{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 30 seconds example\n",
    "\n",
    "In this example a **new workflow** consisting of [**Sentinel-2 L2A data**](https://marketplace.up42.com/block/c4cb8913-2ef3-4e82-a426-65ea8faacd9a)\n",
    "and [**Sharpening Filter**](https://marketplace.up42.com/block/e374ea64-dc3b-4500-bb4b-974260fb203e) is created.\n",
    "The area of interest and workflow parameters are defined. After **running the job**, \n",
    "the results are **downloaded** and visualized."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import up42"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "up42.authenticate(project_id=\"12345\", \n",
    "                  project_api_key=\"67890\")\n",
    "project = up42.initialize_project()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Construct workflow\n",
    "workflow = project.create_workflow(name=\"30-seconds-workflow\", use_existing=True)\n",
    "#print(up42.get_blocks(basic=True))\n",
    "input_tasks = [\"Sentinel-2 L2A Visual (GeoTIFF)\", \"Sharpening Filter\"]\n",
    "workflow.add_workflow_tasks(input_tasks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the aoi and input parameters of the workflow to run it.\n",
    "# Can also use up42.draw_aoi(), up42.read_vector_file(), provide a FeatureCollection, GeoDataFrame etc.\n",
    "aoi = up42.get_example_aoi(as_dataframe=True)\n",
    "input_parameters = workflow.construct_parameters(geometry=aoi, \n",
    "                                                 geometry_operation=\"bbox\", \n",
    "                                                 start_date=\"2018-01-01\",\n",
    "                                                 end_date=\"2020-12-31\",\n",
    "                                                 limit=1)\n",
    "input_parameters[\"esa-s2-l2a-gtiff-visual:1\"].update({\"max_cloud_cover\":5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Price estimation\n",
    "workflow.estimate_job(input_parameters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run a test job to query data availability and check the configuration.\n",
    "test_job = workflow.test_job(input_parameters, track_status=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run the actual job.\n",
    "job = workflow.run_job(input_parameters, track_status=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "job.download_results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "job.plot_results(figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#job.map_results(bands=[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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