path: root/python-dash-vtk.spec

%global _empty_manifest_terminate_build 0
Name:		python-dash-vtk
Version:	0.0.9
Release:	1
Summary:	React based declarative usage of vtk.js for Dash
License:	MIT
URL:		https://github.com/plotly/dash-vtk
Source0:	https://mirrors.aliyun.com/pypi/web/packages/e9/56/2489ae0e422c201baa12adbd331f8d2408063fc156a405f86617a4147aef/dash_vtk-0.0.9.tar.gz
BuildArch:	noarch

Requires:	python3-dash
Requires:	python3-vtk

%description
# Dash VTK

*Dash VTK lets you integrate the `vtk.js` visualization pipeline directly into your Dash app. It is powered by [`react-vtk-js`](https://github.com/Kitware/react-vtk-js/).*


| ![][usage-algorithm] | ![][pyvista-point-cloud] | ![][terrain-deformation] |
| --- | --- | --- |
| ![][volume-rendering] | ![][vtk-cfd] | ![][synthetic-volume] |

* [Docs](https://github.com/plotly/dash-vtk/tree/master/docs)
* [Demo Explorer](https://dash-gallery.plotly.host/dash-vtk-explorer/)
* [Repository](https://github.com/plotly/dash-vtk)
* [Webinar](https://go.plotly.com/dash-vtk)

## Getting started

### Quickstart (Python)

First, install the library through `pip`:
```
pip install dash-vtk
```

Then, create a file called `app.py` and add the following example:

```python
import dash
import dash_vtk
import dash_html_components as html

app = dash.Dash(__name__)

app.layout = html.Div(
    style={"width": "100%", "height": "calc(100vh - 16px)"},
    children=dash_vtk.View([
        dash_vtk.GeometryRepresentation([
            dash_vtk.Algorithm(
                vtkClass="vtkConeSource",
                state={"resolution": 64, "capping": False},
            )
        ]),
    ]),
)

if __name__ == "__main__":
    app.run_server(debug=True)
```

Now, simply run the app:
```
python app.py
```

For a more detailed example, see `usage.py`.

### Quickstart (R)

First, install the package from GitHub (the package is not yet available via CRAN):
```
remotes::install_github("plotly/dash-vtk")
```

then, create your component and add it to your layout:

```r
library(dash)
library(dashVtk)
library(dashHtmlComponents)

app <- Dash$new()

app$layout(htmlDiv(
    style = list("width" = "100%", "height" = "calc(100vh - 16px)"),
    children = vtkView(list(
        vtkGeometryRepresentation(
            vtkAlgorithm(
                vtkClass = "vtkConeSource",
                state = list("resolution" = 64, "capping" = FALSE),
            )
        )
    )
)

app$run_server()
```
## Contributing

See [docs/CONTRIBUTING.md](./docs/CONTRIBUTING.md) to learn about:

* Setting up the environment
* Coding Style
* Code quality & design
* Tests
* Publishing


## Running the demos

First clone the project (replace `<name>` with the desired demo):

``` bash
git clone https://github.com/plotly/dash-vtk.git
cd dash-vtk/demos/<name>/
```

Create a venv and install the requirements:
```bash
python -m venv venv
source venv/bin/activate  # for Windows, use venv\Scripts\activate.bat
pip install -e ../../  # IMPORTANT! If you skip you will get the pip version of dash-vtk
pip install -r requirements.txt
```

Run the demo:
```bash
python app.py
```

### Python environments

Depending on your Python environment, you may run into deployment issue related to the vtk version that get pulled in.

Ideally we want a version of vtk equal or newer than 9. When using such version of VTK, `dash-vtk` won't even try to load the rendering module of VTK and if OpenGL is not available on your system everything will still be fine.

On the other hand, if you are running python-3.6 and/or pip-18 or less and you don't upgrade your pip version, you will only be able to use `vtk<=8.1.2`. With vtk 8, there is no way to prevent the loading of the GL library which means that you will have to install libGL on your system, or you will run into errors like this:

```
  File ".../python/lib/python3.6/site-packages/vtkmodules/all.py", line 29, in <module>
    from .vtkRenderingOpenGL2 import *
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
[2021-02-08 18:36:15 +0000] [10] [INFO] Worker exiting (pid: 10)
```

or this:
```
  File ".../python3.7/site-packages/vtk/__init__.py", line 12, in <module>
    from .vtkOpenGLKit import *
  File ".../python3.7/site-packages/vtk/vtkOpenGLKit.py", line 9, in <module>
    from vtkOpenGLKitPython import *
ModuleNotFoundError: No module named 'vtkOpenGLKitPython'
```

