{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Catalog Search\n",
    "\n",
    "Check data availability & download image preview quicklooks via the catalog search. You can filter by various parameters e.g. time period, area of interest, cloud cover etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import up42\n",
    "up42.authenticate(project_id=\"your project ID\", project_api_key=\"your-project-API-key\")\n",
    "\n",
    "catalog = up42.initialize_catalog()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See available data collections\n",
    "\n",
    "Filter on the \"name\" key to see the available collections."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "collections = catalog.get_collections()\n",
    "\n",
    "[c[\"name\"] for c in collections]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search available scenes in aoi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#aoi = up42.read_vector_file(\"data/aoi_washington.geojson\", as_dataframe=False)\n",
    "aoi = up42.get_example_aoi(location=\"Berlin\", as_dataframe=True)\n",
    "aoi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_parameters = catalog.construct_parameters(geometry=aoi, \n",
    "                                                 start_date=\"2018-01-01\",\n",
    "                                                 end_date=\"2022-12-31\",\n",
    "                                                 collections=[\"phr\"],\n",
    "                                                 max_cloudcover=20,\n",
    "                                                 sortby=\"cloudCoverage\", \n",
    "                                                 limit=5)\n",
    "search_results = catalog.search(search_parameters=search_parameters)\n",
    "display(search_results.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "catalog.plot_coverage(scenes=search_results, \n",
    "                      aoi=aoi, \n",
    "                      legend_column=\"sceneId\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download & Visualize quicklooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "catalog.download_quicklooks(image_ids=search_results.id.to_list(), sensor=\"pleiades\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "catalog.map_quicklooks(scenes=search_results, aoi=aoi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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