Initial demo code for viewer extensions

examples/serve/demo3/compute_indexes.py

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+import xarray as xr
+
+
+def compute_indexes(dataset):
+    b04 = dataset.B04
+    b05 = dataset.B05
+    b06 = dataset.B06
+    b08 = dataset.B08
+    b11 = dataset.B11
+    scl = dataset.SCL
+
+    # See https://gisgeography.com/sentinel-2-bands-combinations/
+
+    # moisture_index
+    #
+    moisture_index = (b08 - b11) / (b08 + b11)
+    moisture_index.attrs.update(
+        color_value_min=0.0,
+        color_value_max=0.5,
+        color_bar_name="Blues",
+        units="-",
+        description="Simple moisture index: (B08-B11) / (B08+B11)",
+    )
+    # where valid and not cloud
+    moisture_index = moisture_index.where((scl >= 2) & (scl <= 7))
+
+    # vegetation_index
+    #
+    vegetation_index = (b08 - b04) / (b08 + b04)
+    vegetation_index.attrs.update(
+        color_value_min=0.0,
+        color_value_max=0.25,
+        color_bar_name="Greens",
+        units="-",
+        description="Simple vegetation index or NDVI: (B08-B04) / (B08+B04)",
+    )
+    # where water
+    vegetation_index = vegetation_index.where(scl == 6)
+
+    # chlorophyll_index
+    #
+    b_from, b_peek, b_to = b04, b05, b06
+    wlen_from = b04.attrs["wavelength"]
+    wlen_peek = b05.attrs["wavelength"]
+    wlen_to = b06.attrs["wavelength"]
+    f = (wlen_peek - wlen_from) / (wlen_to - wlen_from)
+    chlorophyll_index = (b_peek - b_from) - f * (b_to - b_from)
+    chlorophyll_index.attrs.update(
+        color_value_min=0.0,
+        color_value_max=0.025,
+        color_bar_name="viridis",
+        units="-",
+        description="Maximum chlorophyll index: (B05-B04) - f * (B06-B04)",
+    )
+    # where water
+    chlorophyll_index = chlorophyll_index.where(scl == 6)
+
+    return xr.Dataset(
+        dict(
+            moisture_index=moisture_index,
+            vegetation_index=vegetation_index,
+            chlorophyll_index=chlorophyll_index,
+        )
+    )

examples/serve/demo3/config.yaml

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+DatasetAttribution:
+  - "© by Brockmann Consult GmbH 2024, contains modified Copernicus Data 2019, processed by ESA"
+
+DatasetChunkCacheSize: 100M
+
+DataStores:
+  - Identifier: opensr-test
+    StoreId: s3
+    StoreParams:
+      root: opensr-test
+    Datasets:
+      - Path: openSR_musselbeds_use_case_waddensea_S2L2A_2018-2022.levels
+        Identifier: waddensea
+        Title: Wadden Sea
+        Style: S2L2A
+        Augmentation:
+          Path: compute_indexes.py
+          Function: compute_indexes
+
+Styles:
+  - Identifier: S2L2A
+    ColorMappings:
+      B01:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B02:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B03:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B04:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B05:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B06:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B07:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B08:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B8A:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B09:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B10:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B11:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      B12:
+        ColorBar: "Greys_r"
+        ValueRange: [0., 0.25]
+      SCL:
+        ColorBar: "Accent"
+        ValueRange: [ 0, 255 ]
+      rgb:
+        Red:
+          Variable: B04
+          ValueRange: [0., 0.25]
+        Green:
+          Variable: B03
+          ValueRange: [0., 0.25]
+        Blue:
+          Variable: B02
+          ValueRange: [0., 0.25]
+
+Viewer:
+    Extensions:
+      - Path: my_viewer_ext.ext
+
+ServiceProvider:
+  ProviderName: "Brockmann Consult GmbH"
+  ProviderSite: "https://www.brockmann-consult.de"
+  ServiceContact:
+    IndividualName: "Norman Fomferra"
+    PositionName: "Senior Software Engineer"
+    ContactInfo:
+      Phone:
+        Voice: "+49 4152 889 303"
+        Facsimile: "+49 4152 889 330"
+      Address:
+        DeliveryPoint: "HZG / GITZ"
+        City: "Geesthacht"
+        AdministrativeArea: "Herzogtum Lauenburg"
+        PostalCode: "21502"
+        Country: "Germany"
+        ElectronicMailAddress: "[email protected]"

examples/serve/demo3/my_viewer_ext/__init__.py

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+from dashipy import Extension
+from .my_panel_1 import panel as my_panel_1
+
+ext = Extension(__name__)
+ext.add(my_panel_1)

examples/serve/demo3/my_viewer_ext/my_panel_1.py

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+from dashipy import Component, Input, State, Output
+from dashipy.components import Box, Dropdown, Checkbox, Typography
+from dashipy.demo.contribs import Panel
+from dashipy.demo.context import Context
+
+
+panel = Panel(__name__, title="Panel B")
+
+
+COLORS = [("red", 0), ("green", 1), ("blue", 2), ("yellow", 3)]
+
+
+@panel.layout(
+    Input(source="app", property="control.selectedDatasetId"),
+)
+def render_panel(
+    ctx: Context,
+    dataset_id: str = "",
+) -> Component:
+
+    opaque = False
+    color = 0
+
+    opaque_checkbox = Checkbox(
+        id="opaque",
+        value=opaque,
+        label="Opaque",
+    )
+
+    color_dropdown = Dropdown(
+        id="color",
+        value=color,
+        label="Color",
+        options=COLORS,
+        style={"flexGrow": 0, "minWidth": 80},
+    )
+
+    info_text = Typography(
+        id="info_text", text=update_info_text(ctx, dataset_id, opaque, color)
+    )
+
+    return Box(
+        style={
+            "display": "flex",
+            "flexDirection": "column",
+            "width": "100%",
+            "height": "100%",
+            "gap": "6px",
+        },
+        children=[opaque_checkbox, color_dropdown, info_text],
+    )
+
+
+# noinspection PyUnusedLocal
+@panel.callback(
+    Input(source="app", property="control.selectedDatasetId"),
+    Input("opaque"),
+    Input("color"),
+    State("info_text", "text"),
+    Output("info_text", "text"),
+)
+def update_info_text(
+    ctx: Context,
+    dataset_id: str = "",
+    opaque: bool = False,
+    color: int = 0,
+    info_text: str = "",
+) -> str:
+    opaque = opaque or False
+    color = color if color is not None else 0
+    return (
+        f"The dataset is {dataset_id},"
+        f" the color is {COLORS[color][0]} and"
+        f" it {'is' if opaque else 'is not'} opaque."
+        f" The length of the last info text"
+        f" was {len(info_text or "")}."
+    )