from functools import partial
from typing import Optional, Union
import numpy as np
import pyvista as pv
from ...post import loadODB
from ...utils import gram_schmidt
from .plot_resp_base import PlotResponseBase
from .plot_utils import (
PLOT_ARGS,
# _plot_lines_cmap,
_plot_face_cmap,
_plot_lines,
_update_point_label_actor,
)
class PlotTrussResponse(PlotResponseBase):
def __init__(self, model_info_steps, truss_resp_step, model_update):
super().__init__(model_info_steps, truss_resp_step, model_update)
def _get_truss_data(self, step):
return self._get_model_da("TrussData", step)
def _set_resp_type(self, resp_type: str):
if resp_type.lower() in ["axialforce", "force"]:
resp_type = "axialForce"
elif resp_type.lower() in ["axialdefo", "axialdeformation", "deformation"]:
resp_type = "axialDefo"
elif resp_type.lower() in ["stress", "axialstress"]:
resp_type = "Stress"
elif resp_type.lower() in ["strain", "axialstrain"]:
resp_type = "Strain"
else:
raise ValueError( # noqa: TRY003
f"Not supported response type {resp_type}!Valid options are: axialForce, axialDefo, Stress, Strain."
)
self.resp_type = resp_type
def _make_truss_info(self, ele_tags, step):
pos = self._get_node_da(step).to_numpy()
truss_data = self._get_truss_data(step)
if ele_tags is None:
truss_tags = truss_data.coords["eleTags"].values
truss_cells = truss_data.to_numpy().astype(int)
else:
truss_tags = np.atleast_1d(ele_tags)
truss_cells = truss_data.sel(eleTags=truss_tags).to_numpy().astype(int)
truss_node_coords = []
truss_cells_new = []
for i, cell in enumerate(truss_cells):
nodei, nodej = cell[1:]
truss_node_coords.append(pos[nodei])
truss_node_coords.append(pos[nodej])
truss_cells_new.append([2, 2 * i, 2 * i + 1])
truss_node_coords = np.array(truss_node_coords)
return truss_tags, truss_node_coords, truss_cells_new
def refactor_resp_step(self, resp_type: str, ele_tags):
self._set_resp_type(resp_type)
resps = []
if self.ModelUpdate or ele_tags is not None:
for i in range(self.num_steps):
truss_tags, _, _ = self._make_truss_info(ele_tags, i)
da = self._get_resp_da(i, self.resp_type)
da = da.sel(eleTags=truss_tags)
resps.append(da)
else:
for i in range(self.num_steps):
da = self._get_resp_da(i, self.resp_type)
resps.append(da)
self.resp_step = resps # update
def _get_resp_peak(self, idx="absMax"):
if isinstance(idx, str):
if idx.lower() == "absmax":
resp = [np.max(np.abs(data)) for data in self.resp_step]
step = np.argmax(resp)
elif idx.lower() == "max":
resp = [np.max(data) for data in self.resp_step]
step = np.argmax(resp)
elif idx.lower() == "absmin":
resp = [np.min(np.abs(data)) for data in self.resp_step]
step = np.argmin(resp)
elif idx.lower() == "min":
resp = [np.min(data) for data in self.resp_step]
step = np.argmin(resp)
else:
raise ValueError("Invalid argument, one of [absMax, absMin, Max, Min]") # noqa: TRY003
else:
step = int(idx)
resp = self.resp_step[step]
maxv = np.amax(np.abs(resp))
alpha_ = 0.0 if maxv == 0 else self.max_bound_size * self.pargs.scale_factor / maxv
