render_widget now attaches it's return value to the decorated function

examples/ipyleaflet/app.py

@@ -1,46 +1,50 @@
 import ipyleaflet as L
-from htmltools import css
-from shiny import *
+from shiny import App, reactive, render, req, ui
 
-from shinywidgets import output_widget, reactive_read, register_widget
+from shinywidgets import output_widget, reactive_read, render_widget
 
-app_ui = ui.page_fillable(
-    ui.div(
+app_ui = ui.page_sidebar(
+    ui.sidebar(
         ui.input_slider("zoom", "Map zoom level", value=4, min=1, max=10),
+    ),
+    ui.card(
         ui.output_text("map_bounds"),
-        style=css(
-            display="flex", justify_content="center", align_items="center", gap="2rem"
-        ),
+        fill=False
+    ),
+    ui.card(
+        output_widget("lmap")
     ),
-    output_widget("map"),
+    title="ipyleaflet demo"
 )
 
 
 def server(input, output, session):
 
-    # Initialize and display when the session starts (1)
-    map = L.Map(center=(52, 360), zoom=4)
-    register_widget("map", map)
+    @output
+    @render_widget
+    def lmap():
+        return L.Map(center=(52, 360), zoom=4)
 
     # When the slider changes, update the map's zoom attribute (2)
     @reactive.Effect
     def _():
-        map.zoom = input.zoom()
+        lmap.widget.zoom = input.zoom()
 
     # When zooming directly on the map, update the slider's value (2 and 3)
     @reactive.Effect
     def _():
-        ui.update_slider("zoom", value=reactive_read(map, "zoom"))
+        zoom = reactive_read(lmap.widget, "zoom")
+        ui.update_slider("zoom", value=zoom)
 
     # Everytime the map's bounds change, update the output message (3)
     @output
     @render.text
     def map_bounds():
-        b = reactive_read(map, "bounds")
+        b = reactive_read(lmap.widget, "bounds")
         req(b)
-        lat = [b[0][0], b[0][1]]
-        lon = [b[1][0], b[1][1]]
-        return f"The current latitude is {lat} and longitude is {lon}"
+        lat = [round(x) for x in [b[0][0], b[0][1]]]
+        lon = [round(x) for x in [b[1][0], b[1][1]]]
+        return f"The map bounds is currently {lat} / {lon}"
 
 
 app = App(app_ui, server)

examples/ipywidgets/app.py

@@ -4,29 +4,32 @@
 
 from shinywidgets import *
 
-app_ui = ui.page_fluid(output_widget("slider"), ui.output_text("value"))
+app_ui = ui.page_fluid(output_widget("slider", fillable=False, fill=False), ui.output_text("slider_val"))
 
 
 def server(input: Inputs, output: Outputs, session: Session):
-    s: Widget = ipy.IntSlider(
-        value=7,
-        min=0,
-        max=10,
-        step=1,
-        description="Test:",
-        disabled=False,
-        continuous_update=False,
-        orientation="horizontal",
-        readout=True,
-        readout_format="d",
-    )
-
-    register_widget("slider", s)
-
-    @output(id="value")
+
+    @output
+    @render_widget
+    def slider():
+        return ipy.IntSlider(
+            value=7,
+            min=0,
+            max=10,
+            step=1,
+            description="Test:",
+            disabled=False,
+            continuous_update=False,
+            orientation="horizontal",
+            readout=True,
+            readout_format="d",
+        )
+
+    @output
     @render.text
-    def _():
-        return f"The value of the slider is: {reactive_read(s, 'value')}"
+    def slider_val():
+        val = reactive_read(slider.widget, "value")
+        return f"The value of the slider is: {val}"
 
 
 app = App(app_ui, server, debug=True)

examples/plotly/app.py

@@ -3,7 +3,7 @@
 from shiny import *
 from sklearn.linear_model import LinearRegression
 
-from shinywidgets import output_widget, register_widget
+from shinywidgets import output_widget, render_widget
 
 # Generate some data and fit a linear regression
 n = 10000
@@ -15,35 +15,37 @@
 
 app_ui = ui.page_fillable(
     ui.input_checkbox("show_fit", "Show fitted line", value=True),
-    output_widget("scatterplot"),
+    output_widget("scatterplot")
 )
 
 
 def server(input, output, session):
 
