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nova.galaxy import Connection, Parameters, Tool +class FractalTypeOptions(str, Enum): + mandelbrot = "mandelbrot" + julia = "julia" + random = "random" + markus = "markus" + + class Fractal(BaseModel): - fractal_type_options: list[str] = ["mandelbrot", "julia", "random", "markus"] - fractal_type: str = Field(default="mandelbrot") + fractal_type: FractalTypeOptions = Field(default=FractalTypeOptions.mandelbrot) galaxy_url: str = Field(default_factory=lambda: os.getenv("GALAXY_URL"), description="NDIP Galaxy URL") galaxy_key: str = Field(default_factory=lambda: os.getenv("GALAXY_API_KEY"), description="NDIP Galaxy API Key") image_data: str = Field(default="", description="Base64 encoded PNG") diff --git a/code/episode_5/src/nova_tutorial/app/views/fractal_tab.py b/code/episode_5/src/nova_tutorial/app/views/fractal_tab.py index 85bfc1f9fa369914869a7adef0af0e537e01927f..fee0a6e4b27b318dd7ae355ae0b2b6a6e37ceb05 100755 --- a/code/episode_5/src/nova_tutorial/app/views/fractal_tab.py +++ 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{file = "trame_server-3.3.0.tar.gz", hash = "sha256:b0b1769d9a0eb816c69076188773cb93b0e2f83c27009d8e94d7208e63c33805"}, + {file = "trame_server-3.4.0-py3-none-any.whl", hash = "sha256:642a8c9abe0344305f46c8e1fabde5fc8b3fc83ee57bcdcc4e05b85b346a538b"}, + {file = "trame_server-3.4.0.tar.gz", hash = "sha256:3d1edd2287949c4a51d3162f21137c061a4921858303ad67d1cf1d4148e36f3c"}, ] [package.dependencies] @@ -2704,7 +2996,7 @@ more-itertools = "*" wslink = ">=2.2.2,<3" [package.extras] -dev = ["pre-commit", "pytest", "pytest-asyncio", "ruff"] +dev = ["nox", "pre-commit", "pytest", "pytest-asyncio", "ruff"] [[package]] name = "trame-vega" @@ -2722,30 +3014,30 @@ trame-client = "*" [[package]] name = "trame-vtk" -version = "2.8.14" +version = "2.8.15" description = "VTK widgets for trame" optional = false python-versions = ">=3.9" files = [ - {file = "trame_vtk-2.8.14-py3-none-any.whl", hash = "sha256:01f36487121f7a5d810bf8a3cba69275867a46fed6f6b70c7b93627350c43d32"}, - {file = "trame_vtk-2.8.14.tar.gz", hash = "sha256:26baa6cc3be6756c583a5c5fadc8baa954ae1064279f63b5432370345b562098"}, + {file = "trame_vtk-2.8.15-py3-none-any.whl", hash = "sha256:abf7d23d267dd15b87db4b249302a0aea8572c260d205e264dba5836b3adc92b"}, + {file = "trame_vtk-2.8.15.tar.gz", hash = "sha256:584049637491a7c5ba00efec2a5c5eb96a337bab31d6f0c4bcca8bea60446646"}, ] [package.dependencies] trame-client = ">=3.4,<4" [package.extras] -dev = ["pre-commit", "pytest", "ruff"] +dev = ["coverage", "nox", "pre-commit", "pytest", "pytest-asyncio", "ruff"] [[package]] name = "trame-vuetify" -version = "2.8.1" +version = "2.9.0" description = "Vuetify widgets for trame" optional = false python-versions = ">=3.9" files = [ - {file = "trame_vuetify-2.8.1-py3-none-any.whl", hash = "sha256:47d35ab4ec6d37ad1ad8e63c0a2de7c25677f62ef383f1b1e06dd74dda8a3767"}, - {file = "trame_vuetify-2.8.1.tar.gz", hash = "sha256:281606797c29b0300ec2b3524c4396ac2b78da1a300d188d603af09eea83bfe2"}, + {file = "trame_vuetify-2.9.0-py3-none-any.whl", hash = "sha256:3db6a6b3384c313befb9d8f0eaf39a9e6cd1d2b882babd1c85d8779ff0f4f2bc"}, + {file = "trame_vuetify-2.9.0.tar.gz", hash = "sha256:86cfa1387b97e9f18d15ce98ee238b6e6c0e0f921935aab6737ae0bed74ee70a"}, ] [package.dependencies] @@ -2776,24 +3068,38 @@ test = ["aioresponses (>=0.6.2)", "coverage (>=4.2)", "parametrize (>=0.1.1)", " [[package]] name = "typing-extensions" -version = "4.12.2" +version = "4.13.1" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"}, - {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"}, + {file = "typing_extensions-4.13.1-py3-none-any.whl", hash = "sha256:4b6cf02909eb5495cfbc3f6e8fd49217e6cc7944e145cdda8caa3734777f9e69"}, + {file = "typing_extensions-4.13.1.tar.gz", hash = "sha256:98795af00fb9640edec5b8e31fc647597b4691f099ad75f469a2616be1a76dff"}, ] +[[package]] +name = "typing-inspection" +version = "0.4.0" +description = "Runtime typing