cmin, cmax = self._get_truss_resp_clim()
return step, (cmin, cmax), float(alpha_)
def _get_truss_resp_clim(self):
maxv = [np.max(data) for data in self.resp_step]
minv = [np.min(data) for data in self.resp_step]
cmin, cmax = np.min(minv), np.max(maxv)
return cmin, cmax
def _make_title(self, scalars, step, time):
if len(scalars) == 0:
scalars = np.array([0.0])
info = {
"title": "Truss",
"resp_type": self.resp_type.capitalize(),
"min": np.min(scalars),
"max": np.max(scalars),
"step": step,
"time": time,
}
lines = [
f"* {info['title']} Responses",
f"* {info['resp_type']}",
f"{info['min']:.3E} (min)",
f"{info['max']:.3E} (max)",
f"{info['step']}(step); {info['time']:.3f}(time)",
]
if self.unit_symbol:
info["unit"] = self.unit_symbol
lines.insert(2, f"{info['unit']} (unit)")
max_len = max(len(line) for line in lines)
padded_lines = [line.rjust(max_len) for line in lines]
text = "\n".join(padded_lines)
return text + "\n"
def _get_mesh_data(self, step, alpha, ele_tags):
n_segs = 10
truss_tags, truss_coords, truss_cells = self._make_truss_info(ele_tags, step)
resps = self.resp_step[step].to_numpy()
resp_points, resp_cells = [], []
scalars = []
label_points, labels = [], []
for cell, resp in zip(truss_cells, resps):
coord1 = np.array(truss_coords[cell[1]])
coord2 = np.array(truss_coords[cell[2]])
xaxis = coord2 - coord1
length = np.linalg.norm(xaxis)
xaxis = xaxis / length
cos_theta = np.dot(xaxis, [0, 0, 1])
if 1 - cos_theta**2 < 1e-4:
axis_up = [1, 0, 0]
elif self.show_zaxis:
axis_up = [0, 0, 1]
else:
axis_up = [0, 1, 0]
_, plot_axis, _ = gram_schmidt(xaxis, axis_up)
coord3 = coord1 + alpha * resp * plot_axis
coord4 = coord2 + alpha * resp * plot_axis
coord_upper = [coord3 + length * i * xaxis / n_segs for i in range(n_segs)]
coord_upper += [coord4]
coord_lower = [coord1 + length * i * xaxis / n_segs for i in range(n_segs)]
coord_lower += [coord2]
for i in range(len(coord_upper) - 1):
resp_cells.append([
4,
len(resp_points),
len(resp_points) + 1,
len(resp_points) + 2,
len(resp_points) + 3,
])
resp_points.extend([coord_lower[i], coord_lower[i + 1], coord_upper[i + 1], coord_upper[i]])
scalars.extend([resp, resp, resp, resp])
label_points.append((coord3 + coord4) / 2)
labels.append(resp)
fmt = self.pargs.scalar_bar_kargs["fmt"]
labels = [f"{fmt}" % label for label in labels]
label_points = np.array(label_points)
resp_points = np.array(resp_points)
scalars = np.array(scalars)
return truss_coords, truss_cells, scalars, resp_points, resp_cells, labels, label_points
def _create_mesh(
self,
plotter,
value,
ele_tags=None,
show_values=True,
plot_all_mesh=True,
clim=None,
alpha=1.0,
line_width=1.5,
style="surface",
color=None,
opacity=1.0,
cpos="iso",
show_outline=False,
show_bc: bool = True,
bc_scale: float = 1.0,
show_mp_constraint: bool = False,
):
step = round(value)
truss_coords, truss_cells, scalars, resp_points, resp_cells, labels, label_points = self._get_mesh_data(
step, alpha, ele_tags
)
# ---------------------------------
plotter.clear_actors() # !!!!!!
