nominatim/api/v1/format_json.py

   1 # SPDX-License-Identifier: GPL-3.0-or-later
   2 #
   3 # This file is part of Nominatim. (https://nominatim.org)
   4 #
   5 # Copyright (C) 2023 by the Nominatim developer community.
   6 # For a full list of authors see the git log.
   7 """
   8 Helper functions for output of results in json formats.
   9 """
  10 from typing import Mapping, Any, Optional, Tuple, Union
  11
  12 import nominatim.api as napi
  13 import nominatim.api.v1.classtypes as cl
  14 from nominatim.utils.json_writer import JsonWriter
  15
  16 #pylint: disable=too-many-branches
  17
  18 def _write_osm_id(out: JsonWriter, osm_object: Optional[Tuple[str, int]]) -> None:
  19     if osm_object is not None:
  20         out.keyval_not_none('osm_type', cl.OSM_TYPE_NAME.get(osm_object[0], None))\
  21            .keyval('osm_id', osm_object[1])
  22
  23
  24 def _write_typed_address(out: JsonWriter, address: Optional[napi.AddressLines],
  25                                country_code: Optional[str]) -> None:
  26     parts = {}
  27     for line in (address or []):
  28         if line.isaddress:
  29             if line.local_name:
  30                 label = cl.get_label_tag(line.category, line.extratags,
  31                                          line.rank_address, country_code)
  32                 if label not in parts:
  33                     parts[label] = line.local_name
  34             if line.names and 'ISO3166-2' in line.names and line.admin_level:
  35                 parts[f"ISO3166-2-lvl{line.admin_level}"] = line.names['ISO3166-2']
  36
  37     for k, v in parts.items():
  38         out.keyval(k, v)
  39
  40     if country_code:
  41         out.keyval('country_code', country_code)
  42
  43
  44 def _write_geocodejson_address(out: JsonWriter,
  45                                address: Optional[napi.AddressLines],
  46                                obj_place_id: Optional[int],
  47                                country_code: Optional[str]) -> None:
  48     extra = {}
  49     for line in (address or []):
  50         if line.isaddress and line.local_name:
  51             if line.category[1] in ('postcode', 'postal_code'):
  52                 out.keyval('postcode', line.local_name)
  53             elif line.category[1] == 'house_number':
  54                 out.keyval('housenumber', line.local_name)
  55             elif (obj_place_id is None or obj_place_id != line.place_id) \
  56                  and line.rank_address >= 4 and line.rank_address < 28:
  57                 rank_name = GEOCODEJSON_RANKS[line.rank_address]
  58                 if rank_name not in extra:
  59                     extra[rank_name] = line.local_name
  60
  61
  62     for k, v in extra.items():
  63         out.keyval(k, v)
  64
  65     if country_code:
  66         out.keyval('country_code', country_code)
  67
  68
  69 def format_base_json(results: Union[napi.ReverseResults, napi.SearchResults],
  70                      options: Mapping[str, Any], simple: bool,
  71                      class_label: str) -> str:
  72     """ Return the result list as a simple json string in custom Nominatim format.
  73     """
  74     out = JsonWriter()
  75
  76     if simple:
  77         if not results:
  78             return '{"error":"Unable to geocode"}'
  79     else:
  80         out.start_array()
  81
  82     for result in results:
  83         out.start_object()\
  84              .keyval_not_none('place_id', result.place_id)\
  85              .keyval('licence', cl.OSM_ATTRIBUTION)\
  86
  87         _write_osm_id(out, result.osm_object)
  88
  89         out.keyval('lat', f"{result.centroid.lat}")\
  90              .keyval('lon', f"{result.centroid.lon}")\
  91              .keyval(class_label, result.category[0])\
  92              .keyval('type', result.category[1])\
  93              .keyval('place_rank', result.rank_search)\
  94              .keyval('importance', result.calculated_importance())\
  95              .keyval('addresstype', cl.get_label_tag(result.category, result.extratags,
  96                                                      result.rank_address,
  97                                                      result.country_code))\
  98              .keyval('name', result.locale_name or '')\
  99              .keyval('display_name', result.display_name or '')
 100
 101
 102         if options.get('icon_base_url', None):
 103             icon = cl.ICONS.get(result.category)
 104             if icon:
 105                 out.keyval('icon', f"{options['icon_base_url']}/{icon}.p.20.png")
 106
 107         if options.get('addressdetails', False):
 108             out.key('address').start_object()
 109             _write_typed_address(out, result.address_rows, result.country_code)
 110             out.end_object().next()
 111
 112         if options.get('extratags', False):
 113             out.keyval('extratags', result.extratags)
 114
 115         if options.get('namedetails', False):
 116             out.keyval('namedetails', result.names)
 117
 118         bbox = cl.bbox_from_result(result)
 119         out.key('boundingbox').start_array()\
 120              .value(f"{bbox.minlat:0.7f}").next()\
 121              .value(f"{bbox.maxlat:0.7f}").next()\
 122              .value(f"{bbox.minlon:0.7f}").next()\
 123              .value(f"{bbox.maxlon:0.7f}").next()\
 124            .end_array().next()
 125
 126         if result.geometry:
 127             for key in ('text', 'kml'):
 128                 out.keyval_not_none('geo' + key, result.geometry.get(key))
 129             if 'geojson' in result.geometry:
 130                 out.key('geojson').raw(result.geometry['geojson']).next()
 131             out.keyval_not_none('svg', result.geometry.get('svg'))
 132
 133         out.end_object()
 134
 135         if simple:
 136             return out()
 137
 138         out.next()
 139
 140     out.end_array()
 141
 142     return out()
 143
 144
 145 def format_base_geojson(results: Union[napi.ReverseResults, napi.SearchResults],
 146                         options: Mapping[str, Any],
 147                         simple: bool) -> str:
 148     """ Return the result list as a geojson string.