introspection tools" +optional = false +python-versions = ">=3.9" +files = [ + {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"}, + {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"}, +] + +[package.dependencies] +typing-extensions = ">=4.12.0" + [[package]] name = "tzdata" -version = "2025.1" +version = "2025.2" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" files = [ - {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"}, - {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"}, + {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"}, + {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"}, ] [[package]] @@ -2815,13 +3121,13 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "virtualenv" -version = "20.29.1" +version = "20.30.0" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" files = [ - {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"}, - {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"}, + {file = "virtualenv-20.30.0-py3-none-any.whl", hash = "sha256:e34302959180fca3af42d1800df014b35019490b119eba981af27f2fa486e5d6"}, + {file = "virtualenv-20.30.0.tar.gz", hash = "sha256:800863162bcaa5450a6e4d721049730e7f2dae07720e0902b0e4040bd6f9ada8"}, ] [package.dependencies] @@ -2887,13 +3193,13 @@ files = [ [[package]] name = "wslink" -version = "2.2.2" +version = "2.3.3" description = "Python/JavaScript library for communicating over WebSocket" optional = false python-versions = "*" files = [ - {file = "wslink-2.2.2-py3-none-any.whl", hash = "sha256:8fbab2fb89d0215b9ac3da0a20d554e6b1e05bab8b97883923e7f7ffeaef43d3"}, - {file = "wslink-2.2.2.tar.gz", hash = "sha256:f9c24c08b89d2bd9bd77951ad0c01da9c28905dda29d7397f7f72b542c496840"}, + {file = "wslink-2.3.3-py3-none-any.whl", hash = "sha256:594e2193821caa75fbf580c0c57ae7cd99541dd8cc95bcb55fe253d9a2b42a16"}, + {file = "wslink-2.3.3.tar.gz", hash = "sha256:2eace91ee5a739a965c316dcca4c407009fbb68cbc13be3f11e6485edbd8147f"}, ] [package.dependencies] @@ -3002,4 +3308,4 @@ propcache = ">=0.2.0" [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "2e559beb56b954661be29ef383ecb94e64a60d1ffe08125b51bd8af61b87d9ee" +content-hash = "414fccff897583db607ffdf7e1d3eb1b40dbd85de5415c9307382aad5042243e" diff --git a/code/episode_7/pyproject.toml b/code/episode_7/pyproject.toml index 9dde56fb283fe0b05fb882b5c930a582a124eb96..f4e1070f0327f066b1b6824c0495df73657b3319 100755 --- a/code/episode_7/pyproject.toml +++ b/code/episode_7/pyproject.toml @@ -16,7 +16,7 @@ packages = [ python = "^3.10" nova-galaxy = "^0.7.0" nova-mvvm = "0.9.0" -nova-trame = "0.14.0" +nova-trame = "0.16.0" pandas = "^2.2.3" plotly = "^5.24.1" pyvista = "^0.44.2" diff --git a/code/episode_7/src/nova_tutorial/main.py b/code/episode_7/src/nova_tutorial/main.py index 20aa387ae561622eb6160bd17de30fccb637e80d..f9376e77f6a8448fbaba84aa82b6fefe07d43f23 100755 --- a/code/episode_7/src/nova_tutorial/main.py +++ b/code/episode_7/src/nova_tutorial/main.py @@ -1,10 +1,10 @@ """Loads the main view and starts the Trame server.""" -from nova_tutorial.views.main import VisualizationApp +from nova_tutorial.views.main import MainApp def main() -> None: - app = VisualizationApp() + app = MainApp() app.server.start() diff --git a/code/episode_7/src/nova_tutorial/models/plotly.py b/code/episode_7/src/nova_tutorial/models/plotly.py index 741276fc70779c630e0a6acc83075a5ebf43897f..8fe95da55342fcb5698ec8612066cfdd640e5b83 100755 --- a/code/episode_7/src/nova_tutorial/models/plotly.py +++ b/code/episode_7/src/nova_tutorial/models/plotly.py @@ -1,35 +1,47 @@ """Configuration for the Plotly example.""" +from enum import Enum + import plotly.graph_objects as go from plotly.data import iris from pydantic import BaseModel, Field, computed_field IRIS_DATA = iris() +class AxisOptions(str, Enum): + sepal_length = "sepal_length" + sepal_width = "sepal_width" + petal_length = "petal_length" + petal_width = "petal_width" + + +class PlotTypeOptions(str, Enum): + heatmap = "Heatmap" + scatter = "Scatterplot" + + class