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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Solara Demo Notebook\n",
"\n",
"This notebook is identical to `fire.py` + `pages/01_leafmap.py`. Running this notebook interactively (e.g. in Jupyter or VSCode) should render the solara page produced by `pages/01_leafmap.py`, and can be used for testing/developing the solara interface."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2023-12-19 22:46:47,275 - distributed.utils_perf - WARNING - full garbage collections took 23% CPU time recently (threshold: 10%)\n",
"2023-12-19 22:46:47,701 - distributed.utils_perf - WARNING - full garbage collections took 23% CPU time recently (threshold: 10%)\n",
"2023-12-19 22:46:47,973 - distributed.utils_perf - WARNING - full garbage collections took 23% CPU time recently (threshold: 10%)\n",
"2023-12-19 22:46:48,573 - distributed.utils_perf - WARNING - full garbage collections took 23% CPU time recently (threshold: 10%)\n"
]
}
],
"source": [
"import leafmap\n",
"import solara\n",
"from fire import *"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# generate COGs for the selected polygon.\n",
"# This task is run by GitHub Actions and cached in HuggingFace Datasets, so can be skipped\n",
"run()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"zoom = solara.reactive(14)\n",
"center = solara.reactive((34, -116))\n",
"\n",
"before_url = \"https://huggingface.co/datasets/cboettig/solara-data/resolve/main/before.tif\"\n",
"after_url = \"https://huggingface.co/datasets/cboettig/solara-data/resolve/main/after.tif\"\n",
"\n",
"# customize the style!\n",
"style = {\n",
" \"stroke\": False,\n",
" \"fill\": True,\n",
" \"fillColor\": \"#ff6666\",\n",
" \"fillOpacity\": 0.5,\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"class Map(leafmap.Map):\n",
" def __init__(self, **kwargs):\n",
" super().__init__(**kwargs)\n",
" # Add what you want below\n",
" # self.add_gdf(jtree, layer_name = \"Joshua Tree NP\")\n",
" self.add_gdf(jtree_fires, layer_name = \"All Fires\", style=style)\n",
" self.add_gdf(big, layer_name = big.FIRE_NAME.item())\n",
" #self.add_raster(\"before.tif\", layer_name = \"before\", colormap=\"viridis\")\n",
" #self.add_raster(\"after.tif\", layer_name = \"after\", colormap=\"viridis\")\n",
" self.split_map(before_url, after_url, \n",
" left_label= \"before fire\", \n",
" right_label = \"after fire\")\n",
" #self.add_stac_gui()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"@solara.component\n",
"def Page():\n",
" with solara.Column(style={\"min-width\": \"500px\"}):\n",
" # solara components support reactive variables\n",
" # solara.SliderInt(label=\"Zoom level\", value=zoom, min=1, max=20)\n",
" # using 3rd party widget library require wiring up the events manually\n",
" # using zoom.value and zoom.set\n",
" Map.element( # type: ignore\n",
" zoom=zoom.value,\n",
" on_zoom=zoom.set,\n",
" center=center.value,\n",
" on_center=center.set,\n",
" scroll_wheel_zoom=True,\n",
" toolbar_ctrl=False,\n",
" data_ctrl=False,\n",
" height=\"780px\",\n",
" )\n",
" solara.Text(f\"Zoom: {zoom.value}\")\n",
" solara.Text(f\"Center: {center.value}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c61f499623084c55a0d68925148fdad2",
"version_major": 2,
"version_minor": 0
},
"text/html": [
"Cannot show widget. You probably want to rerun the code cell above (<i>Click in the code cell, and press Shift+Enter <kbd>⇧</kbd>+<kbd>↩</kbd></i>)."
],
"text/plain": [
"Cannot show ipywidgets in text"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Page()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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