if plot_all_mesh:
self._plot_all_mesh(plotter, color="gray", step=step)
line_grid = _plot_lines(
plotter,
pos=truss_coords,
cells=truss_cells,
width=self.pargs.line_width,
color=self.pargs.color_truss,
render_lines_as_tubes=self.pargs.render_lines_as_tubes,
)
opacity = 1.0 if style.lower() != "surface" else opacity
resp_grid = _plot_face_cmap(
plotter,
resp_points,
resp_cells,
scalars,
color=color,
cmap=self.pargs.cmap,
clim=clim,
show_edges=False,
edge_width=line_width,
opacity=opacity,
style=style,
show_scalar_bar=False,
)
title = self._make_title(scalars, step, self.time[step])
scalar_bar = plotter.add_scalar_bar(title=title, **self.pargs.scalar_bar_kargs) if color is None else None
if scalar_bar:
title_prop = scalar_bar.GetTitleTextProperty()
title_prop.SetJustificationToRight()
title_prop.BoldOn()
title_grid = (
None
if scalar_bar
else plotter.add_text(title, position="upper_right", font_size=self.pargs.font_size - 2, font="courier")
)
if show_values:
label_grid = plotter.add_point_labels(
label_points,
labels,
# text_color="white",
font_size=self.pargs.font_size,
font_family="courier",
bold=False,
always_visible=False,
shape=None,
shape_opacity=0.0,
show_points=False,
)
else:
label_grid = None
if show_outline:
self._plot_outline(plotter)
bc_grid, mp_grid = None, None
if show_bc:
bc_grid = self._plot_bc(plotter, step, defo_scale=0.0, bc_scale=bc_scale)
if show_mp_constraint:
mp_grid = self._plot_mp_constraint(plotter, step, defo_scale=0.0)
self._update_plotter(plotter, cpos=cpos)
return line_grid, resp_grid, scalar_bar, title_grid, label_grid, bc_grid, mp_grid
def _update_mesh(
self,
step,
alpha,
ele_tags,
line_grid,
resp_grid,
scalar_bar,
title_grid,
label_grid,
bc_grid,
mp_grid,
bc_scale,
plotter,
):
step = round(step)
truss_coords, truss_cells, scalars, resp_points, resp_cells, labels, label_points = self._get_mesh_data(
step, alpha, ele_tags
)
if line_grid:
line_grid.points = truss_coords
line_grid.lines = truss_cells
if resp_grid:
resp_grid.points = resp_points
# resp_grid.lines = resp_cells
resp_grid.faces = resp_cells
resp_grid["scalars"] = scalars
if scalar_bar:
title = self._make_title(scalars, step, self.time[step])
scalar_bar.SetTitle(title)
if title_grid:
title_grid.SetText(3, self._make_title(scalars, step, self.time[step]))
if label_grid:
# mapper = label_plot.GetMapper()
text_property = pv.TextProperty(
bold=False,
font_size=self.pargs.font_size,
font_family="courier",
color=pv.global_theme.font.color,
)
_update_point_label_actor(
label_grid,
label_points,
labels,
text_property=text_property,
renderer=plotter.renderer,
shape_opacity=0.0,
always_visible=False,
)
if mp_grid:
self._plot_mp_constraint_update(mp_grid, step, defo_scale=0.0)
if bc_grid:
self._plot_bc_update(bc_grid, step, defo_scale=0.0, bc_scale=bc_scale)
def plot_slide(
self,
plotter,
ele_tags=None,
show_values=True,
alpha=1.0,
line_width=1.5,
style="surface",
opacity=1.0,
cpos="iso",
plot_model=True,
show_bc: bool = True,
bc_scale: float = 1.0,
show_mp_constraint: bool = True,
show_outline=False,
color=None,
):
_, clim, alpha_ = self._get_resp_peak()
if self.ModelUpdate:
func = partial(
self._create_mesh,
plotter,
ele_tags=ele_tags,
clim=clim,
plot_all_mesh=plot_model,
show_values=show_values,
alpha=alpha * alpha_,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
show_outline=show_outline,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
color=color,
)
else:
line_grid, resp_grid, scalar_bar, title_grid, label_grid, bc_grid, mp_grid = self._create_mesh(
plotter,
self.num_steps - 1,
ele_tags=ele_tags,
clim=clim,
plot_all_mesh=plot_model,
show_values=show_values,
alpha=alpha * alpha_,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
