{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "# GeoLibre in Jupyter\n",
    "\n",
    "The full GeoLibre GIS app, embedded in a notebook cell, with a leafmap-style Python API.\n",
    "Run the cells below one at a time. After the map renders, edits you make in the UI (panning,\n",
    "adding layers) are readable back from Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install geolibre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from geolibre import Map\n",
    "\n",
    "m = Map(center=(-100, 40), zoom=4, height=\"800px\")\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3",
   "metadata": {},
   "source": [
    "## Add a GeoJSON layer\n",
    "\n",
    "`add_geojson` accepts a dict, a file path, a URL, a JSON string, or a GeoDataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = (\n",
    "    \"https://github.com/opengeos/datasets/releases/download/world/world_cities.geojson\"\n",
    ")\n",
    "m.add_geojson(url, name=\"World Cities\", circleRadius=4, fillColor=\"#ef4444\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5",
   "metadata": {},
   "source": [
    "## Add a raster XYZ tile layer and move the view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6",
   "metadata": {},
   "outputs": [],
   "source": [
    "m.add_tile_layer(\n",
    "    \"https://tile.openstreetmap.org/{z}/{x}/{y}.png\",\n",
    "    name=\"OpenStreetMap\",\n",
    "    attribution=\"(c) OpenStreetMap contributors\",\n",
    ")\n",
    "m.set_center(-122.4, 37.77, zoom=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "## Add a Cloud Optimized GeoTIFF (COG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "m.add_cog(\n",
    "    \"https://data.source.coop/giswqs/opengeos/nlcd_2021_land_cover_30m.tif\",\n",
    "    name=\"Raster\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9",
   "metadata": {},
   "source": [
    "## Read state back from the UI\n",
    "\n",
    "Pan or zoom the map above, then run this cell. The center reflects the live UI view."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [],
   "source": [
    "proj = m.to_project()\n",
    "print(\"center:\", proj[\"mapView\"][\"center\"], \"zoom:\", round(proj[\"mapView\"][\"zoom\"], 2))\n",
    "print(\"layers:\", [layer[\"name\"] for layer in proj[\"layers\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11",
   "metadata": {},
   "source": [
    "## Save and reload a project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12",
   "metadata": {},
   "outputs": [],
   "source": [
    "m.save_project(\"my-map.geolibre.json\")\n",
    "\n",
    "m2 = Map()\n",
    "m2.load_project(\"my-map.geolibre.json\")\n",
    "m2"
   ]
  }
 ],
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