Heroku and Dash Enterprise handle it is slightly different because you will have to install `libgl1-mesa-glx` via some `apt` files. In the case of Heroku, you will have to use a [buildpack](https://elements.heroku.com/buildpacks/heroku/heroku-buildpack-apt) and add `libgl1-mesa-glx` to a `Aptfile` located in the root of your project. In the case of Dash Enterprise, you do not need to change the buildpack (it is handled automatically) but you will need to add `libgl1-mesa-glx` to a `apt-packages` file instead of `Aptfile`; see [this app](https://github.com/plotly/dash-sample-apps/blob/master/apps/dash-vtk-explorer/apt-packages) as an example.

## References

You can find the complete API reference in [`docs/REFERENCES.md`](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md) for each of the following components:
- [Algorithm](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Algorithm)
- [Calculator](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Calculator)
- [CellData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#CellData)
- [DataArray](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#DataArray)
- [FieldData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#FieldData)
- [GeometryRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#GeometryRepresentation)
- [ImageData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ImageData)
- [PointCloudRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointCloudRepresentation)
- [PointData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointData)
- [PolyData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PolyData)
- [Reader](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Reader)
- [ShareDataSet](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ShareDataSet)
- [SliceRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#SliceRepresentation)
- [View](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#View)
- [VolumeController](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeController)
- [VolumeDataRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeDataRepresentation)
- [VolumeRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeRepresentation)

## Demos

### Usage for `dash_vtk.Algorithm`

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-algorithm)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-algorithm)

![][usage-algorithm]

### Point Cloud with PyVista

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-point-cloud)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-point-cloud)

![][pyvista-point-cloud]

### Terrain deformation using PyVista and dash-vtk

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-terrain-following-mesh)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-terrain-following-mesh)

![][terrain-deformation]


### Volume Rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/volume-rendering)

![A demo of the volume-rendering app][volume-rendering]

### VTK for data processing and dash-vtk for rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-vtk-cfd)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-vtk-cfd)

![A demo of the usage-vtk-cfd app][vtk-cfd]

### Synthetic Volume Rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/synthetic-volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/synthetic-volume-rendering)

![A demo of the synthetic-volume-rendering app][synthetic-volume]

[pyvista-point-cloud]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-point-cloud/demo.jpg?raw=true
[usage-algorithm]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-algorithm/demo.jpg?raw=true
[terrain-deformation]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-terrain-following-mesh/demo.jpg?raw=true
[volume-rendering]: https://github.com/plotly/dash-vtk/blob/master/demos/volume-rendering/demo.jpg?raw=true
[vtk-cfd]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-vtk-cfd/demo.jpg?raw=true
[synthetic-volume]: https://github.com/plotly/dash-vtk/blob/master/demos/synthetic-volume-rendering/demo.jpg?raw=true
[dicom-ct-lung]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-ct-lung/demo.jpg?raw=true
[dicom-mri-brain]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-brain/demo.jpg?raw=true
[dicom-mri-pancreas]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-pancreas/demo.jpg?raw=true





%package -n python3-dash-vtk
Summary:	React based declarative usage of vtk.js for Dash
Provides:	python-dash-vtk
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-dash-vtk
# Dash VTK

*Dash VTK lets you integrate the `vtk.js` visualization pipeline directly into your Dash app. It is powered by [`react-vtk-js`](https://github.com/Kitware/react-vtk-js/).*


| ![][usage-algorithm] | ![][pyvista-point-cloud] | ![][terrain-deformation] |
| --- | --- | --- |
| ![][volume-rendering] | ![][vtk-cfd] | ![][synthetic-volume] |

* [Docs](https://github.com/plotly/dash-vtk/tree/master/docs)
* [Demo Explorer](https://dash-gallery.plotly.host/dash-vtk-explorer/)
* [Repository](https://github.com/plotly/dash-vtk)
* [Webinar](https://go.plotly.com/dash-vtk)

## Getting started

### Quickstart (Python)

First, install the library through `pip`:
```
pip install dash-vtk
```

Then, create a file called `app.py` and add the following example:

```python
import dash
import dash_vtk
import dash_html_components as html

app = dash.Dash(__name__)

app.layout = html.Div(
    style={"width": "100%", "height": "calc(100vh - 16px)"},
    children=dash_vtk.View([
        dash_vtk.GeometryRepresentation([
            dash_vtk.Algorithm(
                vtkClass="vtkConeSource",
                state={"resolution": 64, "capping": False},
            )
        ]),
    ]),
)

if __name__ == "__main__":
    app.run_server(debug=True)
```

Now, simply run the app:
```
python app.py
```

For a more detailed example, see `usage.py`.