PlotlyConfig(BaseModel): """Configuration class for the Plotly example.""" - axis_options: list[str] = ["sepal_length", "sepal_width", "petal_length", "petal_width"] - x_axis: str = Field(default="sepal_length", title="X Axis") - y_axis: str = Field(default="sepal_width", title="Y Axis") - z_axis: str = Field(default="petal_length", title="Color") - plot_type: str = Field(default="scatter", title="Plot Type") - plot_type_options: list[str] = ["heatmap", "scatter"] + x_axis: AxisOptions = Field(default=AxisOptions.sepal_length, title="X Axis") + y_axis: AxisOptions = Field(default=AxisOptions.sepal_width, title="Y Axis") + z_axis: AxisOptions = Field(default=AxisOptions.petal_length, title="Color") + plot_type: PlotTypeOptions = Field(default=PlotTypeOptions.scatter, title="Plot Type") @computed_field # type: ignore @property def is_not_heatmap(self) -> bool: - return self.plot_type != "heatmap" + return self.plot_type != PlotTypeOptions.heatmap def get_figure(self) -> go.Figure: match self.plot_type: - case "heatmap": + case PlotTypeOptions.heatmap: plot_data = go.Heatmap( x=IRIS_DATA[self.x_axis].tolist(), y=IRIS_DATA[self.y_axis].tolist(), z=IRIS_DATA[self.z_axis].tolist(), ) - case "scatter": + case PlotTypeOptions.scatter: plot_data = go.Scatter( x=IRIS_DATA[self.x_axis].tolist(), y=IRIS_DATA[self.y_axis].tolist(), mode="markers" ) diff --git a/code/episode_7/src/nova_tutorial/models/pyvista.py b/code/episode_7/src/nova_tutorial/models/pyvista.py index 3e174c7b1b78559bc0a00381fcf61a7831e23ff6..45365da9ebb0a00cefa94692af583923eb90ffc7 100644 --- a/code/episode_7/src/nova_tutorial/models/pyvista.py +++ b/code/episode_7/src/nova_tutorial/models/pyvista.py @@ -1,18 +1,30 @@ """Configuration for the PyVista example.""" +from enum import Enum + from pydantic import BaseModel, Field from pyvista import Plotter, examples KNEE_DATA = examples.download_knee_full() +class ColormapOptions(str, Enum): + viridis = "viridis" + autumn = "autumn" + coolwarm = "coolwarm" + twilight = "twilight" + jet = "jet" + + +class OpacityOptions(str, Enum): + linear = "linear" + sigmoid = "sigmoid" + class PyVistaConfig(BaseModel): """Configuration class for the PyVista example.""" - colormap_options: list[str] = ["viridis", "autumn", "coolwarm", "twilight", "jet"] - opacity_options: list[str] = ["linear", "sigmoid"] - colormap: str = Field(default="viridis", title="Color Transfer Function") - opacity: str = Field(default="linear", title="Opacity Transfer Function") + colormap: ColormapOptions = Field(default=ColormapOptions.viridis, title="Color Transfer Function") + opacity: OpacityOptions = Field(default=OpacityOptions.linear, title="Opacity Transfer Function") def render(self, plotter: Plotter) -> None: # If re-rendering the volume on changes isn't acceptable, then you may need to switch to using VTK directly due diff --git a/code/episode_7/src/nova_tutorial/views/plotly.py b/code/episode_7/src/nova_tutorial/views/plotly.py index 079afb8be96f15c41e78d0e6ff3237f9b1576f4b..0b4e04c883c5bb5847f5e29f31b6ae81065cee1b 100755 --- a/code/episode_7/src/nova_tutorial/views/plotly.py +++ b/code/episode_7/src/nova_tutorial/views/plotly.py @@ -21,15 +21,10 @@ class PlotlyView: def create_ui(self) -> None: with GridLayout(columns=4, classes="mb-2"): - InputField(v_model="plotly_config.plot_type", items="plotly_config.plot_type_options", type="select") - InputField(v_model="plotly_config.x_axis", items="plotly_config.axis_options", type="select") - InputField(v_model="plotly_config.y_axis", items="plotly_config.axis_options", type="select") - InputField( - v_model="plotly_config.z_axis", - disabled=("plotly_config.is_not_heatmap",), - items="plotly_config.axis_options", - type="select", - ) + InputField(v_model="plotly_config.plot_type", type="select") + InputField(v_model="plotly_config.x_axis", type="select") + InputField(v_model="plotly_config.y_axis", type="select") + InputField(v_model="plotly_config.z_axis", disabled=("plotly_config.is_not_heatmap",), type="select") with