluent.core.services.field_data.Vertices
I can get help from help(AF), I just need the data.

💻 Which operating system are you using?

Windows

📀 Which ANSYS version are you using?

2022R2

🐍 Which Python version are you using?

3.8

📦 Installed packages

aiofiles==22.1.0
aiohttp==3.8.4
aiosignal==1.3.1
aiosqlite==0.18.0
ansys-api-fluent==0.3.11
ansys-api-platform-instancemanagement==1.0.0b3
ansys-fluent-core==0.13.0
ansys-fluent-visualization==0.7.1
ansys-platform-instancemanagement==1.0.3
anyio==3.6.2
appdirs==1.4.4
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
arrow==1.2.3
asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1670263926556/work
async-timeout==4.0.2
attrs==22.2.0
Babel==2.12.1
backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
beautifulsoup4==4.11.2
bleach==6.0.0
certifi==2022.12.7
cffi==1.15.1
charset-normalizer==3.0.1
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
contourpy==1.0.7
cycler==0.11.0
debugpy @ file:///C:/ci/debugpy_1637073815078/work
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
defusedxml==0.7.1
executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1667317341051/work
fastjsonschema==2.16.3
fonttools==4.38.0
fqdn==1.5.1
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geatpy==2.7.0
googleapis-common-protos==1.58.0
grpcio==1.51.3
h5py==3.8.0
idna==3.4
imageio==2.28.1
importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1672612343532/work
importlib-resources==5.12.0
ipykernel @ file:///D:/bld/ipykernel_1655369313836/work
ipython @ file:///D:/bld/ipython_1676047671725/work
ipython-genutils==0.2.0
ipywidgets==8.0.6
isoduration==20.11.0
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1669134318875/work
Jinja2==3.1.2
json5==0.9.11
jsonpointer==2.3
jsonschema==4.17.3
jupyter-events==0.6.3
jupyter-ydoc==0.2.2
jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1676579893731/work
jupyter_core @ file:///D:/bld/jupyter_core_1675110077853/work
jupyter_server==2.3.0
jupyter_server_fileid==0.8.0
jupyter_server_terminals==0.4.4
jupyter_server_ydoc==0.6.1
jupyterlab==3.6.1
jupyterlab-pygments==0.2.2
jupyterlab-widgets==3.0.7
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kiwisolver==1.4.4
lxml==4.9.2
MarkupSafe==2.1.2
matplotlib==3.7.0
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1660814786464/work
mccabe==0.7.0
mistune==2.0.5
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nbclassic==0.5.2
nbclient==0.7.2
nbconvert==7.2.9
nbformat==5.7.3
nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1664684991461/work
notebook==6.5.2
notebook_shim==0.2.2
numpy==1.24.2
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1673482170163/work
pandas==1.5.3
pandocfilters==1.5.0
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1638334955874/work
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
Pillow==9.4.0
pkgutil_resolve_name==1.3.10
platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1675735718929/work
pointwise-glyph-client==2.0.10
pooch==1.7.0
prometheus-client==0.16.0
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1670414775770/work
protobuf==3.20.3
protoc-gen-swagger==0.1.0
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pure-eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1642875951954/work
pycodestyle==2.10.0
pycparser==2.21
pyflakes==3.0.1
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1672682006896/work
pyparsing==3.0.9
pyrsistent==0.19.3
PySide6==6.5.0
PySide6-Addons==6.5.0
PySide6-Essentials==6.5.0
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
python-json-logger==2.0.7
pytz==2022.7.1
pyvista==0.39.0
pyvistaqt==0.10.0
pywin32==227
pywinpty==2.0.10
PyYAML==6.0
pyzmq==25.0.0
QtPy==2.3.1
requests==2.28.2
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
scipy==1.10.1
scooby==0.7.2
Send2Trash==1.8.0
shiboken6==6.5.0
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
sniffio==1.3.0
soupsieve==2.4
stack-data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1669632077133/work
terminado==0.17.1
tinycss2==1.2.1
tomli==2.0.1
tornado @ file:///D:/bld/tornado_1656937958156/work
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1675110562325/work
trame==2.4.2
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typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1665144421445/work
uri-template==1.2.0
urllib3==1.26.14
vtk==9.2.6
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1673864653149/work
webcolors==1.12
webencodings==0.5.1
websocket-client==1.5.1
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y-py==0.5.9
yapf==0.32.0
yarl==1.9.2
ypy-websocket==0.8.2
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1676708471276/work

[seanpearsonuk]

@RebelYoung we reserve the bug label for defective behaviour, and we don't use it for features that work as designed.

The documentation provides some explanation and examples, as well as the tests and the pull request.

cc: @ajain-work @prmukherj

[dnwillia-work]

I think you mean this: https://fluent.docs.pyansys.com/version/stable/api/general/fielddata.html#

[seanpearsonuk]

Yes, thanks, it used to be under solver until it became general due to meshing coverage.