### Quickstart (R)

First, install the package from GitHub (the package is not yet available via CRAN):
```
remotes::install_github("plotly/dash-vtk")
```

then, create your component and add it to your layout:

```r
library(dash)
library(dashVtk)
library(dashHtmlComponents)

app <- Dash$new()

app$layout(htmlDiv(
    style = list("width" = "100%", "height" = "calc(100vh - 16px)"),
    children = vtkView(list(
        vtkGeometryRepresentation(
            vtkAlgorithm(
                vtkClass = "vtkConeSource",
                state = list("resolution" = 64, "capping" = FALSE),
            )
        )
    )
)

app$run_server()
```
## Contributing

See [docs/CONTRIBUTING.md](./docs/CONTRIBUTING.md) to learn about:

* Setting up the environment
* Coding Style
* Code quality & design
* Tests
* Publishing


## Running the demos

First clone the project (replace `<name>` with the desired demo):

``` bash
git clone https://github.com/plotly/dash-vtk.git
cd dash-vtk/demos/<name>/
```

Create a venv and install the requirements:
```bash
python -m venv venv
source venv/bin/activate  # for Windows, use venv\Scripts\activate.bat
pip install -e ../../  # IMPORTANT! If you skip you will get the pip version of dash-vtk
pip install -r requirements.txt
```

Run the demo:
```bash
python app.py
```

### Python environments

Depending on your Python environment, you may run into deployment issue related to the vtk version that get pulled in.

Ideally we want a version of vtk equal or newer than 9. When using such version of VTK, `dash-vtk` won't even try to load the rendering module of VTK and if OpenGL is not available on your system everything will still be fine.

On the other hand, if you are running python-3.6 and/or pip-18 or less and you don't upgrade your pip version, you will only be able to use `vtk<=8.1.2`. With vtk 8, there is no way to prevent the loading of the GL library which means that you will have to install libGL on your system, or you will run into errors like this:

```
  File ".../python/lib/python3.6/site-packages/vtkmodules/all.py", line 29, in <module>
    from .vtkRenderingOpenGL2 import *
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
[2021-02-08 18:36:15 +0000] [10] [INFO] Worker exiting (pid: 10)
```

or this:
```
  File ".../python3.7/site-packages/vtk/__init__.py", line 12, in <module>
    from .vtkOpenGLKit import *
  File ".../python3.7/site-packages/vtk/vtkOpenGLKit.py", line 9, in <module>
    from vtkOpenGLKitPython import *
ModuleNotFoundError: No module named 'vtkOpenGLKitPython'
```

Heroku and Dash Enterprise handle it is slightly different because you will have to install `libgl1-mesa-glx` via some `apt` files. In the case of Heroku, you will have to use a [buildpack](https://elements.heroku.com/buildpacks/heroku/heroku-buildpack-apt) and add `libgl1-mesa-glx` to a `Aptfile` located in the root of your project. In the case of Dash Enterprise, you do not need to change the buildpack (it is handled automatically) but you will need to add `libgl1-mesa-glx` to a `apt-packages` file instead of `Aptfile`; see [this app](https://github.com/plotly/dash-sample-apps/blob/master/apps/dash-vtk-explorer/apt-packages) as an example.

## References

You can find the complete API reference in [`docs/REFERENCES.md`](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md) for each of the following components:
- [Algorithm](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Algorithm)
- [Calculator](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Calculator)
- [CellData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#CellData)
- [DataArray](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#DataArray)
- [FieldData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#FieldData)
- [GeometryRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#GeometryRepresentation)
- [ImageData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ImageData)
- [PointCloudRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointCloudRepresentation)
- [PointData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointData)
- [PolyData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PolyData)
- [Reader](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Reader)
- [ShareDataSet](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ShareDataSet)
- [SliceRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#SliceRepresentation)
- [View](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#View)
- [VolumeController](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeController)
- [VolumeDataRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeDataRepresentation)
- [VolumeRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeRepresentation)

## Demos

### Usage for `dash_vtk.Algorithm`

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-algorithm)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-algorithm)

![][usage-algorithm]

### Point Cloud with PyVista

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-point-cloud)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-point-cloud)

![][pyvista-point-cloud]

### Terrain deformation using PyVista and dash-vtk

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-terrain-following-mesh)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-terrain-following-mesh)

![][terrain-deformation]