 149     """
 150     if not results and simple:
 151         return '{"error":"Unable to geocode"}'
 152
 153     out = JsonWriter()
 154
 155     out.start_object()\
 156          .keyval('type', 'FeatureCollection')\
 157          .keyval('licence', cl.OSM_ATTRIBUTION)\
 158          .key('features').start_array()
 159
 160     for result in results:
 161         out.start_object()\
 162              .keyval('type', 'Feature')\
 163              .key('properties').start_object()
 164
 165         out.keyval_not_none('place_id', result.place_id)
 166
 167         _write_osm_id(out, result.osm_object)
 168
 169         out.keyval('place_rank', result.rank_search)\
 170            .keyval('category', result.category[0])\
 171            .keyval('type', result.category[1])\
 172            .keyval('importance', result.calculated_importance())\
 173            .keyval('addresstype', cl.get_label_tag(result.category, result.extratags,
 174                                                    result.rank_address,
 175                                                    result.country_code))\
 176            .keyval('name', result.locale_name or '')\
 177            .keyval('display_name', result.display_name or '')
 178
 179         if options.get('addressdetails', False):
 180             out.key('address').start_object()
 181             _write_typed_address(out, result.address_rows, result.country_code)
 182             out.end_object().next()
 183
 184         if options.get('extratags', False):
 185             out.keyval('extratags', result.extratags)
 186
 187         if options.get('namedetails', False):
 188             out.keyval('namedetails', result.names)
 189
 190         out.end_object().next() # properties
 191
 192         out.key('bbox').start_array()
 193         for coord in cl.bbox_from_result(result).coords:
 194             out.float(coord, 7).next()
 195         out.end_array().next()
 196
 197         out.key('geometry').raw(result.geometry.get('geojson')
 198                                 or result.centroid.to_geojson()).next()
 199
 200         out.end_object().next()
 201
 202     out.end_array().next().end_object()
 203
 204     return out()
 205
 206
 207 def format_base_geocodejson(results: Union[napi.ReverseResults, napi.SearchResults],
 208                             options: Mapping[str, Any], simple: bool) -> str:
 209     """ Return the result list as a geocodejson string.
 210     """
 211     if not results and simple:
 212         return '{"error":"Unable to geocode"}'
 213
 214     out = JsonWriter()
 215
 216     out.start_object()\
 217          .keyval('type', 'FeatureCollection')\
 218          .key('geocoding').start_object()\
 219            .keyval('version', '0.1.0')\
 220            .keyval('attribution', cl.OSM_ATTRIBUTION)\
 221            .keyval('licence', 'ODbL')\
 222            .keyval_not_none('query', options.get('query'))\
 223            .end_object().next()\
 224          .key('features').start_array()
 225
 226     for result in results:
 227         out.start_object()\
 228              .keyval('type', 'Feature')\
 229              .key('properties').start_object()\
 230                .key('geocoding').start_object()
 231
 232         out.keyval_not_none('place_id', result.place_id)
 233
 234         _write_osm_id(out, result.osm_object)
 235
 236         out.keyval('osm_key', result.category[0])\
 237            .keyval('osm_value', result.category[1])\
 238            .keyval('type', GEOCODEJSON_RANKS[max(3, min(28, result.rank_address))])\
 239            .keyval_not_none('accuracy', getattr(result, 'distance', None), transform=int)\
 240            .keyval('label', result.display_name or '')\
 241            .keyval_not_none('name', result.locale_name or None)\
 242
 243         if options.get('addressdetails', False):
 244             _write_geocodejson_address(out, result.address_rows, result.place_id,
 245                                        result.country_code)
 246
 247             out.key('admin').start_object()
 248             if result.address_rows:
 249                 for line in result.address_rows:
 250                     if line.isaddress and (line.admin_level or 15) < 15 and line.local_name \
 251                        and line.category[0] == 'boundary' and line.category[1] == 'administrative':
 252                         out.keyval(f"level{line.admin_level}", line.local_name)
 253             out.end_object().next()
 254
 255         out.end_object().next().end_object().next()
 256
 257         out.key('geometry').raw(result.geometry.get('geojson')
 258                                 or result.centroid.to_geojson()).next()
 259
 260         out.end_object().next()
 261
 262     out.end_array().next().end_object()
 263
 264     return out()
 265
 266
 267 GEOCODEJSON_RANKS = {
 268     3: 'locality',
 269     4: 'country',
 270     5: 'state', 6: 'state', 7: 'state', 8: 'state', 9: 'state',
 271     10: 'county', 11: 'county', 12: 'county',
 272     13: 'city', 14: 'city', 15: 'city', 16: 'city',
 273     17: 'district', 18: 'district', 19: 'district', 20: 'district', 21: 'district',
 274     22: 'locality', 23: 'locality', 24: 'locality',
 275     25: 'street', 26: 'street', 27: 'street', 28: 'house'}