-    scatterplot = go.FigureWidget(
-        data=[
-            go.Scattergl(
-                x=x,
-                y=y,
-                mode="markers",
-                marker=dict(color="rgba(0, 0, 0, 0.05)", size=5),
-            ),
-            go.Scattergl(
-                x=xgrid,
-                y=fit.intercept_ + fit.coef_[0] * xgrid,
-                mode="lines",
-                line=dict(color="red", width=2),
-            ),
-        ],
-        layout={"showlegend": False},
-    )
-
-    register_widget("scatterplot", scatterplot)
+    @output
+    @render_widget
+    def scatterplot():
+        return go.FigureWidget(
+            data=[
+                go.Scattergl(
+                    x=x,
+                    y=y,
+                    mode="markers",
+                    marker=dict(color="rgba(0, 0, 0, 0.05)", size=5),
+                ),
+                go.Scattergl(
+                    x=xgrid,
+                    y=fit.intercept_ + fit.coef_[0] * xgrid,
+                    mode="lines",
+                    line=dict(color="red", width=2),
+                ),
+            ],
+            layout={"showlegend": False},
+        )
 
     @reactive.Effect
     def _():
-        scatterplot.data[1].visible = input.show_fit()
+        plt.data[1].visible = input.show_fit()
+
 
 
 app = App(app_ui, server)

examples/pydeck/app.py

@@ -5,44 +5,45 @@
 
 app_ui = ui.page_fillable(
     ui.input_slider("zoom", "Zoom", 0, 20, 6, step=1),
-    output_widget("pydeck")
+    output_widget("deckmap")
 )
 
 def server(input: Inputs, output: Outputs, session: Session):
 
-    UK_ACCIDENTS_DATA = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/3d-heatmap/heatmap-data.csv"
-
-    layer = pdk.Layer(
-        "HexagonLayer",  # `type` positional argument is here
-        UK_ACCIDENTS_DATA,
-        get_position=["lng", "lat"],
-        auto_highlight=True,
-        elevation_scale=50,
-        pickable=True,
-        elevation_range=[0, 3000],
-        extruded=True,
-        coverage=1,
-    )
-
-    view_state = pdk.ViewState(
-        longitude=-1.415,
-        latitude=52.2323,
-        zoom=6,
-        min_zoom=5,
-        max_zoom=15,
-        pitch=40.5,
-        bearing=-27.36,
-    )
-
-    deck = pdk.Deck(layers=[layer], initial_view_state=view_state)
-
-    # Register either the deck (or deck_widget) instance
-    register_widget("pydeck", deck)
+    @output
+    @render_widget
+    def deckmap():
+
+        UK_ACCIDENTS_DATA = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/3d-heatmap/heatmap-data.csv"
+
+        layer = pdk.Layer(
+            "HexagonLayer",  # `type` positional argument is here
+            UK_ACCIDENTS_DATA,
+            get_position=["lng", "lat"],
+            auto_highlight=True,
+            elevation_scale=50,
+            pickable=True,
+            elevation_range=[0, 3000],
+            extruded=True,
+            coverage=1,
+        )
+
+        view_state = pdk.ViewState(
+            longitude=-1.415,
+            latitude=52.2323,
+            zoom=6,
+            min_zoom=5,
+            max_zoom=15,
+            pitch=40.5,
+            bearing=-27.36,
+        )
+
+        return pdk.Deck(layers=[layer], initial_view_state=view_state)
 
     @reactive.Effect()
     def _():
-        deck.initial_view_state.zoom = input.zoom()
-        deck.update()
+        deckmap.value.initial_view_state.zoom = input.zoom()
+        deckmap.value.update()
 
 
 app = App(app_ui, server)

setup.cfg

@@ -34,7 +34,8 @@ setup_requires =
 install_requires =
     ipywidgets>=7.6.5
     jupyter_core
-    shiny>=0.5.1.9003
+    # shiny>=0.6.1.9003
+    shiny @ git+https://github.com/posit-dev/py-shiny.git
     python-dateutil>=2.8.2
     # Needed because of https://github.com/python/importlib_metadata/issues/411
     importlib-metadata>=4.8.3,<5; python_version < "3.8"