Read_D-flight_data.ipynb

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   "cell_type": "code",
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   "source": [
    "import ast, json, geopandas as gpd, pandas as pd\n",
    "from shapely.geometry import shape\n",
    "from shapely.ops import unary_union\n",
    "from bs4 import BeautifulSoup"
   ],
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   "source": [
    "# Leggi il contenuto del file JSON in formato ASCII\n",
    "with open('D-flight data/newoutWKT.txt', 'r') as file:\n",
    "    content = file.read()\n",
    "    data = ast.literal_eval(content)"
   ],
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   "source": [
    "crs_string = data['payload']['crs']['properties']['name']\n",
    "split_values = crs_string.split(\"::\")\n",
    "crs = split_values[-1]"
   ],
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   "cell_type": "code",
   "execution_count": 4,
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   "source": [
    "# Crea una lista vuota per memorizzare i GeoDataFrames\n",
    "gdfs = []\n",
    "\n",
    "# Itera attraverso gli elementi della lista data['payload']['features'] e crea un GeoDataFrame per ciascun elemento\n",
    "for feature in data['payload']['features']:\n",
    "    \n",
    "    properties = feature['properties']\n",
    "        \n",
    "    geometry = shape(feature['geometry'])\n",
    "    \n",
    "    # Crea un dizionario per le colonne del GeoDataFrame\n",
    "    columns_dict = {'geometry': [geometry]}\n",
    "    \n",
    "    # Itera attraverso le chiavi di properties\n",
    "    for key in properties.keys():\n",
    "        # Aggiungi la colonna al dizionario con il valore corrispondente o None se mancante\n",
    "        columns_dict[key] = [properties.get(key, None)]\n",
    "    \n",
    "    # Crea il GeoDataFrame utilizzando il dizionario di colonne\n",
    "    gdf = gpd.GeoDataFrame(columns_dict)\n",
    "    \n",
    "    gdfs.append(gdf)\n"
   ],
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   "cell_type": "code",
   "execution_count": 5,
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   "source": [
    "# Usa la funzione concat per concatenare i GeoDataFrames nella lista\n",
    "concatenated_gdf = gpd.GeoDataFrame(pd.concat(gdfs, ignore_index=True))"
   ],
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   "source": [
    "concatenated_gdf = concatenated_gdf.set_crs(crs)"
   ],
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     "text": [
      "C:\\Users\\niett\\AppData\\Local\\Temp\\ipykernel_20676\\2769365688.py:3: MarkupResemblesLocatorWarning: The input looks more like a filename than markup. You may want to open this file and pass the filehandle into Beautiful Soup.\n",
      "  soup = BeautifulSoup(html_text, 'html.parser')\n"
     ]
    }
   ],
   "source": [
    "# Definisci una funzione per estrarre il testo da una cella HTML\n",
    "def extract_text_from_html(html_text):\n",
    "    soup = BeautifulSoup(html_text, 'html.parser')\n",
    "    return soup.get_text()\n",
    "\n",
    "# Applica la funzione a ogni cella della colonna 'rule' e crea una nuova colonna 'rule_text'\n",
    "concatenated_gdf['rule'] = concatenated_gdf['rule'].apply(extract_text_from_html)\n",
    "concatenated_gdf['regola'] = concatenated_gdf['regola'].apply(extract_text_from_html)"
   ],
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   "execution_count": 8,
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     "text": [
      "C:\\Users\\niett\\AppData\\Local\\Temp\\ipykernel_20676\\157396565.py:5: UserWarning: Column names longer than 10 characters will be truncated when saved to ESRI Shapefile.\n",
      "  concatenated_gdf.to_file(output_shapefile_path)\n"
     ]
    }
   ],
   "source": [
    "# Specifica il percorso del file shapefile di destinazione (senza estensione .shp)\n",
    "output_shapefile_path = \"D-flight data/D_flight.shp\"\n",
    "\n",
    "# Esporta il GeoDataFrame come shapefile\n",
    "concatenated_gdf.to_file(output_shapefile_path)"
   ],
