def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create and setup the default objects.
self.seed = SourceWidget()
self.stream_tracer = tvtk.StreamTracer(
maximum_propagation=50,
integration_direction='forward',
compute_vorticity=True,
integrator_type='runge_kutta4',
)
self.ribbon_filter = tvtk.RibbonFilter()
self.tube_filter = tvtk.TubeFilter()
self.clean_filter = tvtk.CleanPolyData()
self.actor = Actor()
# Setup the actor suitably for this module.
self.actor.property.line_width = 2.0
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the objects and set them up.
self.implicit_plane = ImplicitPlane()
self.cutter = Cutter()
self.glyph = Glyph(module=self,
scale_mode='scale_by_vector',
color_mode='color_by_vector',
show_scale_mode=False)
self.glyph.glyph_source.glyph_position = 'tail'
actor = self.actor = Actor()
actor.mapper.scalar_visibility = 1
actor.property.trait_set(line_width=2,
backface_culling=False,
frontface_culling=False)
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
self.widget.on_trait_change(self._start_position_changed)
self.streamline = tvtk.HyperStreamline()
self.streamline.start_position = self.widget.position
self.streamline.integrate_minor_eigenvector()
self.streamline.maximum_propagation_distance = 10.0
self.streamline.integration_step_length = 0.1
self.streamline.step_length = 0.01
self.streamline.radius = 0.25
self.streamline.number_of_sides = 18
self.streamline.integration_direction = 2 #integrate both direction
self.streamline.on_trait_change(self.render)
self.actor = Actor()
self.widgets.append(self.widget)
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
self.vector_text = tvtk.VectorText(text=self.text)
self.outputs = [self.vector_text]
self.actor = Actor()
self._text_changed(self.text)
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the components
self.grid_plane = GridPlane()
self.contour = Contour(auto_contours=True, number_of_contours=10)
self.actor = Actor()
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Setup the glyphs.
self.glyph = glyph.Glyph(glyph_type='tensor')
self.glyph.glyph_source.glyph_source = self.glyph.glyph_source.glyph_list[
4]
self.actor = Actor()
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# When any trait on the outline filters change call the render
# method.
self._full_outline.on_trait_change(self.render)
self._cornered_outline.on_trait_change(self.render)
self.actor = Actor()
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the components
self.contour = Contour(show_filled_contours=False)
self.normals = PolyDataNormals()
self.actor = Actor()
# Setup the actor suitably for this module.
self.actor.mapper.scalar_visibility = 1
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the objects and set them up.
self.implicit_plane = ImplicitPlane()
self.cutter = Cutter()
self.warp_vector = WarpVector()
self.normals = PolyDataNormals()
actor = self.actor = Actor()
actor.mapper.scalar_visibility = 1
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the components
self.grid_plane = grid_plane.GridPlane()
self.actor = Actor()
# Setup the actor suitably for this module.
prop = self.actor.property
prop.set(backface_culling=0, frontface_culling=0, representation='w')
self.actor.mapper.scalar_visibility = 0
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the components and set them up.
self.implicit_plane = ImplicitPlane()
ex = tvtk.ExtractGeometry(extract_only_boundary_cells=1,
extract_boundary_cells=1)
self.extract_geometry = ex
self.geom_filter = tvtk.GeometryFilter()
# Setup the actor suitably for this module.
self.actor = Actor()
self.actor.property.representation = 'w'
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Create the objects.
self.implicit_plane = ImplicitPlane()
self.cutter = Cutter()
self.contour = Contour(auto_contours=True, number_of_contours=10)
self.warp_scalar = WarpScalar()
self.normals = PolyDataNormals()
self.actor = Actor()
# Setup the actor suitably for this module.
prop = self.actor.property
prop.line_width = 2.0
def setup_pipeline(self):
"""Override this method so that it *creates* the tvtk
pipeline.
This method is invoked when the object is initialized via
`__init__`. Note that at the time this method is called, the
tvtk data pipeline will *not* yet be setup. So upstream data
will not be available. The idea is that you simply create the
basic objects and setup those parts of the pipeline not
dependent on upstream sources and filters. You should also
set the `actors` attribute up at this point.