show_outline=show_outline,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
color=color,
)
func = partial(
self._update_mesh,
alpha=alpha * alpha_,
ele_tags=ele_tags,
line_grid=line_grid,
resp_grid=resp_grid,
scalar_bar=scalar_bar,
title_grid=title_grid,
label_grid=label_grid,
bc_grid=bc_grid,
mp_grid=mp_grid,
bc_scale=bc_scale,
plotter=plotter,
)
plotter.add_slider_widget(func, [0, self.num_steps - 1], value=self.num_steps - 1, **self.slider_widget_args)
def plot_peak_step(
self,
plotter,
ele_tags=None,
step="absMax",
show_values=True,
alpha=1.0,
line_width=1.5,
style="surface",
opacity=1.0,
cpos="iso",
plot_model=True,
show_bc: bool = True,
bc_scale: float = 1.0,
show_mp_constraint: bool = True,
show_outline=False,
color=None,
):
step, clim, alpha_ = self._get_resp_peak(idx=step)
self._create_mesh(
plotter=plotter,
value=step,
ele_tags=ele_tags,
show_values=show_values,
clim=clim,
plot_all_mesh=plot_model,
alpha=alpha * alpha_,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
show_outline=show_outline,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
color=color,
)
def plot_anim(
self,
plotter,
ele_tags=None,
show_values=True,
alpha=1.0,
framerate: Optional[int] = None,
savefig: str = "TrussRespAnimation.gif",
line_width=1.5,
style="surface",
opacity=1.0,
cpos="iso",
plot_model=True,
show_bc: bool = True,
bc_scale: float = 1.0,
show_mp_constraint: bool = True,
show_outline=False,
color=None,
):
if framerate is None:
framerate = np.ceil(self.num_steps / 10)
if savefig.endswith(".gif"):
plotter.open_gif(savefig, fps=framerate)
else:
plotter.open_movie(savefig, framerate=framerate)
_, clim, alpha_ = self._get_resp_peak()
# plotter.write_frame() # write initial data
if self.ModelUpdate:
for step in range(self.num_steps):
self._create_mesh(
plotter,
step,
ele_tags=ele_tags,
show_values=show_values,
clim=clim,
plot_all_mesh=plot_model,
alpha=alpha * alpha_,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
show_outline=show_outline,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
color=color,
)
plotter.write_frame()
else:
line_grid, resp_grid, scalar_bar, title_grid, label_grid, bc_grid, mp_grid = self._create_mesh(
plotter,
0,
ele_tags=ele_tags,
clim=clim,
plot_all_mesh=plot_model,
show_values=show_values,
alpha=alpha * alpha_,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
show_outline=show_outline,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
color=color,
)
plotter.write_frame()
for step in range(1, self.num_steps):
self._update_mesh(
step=step,
alpha=alpha * alpha_,
ele_tags=ele_tags,
line_grid=line_grid,
resp_grid=resp_grid,
scalar_bar=scalar_bar,
title_grid=title_grid,
label_grid=label_grid,
bc_grid=bc_grid,
mp_grid=mp_grid,
bc_scale=bc_scale,
plotter=plotter,
)
plotter.write_frame()
[docs]
def plot_truss_responses(
odb_tag: Union[int, str] = 1,
ele_tags: Optional[Union[int, list]] = None,
slides: bool = False,
step: Union[int, str] = "absMax",
show_values: bool = True,
resp_type: str = "axialForce",
color: Optional[str] = None,
unit_symbol: Optional[str] = None,
unit_factor: Optional[float] = None,
alpha: float = 1.0,
style: str = "surface",
line_width: float = 1.5,
opacity: float = 1.0,
show_bc: bool = True,
bc_scale: float = 1.0,
show_mp_constraint: bool = False,
show_outline: bool = False,
cpos: str = "iso",
show_model: bool = True,
) -> pv.Plotter:
"""Visualizing Truss Response.
Parameters
----------
odb_tag: Union[int, str], default: 1
Tag of output databases (ODB) to be visualized.
ele_tags: Union[int, list], default: None
The tags of truss elements to be visualized. If None, all truss elements are selected.
slides: bool, default: False
Display the response for each step in the form of a slideshow.
