Pre-v0.0.1 PR: Add some tests, update readme (#13)

* Add new demo to tests

* Increase sleep time for more consistent loading

* Apply black on all demos

* Update Readme with new demo

* Rename demo apps directories (remove usage-)

Author: Xing Han Lu

README.md

@@ -141,18 +141,18 @@ You can find the complete API reference in [`docs/REFERENCES.md`](./docs/REFEREN
 
 ### Point Cloud with PyVista
 
-* [Code](./demos/usage-pyvista-point-cloud)
+* [Code](./demos/pyvista-point-cloud)
 * Online Demo (coming soon)
 
-![A demo of the usage-pyvista-point-cloud app](demos/usage-pyvista-point-cloud/demo.jpg)
+![A demo of the pyvista-point-cloud app](demos/pyvista-point-cloud/demo.jpg)
 
 
 ### Terrain deformation using PyVista and dash-vtk
 
-* [Code](./demos/usage-pyvista-terrain-following-mesh)
+* [Code](./demos/pyvista-terrain-following-mesh)
 * Online Demo (coming soon)
 
-![A demo of the usage-pyvista-terrain-following-mesh app](demos/usage-pyvista-terrain-following-mesh/demo.jpg)
+![A demo of the pyvista-terrain-following-mesh app](demos/pyvista-terrain-following-mesh/demo.jpg)
 
 
 ### Volume Rendering
@@ -167,4 +167,11 @@ You can find the complete API reference in [`docs/REFERENCES.md`](./docs/REFEREN
 * [Code](./demos/usage-vtk-cfd)
 * Online Demo (coming soon)
 
-![A demo of the usage-vtk-cfd app](demos/usage-vtk-cfd/demo.jpg
+![A demo of the usage-vtk-cfd app](demos/usage-vtk-cfd/demo.jpg)
+
+### Synthetic Volume Rendering
+
+* [Code](./demos/synthetic-volume-rendering)
+* Online Demo (coming soon)
+
+![A demo of the synthetic-volume-rendering app](demos/synthetic-volume-rendering/demo.jpg)

demos/usage-pyvista-point-cloud/Procfile renamed to demos/pyvista-point-cloud/Procfile

@@ -12,15 +12,16 @@
 # Get point cloud data from PyVista
 dataset = examples.download_lidar()
 subset = 0.5
-selection = np.random.randint(low=0, high=dataset.n_points-1,
-                              size=int(dataset.n_points * subset))
+selection = np.random.randint(
+    low=0, high=dataset.n_points - 1, size=int(dataset.n_points * subset)
+)
 points = dataset.points[selection]
 xyz = points.ravel()
 elevation = points[:, -1].ravel()
 min_elevation = np.amin(elevation)
 max_elevation = np.amax(elevation)
-print(f'Number of points: {points.shape}')
-print(f'Elevation range: [{min_elevation}, {max_elevation}]')
+print(f"Number of points: {points.shape}")
+print(f"Elevation range: [{min_elevation}, {max_elevation}]")
 
 # Setup VTK rendering of PointCloud
 app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
@@ -32,7 +33,7 @@
             xyz=xyz,
             scalars=elevation,
             colorDataRange=[min_elevation, max_elevation],
-            property={ 'pointSize': 2 },
+            property={"pointSize": 2},
         )
     ]
 )

demos/usage-pyvista-point-cloud/README.md renamed to demos/pyvista-point-cloud/README.md

@@ -13,19 +13,22 @@
 
 from dash_vtk.utils import presets
 
+
 def toDropOption(name):
-    return {'label': name, 'value': name}
+    return {"label": name, "value": name}
+
 
 # Get point cloud data from PyVista
 uniformGrid = examples.download_crater_topo()
 subset = uniformGrid.extract_subset((500, 900, 400, 800, 0, 0), (5, 5, 1))
 
+
 def updateWarp(factor=1):
     terrain = subset.warp_by_scalar(factor=factor)
     polydata = terrain.extract_geometry()
     points = polydata.points.ravel()
     polys = vtk_to_numpy(polydata.GetPolys().GetData())
-    elevation = polydata['scalar1of1']
+    elevation = polydata["scalar1of1"]
     min_elevation = np.amin(elevation)
     max_elevation = np.amax(elevation)
     return [points, polys, elevation, [min_elevation, max_elevation]]
@@ -48,37 +51,32 @@ def updateWarp(factor=1):
                     points=points,
                     polys=polys,
                     children=[
-                        dash_vtk.PointData([
-                            dash_vtk.DataArray(
-                                id="vtk-array",
-                                registration="setScalars",
-                                name="elevation",
-                                values=elevation,
-                            )
-                        ])
-                    ]
+                        dash_vtk.PointData(
+                            [
+                                dash_vtk.DataArray(
+                                    id="vtk-array",
+                                    registration="setScalars",
+                                    name="elevation",
+                                    values=elevation,
+                                )
+                            ]
+                        )
+                    ],
                 )
             ],
             colorMapPreset="erdc_blue2green_muted",
             colorDataRange=color_range,
-            property={
-                'edgeVisibility': True,
-            },
+            property={"edgeVisibility": True,},
         )
-    ]
+    ],
 )
 
 app.layout = dbc.Container(
     fluid=True,
     children=[
         dbc.Row(
             [
-                dbc.Col(
-                    width=6,
-                    children=[
-                        html.H1("Terrain deformation"),
-                    ]
-                ),
+                dbc.Col(width=6, children=[html.H1("Terrain deformation"),]),
                 dbc.Col(
                     width=3,
                     children=[
@@ -100,7 +98,7 @@ def updateWarp(factor=1):
                             options=list(map(toDropOption, presets)),
                             value="erdc_rainbow_bright",
                         ),
-                    ]
+                    ],
                 ),
             ]
         ),
@@ -123,17 +121,20 @@ def updateWarp(factor=1):
 
 
 @app.callback(
-    [Output("vtk-representation", "colorMapPreset"),
-     Output("vtk-representation", "colorDataRange"),
-     Output("vtk-polydata", 'points'),
-     Output("vtk-polydata", 'polys'),
-     Output("vtk-array", 'values'),
-     Output("vtk-view", "triggerResetCamera")],
-    [Input("dropdown-preset", "value"), Input("scale-factor", "value")]
+    [
+        Output("vtk-representation", "colorMapPreset"),
+        Output("vtk-representation", "colorDataRange"),
+        Output("vtk-polydata", "points"),
+        Output("vtk-polydata", "polys"),
+        Output("vtk-array", "values"),
+        Output("vtk-view", "triggerResetCamera"),
+    ],
+    [Input("dropdown-preset", "value"), Input("scale-factor", "value")],
 )
 def updatePresetName(name, scale_factor):
     points, polys, elevation, color_range = updateWarp(scale_factor)
     return [name, color_range, points, polys, elevation, random.random()]
 
+
 if __name__ == "__main__":
     app.run_server(debug=True)