Jupyter Kernel dies when calling mapdl.mesh.grid and server connection crash

2014-1542 commented 2 years ago

Before submitting the issue

[X] I have searched among the existing issues
[X] I am using a Python virtual environment

Description of the bug

I am using pyAnsys (with Jupyter on VS Code) since several weeks now and two days ago I had a new issue with ansys.mapdl.core.mesh_grpc.MeshGrpc.grid. Sometimes when I called it the kernel died but it was not regular (sometimes on the first occurence sometimes on the second). I had no issues of memory so I decided to update all my libraries and try on PyCharm (unfortunately i did not saved the error message).

Now I have another issue when using the command mapdl.solve() the connection with the server ends with the following message:

"Traceback (most recent call last):
File "C:\Users\fougeron\AppData\Local\Programs\Python\Python39\lib\code.py", line 90, in runcode
exec(code, self.locals)
File "<input>", line 1, in <module>
File "C:\Users\myname\Datas\model\venv\lib\site-packages\ansys\mapdl\core\_commands\solution\analysis_options.py", line 3425, in solve
return self.run(command, **kwargs)
File "C:\Users\myname\Datas\ model \venv\lib\site-packages\ansys\mapdl\core\mapdl.py", line 2630, in run
text = self._run(command, verbose=verbose, mute=mute)
File "C:\Users\myname\Datas\ model \venv\lib\site-packages\ansys\mapdl\core\mapdl_grpc.py", line 736, in _run
response = self._send_command(cmd, mute=mute)
File "C:\Users\myname\Datas\ model \venv\lib\site-packages\ansys\mapdl\core\errors.py", line 138, in wrapper
raise MapdlExitedError("MAPDL server connection terminated") from None"

I guess that the update of my libraries was not a good idea. Here are the version of my libraries in my virtual environment:

aiohttp==3.8.1
aiosignal==1.2.0
ansys-api-mapdl==0.5.1
ansys-api-platform-instancemanagement==1.0.0b3
ansys-mapdl-core==0.63.1
ansys-mapdl-reader==0.51.11
ansys-platform-instancemanagement==1.0.2
anyio==3.6.1
appdirs==1.4.4
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.0.5
async-timeout==4.0.2
attrs==21.4.0
Babel==2.10.3
backcall==0.2.0
beautifulsoup4==4.11.1
bleach==5.0.0
certifi==2022.6.15
cffi==1.15.0
charset-normalizer==2.0.12
colorama==0.4.4
cycler==0.11.0
debugpy==1.6.0
decorator==5.1.1
defusedxml==0.7.1
entrypoints==0.4
executing==0.8.3
fastjsonschema==2.15.3
fonttools==4.33.3
frozenlist==1.3.0
geomdl==5.3.1
googleapis-common-protos==1.56.4
grpcio==1.46.1
idna==3.3
imageio==2.19.2
importlib-metadata==4.11.3
ipycanvas==0.12.0
ipyevents==2.0.1
ipykernel==6.13.0
ipython==8.3.0
ipython-genutils==0.2.0
ipyvtklink==0.2.2
ipywidgets==7.7.0
jedi==0.18.1
Jinja2==3.1.2
json5==0.9.9
jsonschema==4.5.1
jupyter==1.0.0
jupyter-client==7.3.1
jupyter-console==6.4.4
jupyter-core==4.11.1
jupyter-server==1.18.1
jupyterlab==3.4.5
jupyterlab-pygments==0.2.2
jupyterlab-server==2.15.0
jupyterlab-widgets==1.1.0
kiwisolver==1.4.2
MarkupSafe==2.1.1
matplotlib==3.5.2
matplotlib-inline==0.1.3
mistune==0.8.4
multidict==6.0.2
nbclassic==0.4.3
nbclient==0.5.13
nbconvert==6.5.0
nbformat==5.4.0
nest-asyncio==1.5.5
notebook==6.4.11
notebook-shim==0.1.0
numpy==1.23.2
packaging==21.3
pandocfilters==1.5.0
parso==0.8.3
pickleshare==0.7.5
Pillow==9.1.0
prometheus-client==0.14.1
prompt-toolkit==3.0.29
protobuf==3.20.1
protoc-gen-swagger==0.1.0
psutil==5.9.0
pure-eval==0.2.2
pycparser==2.21
Pygments==2.12.0
pyiges==0.2.1
pyparsing==3.0.9
pyrsistent==0.18.1
python-dateutil==2.8.2
pytz==2022.2.1
pyvista==0.36.1
pywin32==304
pywinpty==2.0.5
pyzmq==22.3.0
qtconsole==5.3.1
QtPy==2.2.0
requests==2.28.1
scipy==1.8.0
scooby==0.5.12
Send2Trash==1.8.0
six==1.16.0
sniffio==1.2.0
soupsieve==2.3.2.post1
stack-data==0.2.0
terminado==0.15.0
tinycss2==1.1.1
tornado==6.1
tqdm==4.64.0
traitlets==5.2.1.post0
urllib3==1.26.11
voila==0.3.6
vtk==9.1.0
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.3.3
websockets==10.3
widgetsnbextension==3.6.0
wslink==1.6.4
yarl==1.7.2
zipp==3.8.0

Any help would be highly appreciated !