Otherwise, show the step with the following ``step`` parameter.
step: Union[int, str], default: "absMax"
If slides = False, this parameter will be used as the step to plot.
If str, Optional: [absMax, absMin, Max, Min].
If int, this step will be demonstrated (counting from 0).
show_values: bool, default: True
Whether to display the response value.
resp_type: str, default: "axialForce"
Response type, optional, one of ["axialForce", "axialDefo", "Stress", "Strain"].
color: str, default: None
Single color of the response graph.
If None, the colormap will be used.
unit_symbol: str, default: None
Unit symbol to be displayed in the plot.
unit_factor: float, default: None
The multiplier used to convert units.
For example, if you want to visualize stress and the current data unit is kPa, you can set ``unit_symbol="kPa" and unit_factor=1.0``.
If you want to visualize in MPa, you can set ``unit_symbol="MPa" and unit_factor=0.001``.
alpha: float, default: 1.0
Scale the size of the response graph.
.. Note::
You can adjust the scale to make the response graph more visible.
A negative number will reverse the direction.
style: str, default: "surface
Display style for responses plot, optional, one of ["surface", "wireframe"]
line_width: float, default: 1.5.
Line width of the response graph when style="wireframe".
opacity: float, default: 1.0
Face opacity when style="surface".
cpos: str, default: iso
Model display perspective, optional: "iso", "xy", "yx", "xz", "zx", "yz", "zy".
If 3d, defaults to "iso". If 2d, defaults to "xy".
show_model: bool, default: True
Whether to plot the all model or not.
show_bc: bool, default: True
Whether to display boundary supports.
bc_scale: float, default: 1.0
Scale the size of boundary support display.
show_mp_constraint: bool, default: False
Whether to show multipoint (MP) constraint.
show_outline: bool, default: False
Whether to display the outline of the model.
Returns
-------
Plotting object of PyVista to display vtk meshes or numpy arrays.
See `pyvista.Plotter <https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter>`_.
You can use
`Plotter.show <https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter.show#pyvista.Plotter.show>`_.
to display the plotting window.
You can also use
`Plotter.export_html <https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter.export_html#pyvista.Plotter.export_html>`_.
to export this plotter as an interactive scene to an HTML file.
"""
model_info_steps, model_update, truss_resp_step = loadODB(odb_tag, resp_type="Truss")
plotter = pv.Plotter(
notebook=PLOT_ARGS.notebook, line_smoothing=PLOT_ARGS.line_smoothing, off_screen=PLOT_ARGS.off_screen
)
plotbase = PlotTrussResponse(model_info_steps, truss_resp_step, model_update)
plotbase.set_unit(symbol=unit_symbol, factor=unit_factor)
plotbase.refactor_resp_step(resp_type=resp_type, ele_tags=ele_tags)
if slides:
plotbase.plot_slide(
plotter,
ele_tags=ele_tags,
show_values=show_values,
alpha=alpha,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
plot_model=show_model,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
show_outline=show_outline,
color=color,
)
else:
plotbase.plot_peak_step(
plotter,
ele_tags=ele_tags,
step=step,
show_values=show_values,
alpha=alpha,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
plot_model=show_model,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
show_outline=show_outline,
color=color,
)
if PLOT_ARGS.anti_aliasing:
plotter.enable_anti_aliasing(PLOT_ARGS.anti_aliasing)
return plotbase._update_plotter(plotter, cpos)
[docs]
def plot_truss_responses_animation(
odb_tag: Union[int, str] = 1,
ele_tags: Optional[Union[int, list]] = None,
framerate: Optional[int] = None,
savefig: str = "TrussRespAnimation.gif",
off_screen: bool = True,
show_values: bool = False,
resp_type: str = "axialForce",
color: Optional[str] = None,
unit_symbol: Optional[str] = None,
unit_factor: Optional[float] = None,
alpha: float = 1.0,
style: str = "surface",
line_width: float = 1.5,
opacity: float = 1.0,
cpos: str = "iso",
show_model: bool = True,
show_bc: bool = True,
bc_scale: float = 1.0,
show_mp_constraint: bool = False,
show_outline: bool = False,
) -> pv.Plotter:
"""Truss response animation.