### Volume Rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/volume-rendering)

![A demo of the volume-rendering app][volume-rendering]

### VTK for data processing and dash-vtk for rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-vtk-cfd)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-vtk-cfd)

![A demo of the usage-vtk-cfd app][vtk-cfd]

### Synthetic Volume Rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/synthetic-volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/synthetic-volume-rendering)

![A demo of the synthetic-volume-rendering app][synthetic-volume]

[pyvista-point-cloud]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-point-cloud/demo.jpg?raw=true
[usage-algorithm]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-algorithm/demo.jpg?raw=true
[terrain-deformation]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-terrain-following-mesh/demo.jpg?raw=true
[volume-rendering]: https://github.com/plotly/dash-vtk/blob/master/demos/volume-rendering/demo.jpg?raw=true
[vtk-cfd]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-vtk-cfd/demo.jpg?raw=true
[synthetic-volume]: https://github.com/plotly/dash-vtk/blob/master/demos/synthetic-volume-rendering/demo.jpg?raw=true
[dicom-ct-lung]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-ct-lung/demo.jpg?raw=true
[dicom-mri-brain]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-brain/demo.jpg?raw=true
[dicom-mri-pancreas]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-pancreas/demo.jpg?raw=true





%package help
Summary:	Development documents and examples for dash-vtk
Provides:	python3-dash-vtk-doc
%description help
# Dash VTK

*Dash VTK lets you integrate the `vtk.js` visualization pipeline directly into your Dash app. It is powered by [`react-vtk-js`](https://github.com/Kitware/react-vtk-js/).*


| ![][usage-algorithm] | ![][pyvista-point-cloud] | ![][terrain-deformation] |
| --- | --- | --- |
| ![][volume-rendering] | ![][vtk-cfd] | ![][synthetic-volume] |

* [Docs](https://github.com/plotly/dash-vtk/tree/master/docs)
* [Demo Explorer](https://dash-gallery.plotly.host/dash-vtk-explorer/)
* [Repository](https://github.com/plotly/dash-vtk)
* [Webinar](https://go.plotly.com/dash-vtk)

## Getting started

### Quickstart (Python)

First, install the library through `pip`:
```
pip install dash-vtk
```

Then, create a file called `app.py` and add the following example:

```python
import dash
import dash_vtk
import dash_html_components as html

app = dash.Dash(__name__)

app.layout = html.Div(
    style={"width": "100%", "height": "calc(100vh - 16px)"},
    children=dash_vtk.View([
        dash_vtk.GeometryRepresentation([
            dash_vtk.Algorithm(
                vtkClass="vtkConeSource",
                state={"resolution": 64, "capping": False},
            )
        ]),
    ]),
)

if __name__ == "__main__":
    app.run_server(debug=True)
```

Now, simply run the app:
```
python app.py
```

For a more detailed example, see `usage.py`.

### Quickstart (R)

First, install the package from GitHub (the package is not yet available via CRAN):
```
remotes::install_github("plotly/dash-vtk")
```

then, create your component and add it to your layout:

```r
library(dash)
library(dashVtk)
library(dashHtmlComponents)

app <- Dash$new()

app$layout(htmlDiv(
    style = list("width" = "100%", "height" = "calc(100vh - 16px)"),
    children = vtkView(list(
        vtkGeometryRepresentation(
            vtkAlgorithm(
                vtkClass = "vtkConeSource",
                state = list("resolution" = 64, "capping" = FALSE),
            )
        )
    )
)

app$run_server()
```
## Contributing

See [docs/CONTRIBUTING.md](./docs/CONTRIBUTING.md) to learn about:

* Setting up the environment
* Coding Style
* Code quality & design
* Tests
* Publishing


## Running the demos

First clone the project (replace `<name>` with the desired demo):

``` bash
git clone https://github.com/plotly/dash-vtk.git
cd dash-vtk/demos/<name>/
```

Create a venv and install the requirements:
```bash
python -m venv venv
source venv/bin/activate  # for Windows, use venv\Scripts\activate.bat
pip install -e ../../  # IMPORTANT! If you skip you will get the pip version of dash-vtk
pip install -r requirements.txt
```

Run the demo:
```bash
python app.py
```

### Python environments

Depending on your Python environment, you may run into deployment issue related to the vtk version that get pulled in.

Ideally we want a version of vtk equal or newer than 9. When using such version of VTK, `dash-vtk` won't even try to load the rendering module of VTK and if OpenGL is not available on your system everything will still be fine.