"""
# Setup the glyphs.
self.glyph = glyph.Glyph(scale_mode='scale_by_scalar',
color_mode='color_by_scalar',
show_scale_mode=True)
# Create the components
actor = self.actor = Actor()
actor.mapper.scalar_visibility = 1
actor.property.set(line_width=2,
backface_culling=False,
frontface_culling=False)
def setup_pipeline(self):
self.outline_filter = tvtk.StructuredGridOutlineFilter()
self.actor = Actor()
def do(self):
############################################################
# Imports.
script = self.script
from mayavi.filters.optional import Optional
from mayavi.filters.warp_scalar import WarpScalar
from mayavi.filters.cut_plane import CutPlane
from mayavi.components.poly_data_normals import PolyDataNormals
from mayavi.components.contour import Contour
from mayavi.components.actor import Actor
from mayavi.modules.generic_module import GenericModule
from mayavi.sources.vtk_xml_file_reader import VTKXMLFileReader
############################################################
# Create a new scene and set up the visualization.
s = self.new_scene()
# Read a VTK (old style) data file.
r = VTKXMLFileReader()
r.initialize(get_example_data('fire_ug.vtu'))
script.add_source(r)
# We now create the complete equivalent of a ScalarCutPlane in
# the next block!
cp = CutPlane()
w = WarpScalar()
warper = Optional(filter=w, label_text='Enable warping', enabled=False)
c = Contour()
ctr = Optional(filter=c, label_text='Enable contours', enabled=False)
p = PolyDataNormals(name='Normals')
normals = Optional(filter=p,
label_text='Compute normals',
enabled=False)
a = Actor()
components = [cp, warper, ctr, normals, a]
m = GenericModule(name='ScalarCutPlane',
components=components,
contour=c,
actor=a)
script.add_module(m)
s.scene.isometric_view()
########################################
# do the testing.
def check(mod):
"""Check if test status is OK for the given module."""
cut, warper, ctr, normals, a = mod.components
c = ctr.filter
# The intermediate ones are disabled.
assert normals.outputs[0] is cut.outputs[0]
# Enable the contours.
ctr.enabled = True
assert ctr.outputs[0] is c.outputs[0]
assert ctr.outputs[0] is normals.outputs[0]
n_output = self._get_output(normals.outputs[0])
rng = n_output.point_data.scalars.range
assert (rng[1] - rng[0]) < 1e-4
# Turn on auto-contours
c.auto_contours = True
# Increase number of contours and the range should change.
c.number_of_contours = 10
n_output = self._get_output(normals.outputs[0])
assert len(n_output.points) != 0
rng = n_output.point_data.scalars.range
assert rng[0] < rng[1]
# Check if pipeline_changed is correctly propagated.
old = self._get_output(normals.outputs[0])
assert a.mapper.scalar_mode == 'default'
c.filled_contours = True
n_output = self._get_output(normals.outputs[0])
c_output = self._get_output(c.outputs[0])
assert n_output != old
assert n_output is c_output
# Check if the actor responds correctly to the
# filled_contour change.
assert a.mapper.scalar_mode == 'use_cell_data'
# Set back everything to original state.
c.filled_contours = False
assert a.mapper.scalar_mode == 'default'
c.number_of_contours = 1
c.auto_contours = False
ctr.enabled = False
assert normals.outputs[0] is cut.outputs[0]
check(m)
############################################################
# Test if saving a visualization and restoring it works.
# Save visualization.
f = BytesIO()
f.name = abspath('test.mv2') # We simulate a file.
script.save_visualization(f)
f.seek(0) # So we can read this saved data.
# Remove existing scene.
engine = script.engine
engine.close_scene(s)
# Load visualization
script.load_visualization(f)
s = engine.current_scene
s.scene.isometric_view()
# Now do the check.
m = s.children[0].children[0].children[0]
check(m)
############################################################
# Test if the Mayavi2 visualization can be deep-copied.
# Pop the source object.
source = s.children.pop()
# Add it back to see if that works without error.
s.children.append(source)
# Now do the check.
m = s.children[0].children[0].children[0]
s.scene.isometric_view()
check(m)
# Now deepcopy the source and replace the existing one with
# the copy. This basically simulates cutting/copying the
# object from the UI via the right-click menu on the tree
# view, and pasting the copy back.
source1 = copy.deepcopy(source)
s.children[0] = source1
# Now do the check.
m = s.children[0].children[0].children[0]
s.scene.isometric_view()
check(m)