Parameters
----------
odb_tag: Union[int, str], default: 1
Tag of output databases (ODB) to be visualized.
ele_tags: Union[int, list], default: None
The tags of truss elements to be visualized. If None, all truss elements are selected.
framerate: int, default: None
Framerate for the display, i.e., the number of frames per second.
savefig: str, default: TrussRespAnimation.gif
Path to save the animation. The suffix can be ``.gif`` or ``.mp4``.
off_screen: bool, default: True
Whether to display the plotting window.
If True, the plotting window will not be displayed.
show_values: bool, default: False
Whether to display the response value.
resp_type: str, default: "axialForce"
Response type, optional, one of ["axialForce", "axialDefo", "Stress", "Strain"].
color: str, default: None
Single color of the response graph.
If None, the colormap will be used.
unit_symbol: str, default: None
Unit symbol to be displayed in the plot.
unit_factor: float, default: None
The multiplier used to convert units.
For example, if you want to visualize stress and the current data unit is kPa, you can set ``unit_symbol="kPa" and unit_factor=1.0``.
If you want to visualize in MPa, you can set ``unit_symbol="MPa" and unit_factor=0.001``.
alpha: float, default: 1.0
Scale the size of the response graph.
.. Note::
You can adjust the scale to make the response graph more visible.
A negative number will reverse the direction.
style: str, default: "surface
Display style for responses plot, optional, one of ["surface", "wireframe"]
line_width: float, default: 1.5.
Line width of the response graph when style="wireframe".
opacity: float, default: 1.0
Face opacity when style="surface".
cpos: str, default: iso
Model display perspective, optional: "iso", "xy", "yx", "xz", "zx", "yz", "zy".
If 3d, defaults to "iso". If 2d, defaults to "xy".
show_model: bool, default: True
Whether to plot the all model or not.
show_bc: bool, default: True
Whether to display boundary supports.
bc_scale: float, default: 1.0
Scale the size of boundary support display.
show_mp_constraint: bool, default: False
Whether to show multipoint (MP) constraint.
show_outline: bool, default: False
Whether to display the outline of the model.
Returns
-------
Plotting object of PyVista to display vtk meshes or numpy arrays.
See `pyvista.Plotter <https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter>`_.
You can use
`Plotter.show <https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter.show#pyvista.Plotter.show>`_.
to display the plotting window.
You can also use
`Plotter.export_html <https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter.export_html#pyvista.Plotter.export_html>`_.
to export this plotter as an interactive scene to an HTML file.
"""
model_info_steps, model_update, truss_resp_step = loadODB(odb_tag, resp_type="Truss")
plotter = pv.Plotter(notebook=PLOT_ARGS.notebook, line_smoothing=PLOT_ARGS.line_smoothing, off_screen=off_screen)
plotbase = PlotTrussResponse(model_info_steps, truss_resp_step, model_update)
plotbase.set_unit(symbol=unit_symbol, factor=unit_factor)
plotbase.refactor_resp_step(resp_type=resp_type, ele_tags=ele_tags)
plotbase.plot_anim(
plotter,
ele_tags=ele_tags,
show_values=show_values,
alpha=alpha,
framerate=framerate,
savefig=savefig,
line_width=line_width,
style=style,
opacity=opacity,
cpos=cpos,
plot_model=show_model,
show_bc=show_bc,
bc_scale=bc_scale,
show_mp_constraint=show_mp_constraint,
show_outline=show_outline,
color=color,
)
if PLOT_ARGS.anti_aliasing:
plotter.enable_anti_aliasing(PLOT_ARGS.anti_aliasing)
print(f"Animation has been saved as {savefig}!")
return plotbase._update_plotter(plotter, cpos)