On the other hand, if you are running python-3.6 and/or pip-18 or less and you don't upgrade your pip version, you will only be able to use `vtk<=8.1.2`. With vtk 8, there is no way to prevent the loading of the GL library which means that you will have to install libGL on your system, or you will run into errors like this:

```
  File ".../python/lib/python3.6/site-packages/vtkmodules/all.py", line 29, in <module>
    from .vtkRenderingOpenGL2 import *
ImportError: libGL.so.1: cannot open shared object file: No such file or directory
[2021-02-08 18:36:15 +0000] [10] [INFO] Worker exiting (pid: 10)
```

or this:
```
  File ".../python3.7/site-packages/vtk/__init__.py", line 12, in <module>
    from .vtkOpenGLKit import *
  File ".../python3.7/site-packages/vtk/vtkOpenGLKit.py", line 9, in <module>
    from vtkOpenGLKitPython import *
ModuleNotFoundError: No module named 'vtkOpenGLKitPython'
```

Heroku and Dash Enterprise handle it is slightly different because you will have to install `libgl1-mesa-glx` via some `apt` files. In the case of Heroku, you will have to use a [buildpack](https://elements.heroku.com/buildpacks/heroku/heroku-buildpack-apt) and add `libgl1-mesa-glx` to a `Aptfile` located in the root of your project. In the case of Dash Enterprise, you do not need to change the buildpack (it is handled automatically) but you will need to add `libgl1-mesa-glx` to a `apt-packages` file instead of `Aptfile`; see [this app](https://github.com/plotly/dash-sample-apps/blob/master/apps/dash-vtk-explorer/apt-packages) as an example.

## References

You can find the complete API reference in [`docs/REFERENCES.md`](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md) for each of the following components:
- [Algorithm](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Algorithm)
- [Calculator](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Calculator)
- [CellData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#CellData)
- [DataArray](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#DataArray)
- [FieldData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#FieldData)
- [GeometryRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#GeometryRepresentation)
- [ImageData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ImageData)
- [PointCloudRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointCloudRepresentation)
- [PointData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PointData)
- [PolyData](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#PolyData)
- [Reader](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#Reader)
- [ShareDataSet](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#ShareDataSet)
- [SliceRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#SliceRepresentation)
- [View](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#View)
- [VolumeController](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeController)
- [VolumeDataRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeDataRepresentation)
- [VolumeRepresentation](https://github.com/plotly/dash-vtk/blob/master/docs/REFERENCES.md#VolumeRepresentation)

## Demos

### Usage for `dash_vtk.Algorithm`

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-algorithm)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-algorithm)

![][usage-algorithm]

### Point Cloud with PyVista

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-point-cloud)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-point-cloud)

![][pyvista-point-cloud]

### Terrain deformation using PyVista and dash-vtk

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/pyvista-terrain-following-mesh)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/pyvista-terrain-following-mesh)

![][terrain-deformation]


### Volume Rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/volume-rendering)

![A demo of the volume-rendering app][volume-rendering]

### VTK for data processing and dash-vtk for rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/usage-vtk-cfd)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/usage-vtk-cfd)

![A demo of the usage-vtk-cfd app][vtk-cfd]

### Synthetic Volume Rendering

* [Code](https://github.com/plotly/dash-vtk/tree/master/demos/synthetic-volume-rendering)
* [Online Demo](https://dash-gallery.plotly.host/dash-vtk-explorer/synthetic-volume-rendering)

![A demo of the synthetic-volume-rendering app][synthetic-volume]

[pyvista-point-cloud]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-point-cloud/demo.jpg?raw=true
[usage-algorithm]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-algorithm/demo.jpg?raw=true
[terrain-deformation]: https://github.com/plotly/dash-vtk/blob/master/demos/pyvista-terrain-following-mesh/demo.jpg?raw=true
[volume-rendering]: https://github.com/plotly/dash-vtk/blob/master/demos/volume-rendering/demo.jpg?raw=true
[vtk-cfd]: https://github.com/plotly/dash-vtk/blob/master/demos/usage-vtk-cfd/demo.jpg?raw=true
[synthetic-volume]: https://github.com/plotly/dash-vtk/blob/master/demos/synthetic-volume-rendering/demo.jpg?raw=true
[dicom-ct-lung]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-ct-lung/demo.jpg?raw=true
[dicom-mri-brain]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-brain/demo.jpg?raw=true
[dicom-mri-pancreas]: https://github.com/plotly/dash-vtk/blob/master/demos/dicom-mri-pancreas/demo.jpg?raw=true





%prep
%autosetup -n dash_vtk-0.0.9

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-dash-vtk -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.9-1
- Package Spec generated