def disable_off_screen_rendering() -> None:
"""No pop up windows appears to plot data with ``matplotlib`` or ``pyvista``"""
# enable matplotlib off_screen plotting to avoid test interruption
if module_exists("matplotlib"):
import matplotlib as mpl
mpl.use("Agg")
# enable off_screen plotting to avoid test interruption
if module_exists("pyvista"):
import pyvista as pv
pv.OFF_SCREEN = True
def set_default_pyvista_config():
# Configure PyVista's ``rcParams`` for dpf
if module_exists("pyvista"):
import pyvista as pv
pv.rcParams["interactive"] = True
pv.rcParams["cmap"] = "jet"
pv.rcParams["font"]["family"] = "courier"
pv.rcParams["title"] = "DPF"
def disable_interpreter_properties_evaluation() -> bool:
"""If ``jedi`` module is installed (autocompletion module for most of IDEs), disables the
property evaluation when tab key is pressed.
To use in Jupyter Notebook if autocompletion becomes slow.
Returns
-------
bool
Whether disabling the capability has been possible.
"""
if module_exists("jedi"):
import jedi
jedi.Interpreter._allow_descriptor_getattr_default = False
return True
return False
"""This runs at the init of the pytest session
Launch or connect to a persistent local DPF service to be shared in
pytest as a session fixture
"""
from ansys.dpf import core
from ansys.dpf.core.misc import module_exists
# enable matplotlib off_screen plotting to avoid test interruption
if module_exists("matplotlib"):
import matplotlib as mpl
mpl.use("Agg")
# enable off_screen plotting to avoid test interruption
core.settings.disable_off_screen_rendering()
import pytest
from ansys import dpf
from ansys.dpf import core
from ansys.dpf.core import Model, Operator
from ansys.dpf.core import errors as dpf_errors
from ansys.dpf.core import misc
from conftest import running_docker
if misc.module_exists("pyvista"):
HAS_PYVISTA = True
from ansys.dpf.core.plotter import Plotter as DpfPlotter
from pyvista.plotting.renderer import CameraPosition # noqa: F401
else:
HAS_PYVISTA = False
@pytest.mark.skipif(not HAS_PYVISTA, reason="Please install pyvista")
def test_chart_plotter(plate_msup):
model = Model(plate_msup)
mesh = model.metadata.meshed_region
tfq = model.metadata.time_freq_support
timeids = list(range(1, tfq.n_sets + 1))
disp = model.results.displacement()
disp.inputs.time_scoping.connect(timeids)
new_fields_container = disp.get_output(0, dpf.core.types.fields_container)
pl = DpfPlotter(model.metadata.meshed_region)
ret = pl.plot_chart(new_fields_container)
assert ret