HBoxLayout(halign="center", height="50vh"): self.figure = plotly.Figure() diff --git a/code/episode_7/src/nova_tutorial/views/pyvista.py b/code/episode_7/src/nova_tutorial/views/pyvista.py index 3a57c9d7526c448da401857441b56cbc81111498..6d6a4504376c04b9a070276b44120bce08981867 100644 --- a/code/episode_7/src/nova_tutorial/views/pyvista.py +++ b/code/episode_7/src/nova_tutorial/views/pyvista.py @@ -29,12 +29,8 @@ class PyVistaView: def create_ui(self) -> None: vuetify.VCardTitle("PyVista") with GridLayout(columns=5, classes="mb-2", valign="center"): - InputField( - v_model="pyvista_config.colormap", column_span=2, items="pyvista_config.colormap_options", type="select" - ) - InputField( - v_model="pyvista_config.opacity", column_span=2, items="pyvista_config.opacity_options", type="select" - ) + InputField(v_model="pyvista_config.colormap", column_span=2, type="select") + InputField(v_model="pyvista_config.opacity", column_span=2, type="select") vuetify.VBtn("Render", click=self.update) with HBoxLayout(halign="center", height="50vh"): plotter_ui(self.plotter) diff --git a/episodes/05-Working-with-Trame.md b/episodes/05-Working-with-Trame.md index bb7dd68f4caa0829239ab66bf589ebf83ce84827..f9e469488715943afd061aa996497e954f9ffe29 100755 --- a/episodes/05-Working-with-Trame.md +++ b/episodes/05-Working-with-Trame.md @@ -172,15 +172,22 @@ Let\'s change the fractal type field to a dropdown and add a label to it. **3. `src/nova_tutorial/app/models/fractal.py` (Modify):** ```python +from enum import Enum + +class FractalTypeOptions(str, Enum): + mandelbrot = "mandelbrot" + julia = "julia" + random = "random" + markus = "markus" + class Fractal(BaseModel): - fractal_type_options: list[str] = ["mandelbrot", "julia", "random", "markus"] - fractal_type: str = Field(default="mandelbrot") + fractal_type: FractalTypeOptions = Field(default=FractalTypeOptions.mandelbrot) ``` **4. `src/nova_tutorial/app/views/fractal_tab.py` (Modify):** ```python - InputField(v_model="config.fractal.fractal_type", items="config.fractal.fractal_type_options", type="select") + InputField(v_model="config.fractal.fractal_type", type="select") ``` ### `RemoteFileInput` @@ -339,7 +346,7 @@ Now that we understand the basics of working with Trame, let\'s make the view fo self.create_ui() def create_ui(self) -> None: - InputField(v_model="config.fractal.fractal_type", classes="mb-2", items="config.fractal.fractal_type_options", type="select") + InputField(v_model="config.fractal.fractal_type", classes="mb-2", type="select") vuetify.VProgressCircular(v_if="running", indeterminate=True) vuetify.VImg(v_else=True, src=("config.fractal.image_data",), height="400", width="400") ``` diff --git a/episodes/07-Advanced-Visualizations.md b/episodes/07-Advanced-Visualizations.md index 3a2f3b2ac28b5a075d6d427a696753e91e845616..65335bb74db063dcbcb5b1c9bd85817687ac304b 100755 --- a/episodes/07-Advanced-Visualizations.md +++ b/episodes/07-Advanced-Visualizations.md @@ -127,13 +127,12 @@ class PlotlyView: ```python def create_ui(self) -> None: with GridLayout(columns=4, classes="mb-2"): - InputField(v_model="plotly_config.plot_type", items="plotly_config.plot_type_options", type="select") - InputField(v_model="plotly_config.x_axis", items="plotly_config.axis_options", type="select") - InputField(v_model="plotly_config.y_axis", items="plotly_config.axis_options", type="select") + InputField(v_model="plotly_config.plot_type", type="select") + InputField(v_model="plotly_config.x_axis", type="select") + InputField(v_model="plotly_config.y_axis", type="select") InputField( v_model="plotly_config.z_axis", disabled=("plotly_config.is_not_heatmap",), - items="plotly_config.axis_options", type="select", ) ``` @@ -158,6 +157,8 @@ As with our previous examples, there is a corresponding model. ```python """Configuration for the Plotly example.""" +from enum import Enum + import plotly.graph_objects as go from plotly.data import iris from pydantic import