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RAVENNA</td>\n      <td>45</td>\n      <td>ATM09</td>\n      <td>The geographical area is defined starting from...</td>\n      <td>La zona geografica è definita a partire da alt...</td>\n      <td>Elisuperficie autorizzata ENAC</td>\n      <td>0</td>\n      <td>45</td>\n      <td>2023-08-31T14:07:32.120Z</td>\n      <td>None</td>\n      <td>45</td>\n      <td>avio_5</td>\n      <td>None</td>\n      <td>Open max height</td>\n      <td>Open altezza max</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>MULTIPOLYGON (((285371.204 4928752.039, 285323...</td>\n      <td>473405</td>\n      <td>AGIP - RAVENNA</td>\n      <td>25</td>\n      <td>ATM09</td>\n      <td>The geographical area is defined starting from...</td>\n      <td>La zona geografica è definita a partire da alt...</td>\n      <td>Elisuperficie autorizzata ENAC</td>\n      <td>0</td>\n      <td>25</td>\n      <td>2023-08-31T14:07:32.120Z</td>\n      <td>None</td>\n      <td>25</td>\n      <td>avio_5</td>\n      <td>None</td>\n      <td>Open max height</td>\n      <td>Open altezza max</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>420</th>\n      <td>POLYGON ((88030.389 4894542.766, 89758.788 489...</td>\n      <td>3528</td>\n      <td>W2891/23</td>\n      <td>0</td>\n      <td>NO_FLY_ZONE</td>\n      <td>\"TEMPORARY RESERVED AREAS AS FOR NOTAM W2891 A...</td>\n      <td>\"AREA TEMPORANEAMENTE RISERVATE COME DA NOTAM ...</td>\n      <td>NO_FLY_ZONE</td>\n      <td>0</td>\n      <td>122</td>\n      <td>2023-09-10T22:01:00Z</td>\n      <td>2023-10-13T21:59:00Z</td>\n      <td>-1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Descrizione: \\n\\nInserita da: cpezzella\\n</td>\n      <td></td>\n      <td>cpezzella</td>\n    </tr>\n    <tr>\n      <th>421</th>\n      <td>POLYGON ((87144.129 4891809.829, 87739.077 489...</td>\n      <td>3541</td>\n      <td>NOTAM W2876/23 - AREA 1</td>\n      <td>0</td>\n      <td>NO_FLY_ZONE</td>\n      <td>Schedule (UTC):  SEP 11-14 18-22 25-29 SR-SS, ...</td>\n      <td>Schedule (UTC):  SEP 11-14 18-22 25-29 SR-SS, ...</td>\n      <td>NO_FLY_ZONE</td>\n      <td>0</td>\n      <td>122</td>\n      <td>2023-09-11T00:00:00Z</td>\n      <td>2023-10-06T23:59:00Z</td>\n      <td>-1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Descrizione: CIV UNMANNED ACFT ACTIVITY WILL T...</td>\n      <td>CIV UNMANNED ACFT ACTIVITY WILL TAKE PLACE WI ...</td>\n      <td>cpezzella</td>\n    </tr>\n    <tr>\n      <th>422</th>\n      <td>POLYGON ((280057.860 4851440.075, 292128.223 4...</td>\n      <td>3542</td>\n      <td>NOTAM W2884/23</td>\n      <td>0</td>\n      <td>NO_FLY_ZONE</td>\n      <td>Schedule (UTC):  19-22 25-28 0600-2200        ...</td>\n      <td>Schedule (UTC):  19-22 25-28 0600-2200        ...</td>\n      <td>NO_FLY_ZONE</td>\n      <td>0</td>\n      <td>1921</td>\n      <td>2023-09-19T06:00:00Z</td>\n      <td>2023-09-28T22:00:00Z</td>\n      <td>-1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Descrizione: MILITARY FIRING AREA (CARPEGNA-SS...</td>\n      <td>MILITARY FIRING AREA (CARPEGNA-SSW SAN MARINO)...</td>\n      <td>cpezzella</td>\n    </tr>\n    <tr>\n      <th>423</th>\n      <td>POLYGON ((161900.166 4958567.382, 161778.754 4...</td>\n      <td>3543</td>\n      <td>NOTAM W2885/23</td>\n      <td>0</td>\n      <td>NO_FLY_ZONE</td>\n      <td>Schedule (UTC):  DAILY 1500-0400              ...</td>\n      <td>Schedule (UTC):  DAILY 1500-0400              ...</td>\n      <td>NO_FLY_ZONE</td>\n      <td>0</td>\n      <td>610</td>\n      <td>2023-09-08T15:00:00Z</td>\n      <td>2023-10-10T04:00:00Z</td>\n      <td>-1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Descrizione: OVERFLYING FORBIDDEN TO ALL VFR T...</td>\n      <td>OVERFLYING FORBIDDEN TO ALL VFR TRAFFIC, ULTRA...</td>\n      <td>cpezzella</td>\n    </tr>\n    <tr>\n      <th>424</th>\n      <td>POLYGON ((87257.314 4891833.707, 88309.975 489...</td>\n      <td>3545</td>\n      <td>NOTAM W2876/23 - AREA 2</td>\n      <td>0</td>\n      <td>NO_FLY_ZONE</td>\n      <td>Schedule (UTC):  SEP 11-14 18-22 25-29 SR-SS, ...</td>\n      <td>Schedule (UTC):  SEP 11-14 18-22 25-29 SR-SS, ...</td>\n      <td>NO_FLY_ZONE</td>\n      <td>0</td>\n      <td>122</td>\n      <td>2023-09-11T00:00:00Z</td>\n      <td>2023-10-06T23:59:00Z</td>\n      <td>-1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Descrizione: CIV UNMANNED ACFT ACTIVITY WILL T...</td>\n      <td>CIV UNMANNED ACFT ACTIVITY WILL TAKE PLACE WI ...</td>\n      <td>cpezzella</td>\n    </tr>\n  </tbody>\n</table>\n<p>425 rows × 20 columns</p>\n</div>"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concatenated_gdf"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-05T08:52:27.662129200Z",