### Steps To Reproduce

import os
import vtk
import math
import numpy as np
import pyvista as pv

### Launch MAPDL
from ansys.mapdl.reader import save_as_archive
from ansys.mapdl.core import launch_mapdl

mainfolder = os.getcwd()  # Set the current path as directory
jobfilename = 'Model_1'
mapdl = launch_mapdl(run_location=os.path.abspath(mainfolder), override=True, jobname=jobfilename, nproc=12,
                     clear_on_connect=1, additional_switches='-smp',
                     log_apdl=os.path.join(mainfolder, 'apdl' + "." + 'log'))

[...]

mapdl.allsel()
mapdl.slashsolu()
mapdl.solve()

Which Operating System are you using?

Windows

Which Python version are you using?

3.9

PyMAPDL Report

PyMAPDL Software and Environment Report

Packages Requirements

Core packages

ansys.mapdl.core : 0.63.1 numpy : 1.23.2 appdirs : 1.4.4 scipy : 1.8.0 grpc : Package not found ansys.api.mapdl.v0 : Package not found ansys.mapdl.reader : 0.51.11 google.protobuf : Package not found

Optional packages

matplotlib : 3.5.2 pyvista : 0.36.1 pyiges : 0.2.1 tqdm : 4.64.0

Ansys Installation

Version Location

202 C:\Program Files\ANSYS Inc\v202

Ansys Environment Variables

ANSYS202_DIR C:\Program Files\ANSYS Inc\v202\ANSYS ANSYS_SYSDIR winx64 AWP_ROOT202 C:\Program Files\ANSYS Inc\v202 CADOE_LIBDIR202 C:\Program Files\ANSYS Inc\v202\CommonFiles\Language\fr

Installed packages

aiohttp==3.8.1 aiosignal==1.2.0 ansys-api-mapdl==0.5.1 ansys-api-platform-instancemanagement==1.0.0b3 ansys-mapdl-core==0.63.1 ansys-mapdl-reader==0.51.11 ansys-platform-instancemanagement==1.0.2 anyio==3.6.1 appdirs==1.4.4 argon2-cffi==21.3.0 argon2-cffi-bindings==21.2.0 asttokens==2.0.5 async-timeout==4.0.2 attrs==21.4.0 Babel==2.10.3 backcall==0.2.0 beautifulsoup4==4.11.1 bleach==5.0.0 certifi==2022.6.15 cffi==1.15.0 charset-normalizer==2.0.12 colorama==0.4.4 cycler==0.11.0 debugpy==1.6.0 decorator==5.1.1 defusedxml==0.7.1 entrypoints==0.4 executing==0.8.3 fastjsonschema==2.15.3 fonttools==4.33.3 frozenlist==1.3.0 geomdl==5.3.1 googleapis-common-protos==1.56.4 grpcio==1.46.1 idna==3.3 imageio==2.19.2 importlib-metadata==4.11.3 ipycanvas==0.12.0 ipyevents==2.0.1 ipykernel==6.13.0 ipython==8.3.0 ipython-genutils==0.2.0 ipyvtklink==0.2.2 ipywidgets==7.7.0 jedi==0.18.1 Jinja2==3.1.2 json5==0.9.9 jsonschema==4.5.1 jupyter==1.0.0 jupyter-client==7.3.1 jupyter-console==6.4.4 jupyter-core==4.11.1 jupyter-server==1.18.1 jupyterlab==3.4.5 jupyterlab-pygments==0.2.2 jupyterlab-server==2.15.0 jupyterlab-widgets==1.1.0 kiwisolver==1.4.2 MarkupSafe==2.1.1 matplotlib==3.5.2 matplotlib-inline==0.1.3 mistune==0.8.4 multidict==6.0.2 nbclassic==0.4.3 nbclient==0.5.13 nbconvert==6.5.0 nbformat==5.4.0 nest-asyncio==1.5.5 notebook==6.4.11 notebook-shim==0.1.0 numpy==1.23.2 packaging==21.3 pandocfilters==1.5.0 parso==0.8.3 pickleshare==0.7.5 Pillow==9.1.0 prometheus-client==0.14.1 prompt-toolkit==3.0.29 protobuf==3.20.1 protoc-gen-swagger==0.1.0 psutil==5.9.0 pure-eval==0.2.2 pycparser==2.21 Pygments==2.12.0 pyiges==0.2.1 pyparsing==3.0.9 pyrsistent==0.18.1 python-dateutil==2.8.2 pytz==2022.2.1 pyvista==0.36.1 pywin32==304 pywinpty==2.0.5 pyzmq==22.3.0 qtconsole==5.3.1 QtPy==2.2.0 requests==2.28.1 scipy==1.8.0 scooby==0.5.12 Send2Trash==1.8.0 six==1.16.0 sniffio==1.2.0 soupsieve==2.3.2.post1 stack-data==0.2.0 terminado==0.15.0 tinycss2==1.1.1 tornado==6.1 tqdm==4.64.0 traitlets==5.2.1.post0 urllib3==1.26.11 voila==0.3.6 vtk==9.1.0 wcwidth==0.2.5 webencodings==0.5.1 websocket-client==1.3.3 websockets==10.3 widgetsnbextension==3.6.0 wslink==1.6.4 yarl==1.7.2 zipp==3.8.0

akaszynski commented 2 years ago

There's a variety of issues that might be causing this, but I'm leaning towards something like:

No nodes selected (fix with mapdl.allsel)
Some weird solver issue. Check the output of <jobname>.err. If you're using the default temporary directory, check mapdl.directory right before you issue the solve command to make sure you can navigate to the MAPDL working directory before the crash.
Genuine issue with the gRPC connection, in which case, we'll have to see the python script and attempt to reproduce the bug on our end.

germa89 commented 1 year ago

Closing this issue because there is not enough details to replicate it. If new info arises, feel free to reopen this issue.

ansys / pymapdl