BaseModel, Field, computed_field @@ -168,20 +169,28 @@ IRIS_DATA = iris() * **Pydantic definition**: Here we define the controls for our view. ```python +class AxisOptions(str, Enum): + sepal_length = "sepal_length" + sepal_width = "sepal_width" + petal_length = "petal_length" + petal_width = "petal_width" + +class PlotTypeOptions(str, Enum): + heatmap = "Heatmap" + scatter = "Scatterplot" + class PlotlyConfig(BaseModel): """Configuration class for the Plotly example.""" - axis_options: list[str] = ["sepal_length", "sepal_width", "petal_length", "petal_width"] - x_axis: str = Field(default="sepal_length", title="X Axis") - y_axis: str = Field(default="sepal_width", title="Y Axis") - z_axis: str = Field(default="petal_length", title="Color") - plot_type: str = Field(default="scatter", title="Plot Type") - plot_type_options: list[str] = ["heatmap", "scatter"] + x_axis: AxisOptions = Field(default=AxisOptions.sepal_length, title="X Axis") + y_axis: AxisOptions = Field(default=AxisOptions.sepal_width, title="Y Axis") + z_axis: AxisOptions = Field(default=AxisOptions.petal_length, title="Color") + plot_type: PlotTypeOptions = Field(default=PlotTypeOptions.scatter, title="Plot Type") @computed_field # type: ignore @property def is_not_heatmap(self) -> bool: - return self.plot_type != "heatmap" + return self.plot_type != PlotTypeOptions.heatmap ``` * **Plotly Figure Setup**: Finally, we define the Plotly figure based on the user\'s selection. go.Heatmap and go.Scatter define Plotly `traces`, which represent individual components of the figure. @@ -189,13 +198,13 @@ class PlotlyConfig(BaseModel): ```python def get_figure(self) -> go.Figure: match self.plot_type: - case "heatmap": + case PlotTypeOptions.heatmap: plot_data = go.Heatmap( x=IRIS_DATA[self.x_axis].tolist(), y=IRIS_DATA[self.y_axis].tolist(), z=IRIS_DATA[self.z_axis].tolist() ) - case "scatter": + case PlotTypeOptions.scatter: plot_data = go.Scatter( x=IRIS_DATA[self.x_axis].tolist(), y=IRIS_DATA[self.y_axis].tolist(), @@ -341,10 +350,10 @@ class PyVistaView: vuetify.VCardTitle("PyVista") with GridLayout(columns=5, classes="mb-2", valign="center"): InputField( - v_model="pyvista_config.colormap", column_span=2, items="pyvista_config.colormap_options", type="select" + v_model="pyvista_config.colormap", column_span=2, type="select" ) InputField( - v_model="pyvista_config.opacity", column_span=2, items="pyvista_config.opacity_options", type="select" + v_model="pyvista_config.opacity", column_span=2, type="select" ) vuetify.VBtn("Render", click=self.update) with HBoxLayout(halign="center", height="50vh"): @@ -362,6 +371,8 @@ class PyVistaView: ```python """Configuration for the PyVista example.""" +from enum import Enum + from pydantic import BaseModel, Field from pyvista import Plotter, examples @@ -371,13 +382,22 @@ KNEE_DATA = examples.download_knee_full() * **Pydantic Configuration:** The `Fields` defined here will be passed to [`Plotter.add_volume`](https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter.add_volume). ```python +class ColormapOptions(str, Enum): + viridis = "viridis" + autumn = "autumn" + coolwarm = "coolwarm" + twilight = "twilight" + jet = "jet" + +class OpacityOptions(str, Enum): + linear = "linear" + sigmoid = "sigmoid" + class PyVistaConfig(BaseModel): """Configuration class for the PyVista example.""" - colormap_options: list[str] = ["viridis", "autumn", "coolwarm", "twilight", "jet"] - opacity_options: list[str] = ["linear", "sigmoid"] - colormap: str = Field(default="viridis", title="Color Transfer Function") - opacity: str = Field(default="linear", title="Opacity Transfer Function") + colormap: ColormapOptions = Field(default=ColormapOptions.viridis, title="Color Transfer Function") + opacity: OpacityOptions = Field(default=OpacityOptions.linear, title="Opacity Transfer Function") ``` * **Rendering:** `add_volume` will return an actor. In practice, you may get better performance by manipulating that actor instead of doing a full re-render.