     "start_time": "2023-10-05T08:52:27.646287Z"
    }
   },
   "id": "d569e5ab5f44625e"
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "outputs": [],
   "source": [
    "# Ordina il GeoDataFrame in base alla colonna 'quota_max' in ordine decrescente\n",
    "concatenated_gdf = concatenated_gdf.sort_values(by='quota_max', ascending=False)\n",
    "\n",
    "# Inizializza un GeoDataFrame vuoto per il risultato\n",
    "gdf_60 = concatenated_gdf[concatenated_gdf['quota_max'] == 60].copy()\n",
    "\n",
    "gdf_result = gdf_60.dissolve(by='quota_max', as_index=False)\n",
    "\n",
    "# Itera attraverso i valori di 'quota_max' in ordine decrescente\n",
    "for quota_max_value in concatenated_gdf['quota_max'].unique():\n",
    "    if quota_max_value != 60:  # Escludi il valore 60\n",
    "        sub_gdf = concatenated_gdf[concatenated_gdf['quota_max'] == quota_max_value].copy()\n",
    "        \n",
    "        gdf_dissolve = sub_gdf.dissolve(by='quota_max', as_index=False)    \n",
    "        \n",
    "        gdf_result = gdf_result.overlay(gdf_dissolve, how='difference')\n",
    "        \n",
    "        gdf_result = pd.concat([gdf_result, gdf_dissolve])\n",
    "        \n",
    "# Alla fine delle tue operazioni, seleziona solo le colonne 'geometry' e 'quota_max' in gdf_result\n",
    "gdf_result = gdf_result[['geometry', 'quota_max']]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-05T10:23:09.762921200Z",
     "start_time": "2023-10-05T10:23:09.590829500Z"
    }
   },
   "id": "a07cbf6150cef15a"
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "outputs": [],
   "source": [
    "# Specifica il percorso del file shapefile di destinazione (senza estensione .shp)\n",
    "output_shapefile_path = \"D-flight data/D_flight_clean.shp\"\n",
    "\n",
    "# Esporta il GeoDataFrame come shapefile\n",
    "gdf_result.to_file(output_shapefile_path)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-05T10:23:10.412689200Z",
     "start_time": "2023-10-05T10:23:10.333816900Z"
    }
   },
   "id": "9a17bcf9114863a4"
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "outputs": [
    {
     "data": {
      "text/plain": "<Axes: >"
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf_result.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-05T10:23:11.203855900Z",
     "start_time": "2023-10-05T10:23:11.071654Z"
    }
   },
   "id": "4c98b0772897563f"
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "outputs": [
    {
     "data": {
      "text/plain": "                                            geometry  quota_max\n0  MULTIPOLYGON (((321463.566 4852207.998, 305572...         60\n1  MULTIPOLYGON (((297956.324 4879449.659, 314136...         45\n2  MULTIPOLYGON (((290664.403 4878025.447, 292405...         25\n0  MULTIPOLYGON (((73157.716 4897647.770, 68349.4...          0",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>geometry</th>\n      <th>quota_max</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>MULTIPOLYGON (((321463.566 4852207.998, 305572...</td>\n      <td>60</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>MULTIPOLYGON (((297956.324 4879449.659, 314136...</td>\n      <td>45</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>MULTIPOLYGON (((290664.403 4878025.447, 292405...</td>\n      <td>25</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>MULTIPOLYGON (((73157.716 4897647.770, 68349.4...</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_result"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-05T10:23:11.713788800Z",
     "start_time": "2023-10-05T10:23:11.650751900Z"
    }
   },
   "id": "dc98ad9515866754"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "b1d08bedbc748a04"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}