nominatim/api/search/geocoder.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 Public interface to the search code.
   9 """
  10 from typing import List, Any, Optional, Iterator, Tuple
  11 import itertools
  12
  13 from nominatim.api.connection import SearchConnection
  14 from nominatim.api.types import SearchDetails
  15 from nominatim.api.results import SearchResults, add_result_details
  16 from nominatim.api.search.token_assignment import yield_token_assignments
  17 from nominatim.api.search.db_search_builder import SearchBuilder, build_poi_search, wrap_near_search
  18 from nominatim.api.search.db_searches import AbstractSearch
  19 from nominatim.api.search.query_analyzer_factory import make_query_analyzer, AbstractQueryAnalyzer
  20 from nominatim.api.search.query import Phrase, QueryStruct
  21 from nominatim.api.logging import log
  22
  23 class ForwardGeocoder:
  24     """ Main class responsible for place search.
  25     """
  26
  27     def __init__(self, conn: SearchConnection, params: SearchDetails) -> None:
  28         self.conn = conn
  29         self.params = params
  30         self.query_analyzer: Optional[AbstractQueryAnalyzer] = None
  31
  32
  33     @property
  34     def limit(self) -> int:
  35         """ Return the configured maximum number of search results.
  36         """
  37         return self.params.max_results
  38
  39
  40     async def build_searches(self,
  41                              phrases: List[Phrase]) -> Tuple[QueryStruct, List[AbstractSearch]]:
  42         """ Analyse the query and return the tokenized query and list of
  43             possible searches over it.
  44         """
  45         if self.query_analyzer is None:
  46             self.query_analyzer = await make_query_analyzer(self.conn)
  47
  48         query = await self.query_analyzer.analyze_query(phrases)
  49
  50         searches: List[AbstractSearch] = []
  51         if query.num_token_slots() > 0:
  52             # 2. Compute all possible search interpretations
  53             log().section('Compute abstract searches')
  54             search_builder = SearchBuilder(query, self.params)
  55             num_searches = 0
  56             for assignment in yield_token_assignments(query):
  57                 searches.extend(search_builder.build(assignment))
  58                 log().table_dump('Searches for assignment',
  59                                  _dump_searches(searches, query, num_searches))
  60                 num_searches = len(searches)
  61             searches.sort(key=lambda s: s.penalty)
  62
  63         return query, searches
  64
  65
  66     async def execute_searches(self, query: QueryStruct,
  67                                searches: List[AbstractSearch]) -> SearchResults:
  68         """ Run the abstract searches against the database until a result
  69             is found.
  70         """
  71         log().section('Execute database searches')
  72         results = SearchResults()
  73
  74         num_results = 0
  75         min_ranking = 1000.0
  76         prev_penalty = 0.0
  77         for i, search in enumerate(searches):
  78             if search.penalty > prev_penalty and (search.penalty > min_ranking or i > 20):
  79                 break
  80             log().table_dump(f"{i + 1}. Search", _dump_searches([search], query))
  81             for result in await search.lookup(self.conn, self.params):
  82                 results.append(result)
  83                 min_ranking = min(min_ranking, result.ranking + 0.5, search.penalty + 0.3)
  84             log().result_dump('Results', ((r.accuracy, r) for r in results[num_results:]))
  85             num_results = len(results)
  86             prev_penalty = search.penalty
  87
  88         if results:
  89             min_ranking = min(r.ranking for r in results)
  90             results = SearchResults(r for r in results if r.ranking < min_ranking + 0.5)
  91
  92         if results:
  93             min_rank = min(r.rank_search for r in results)
  94
  95             results = SearchResults(r for r in results
  96                                     if r.ranking + 0.05 * (r.rank_search - min_rank)
  97                                        < min_ranking + 0.5)
  98
  99             results.sort(key=lambda r: r.accuracy - r.calculated_importance())
 100             results = SearchResults(results[:self.limit])
 101
 102         return results
 103
 104
 105     async def lookup_pois(self, categories: List[Tuple[str, str]],
 106                           phrases: List[Phrase]) -> SearchResults:
 107         """ Look up places by category. If phrase is given, a place search
 108             over the phrase will be executed first and places close to the
 109             results returned.
 110         """
 111         log().function('forward_lookup_pois', categories=categories, params=self.params)
 112
 113         if phrases:
 114             query, searches = await self.build_searches(phrases)
 115
 116             if query:
 117                 searches = [wrap_near_search(categories, s) for s in searches[:50]]
 118                 results = await self.execute_searches(query, searches)
 119             else:
 120                 results = SearchResults()
 121         else:
 122             search = build_poi_search(categories, self.params.countries)
 123             results = await search.lookup(self.conn, self.params)
 124
 125         await add_result_details(self.conn, results, self.params)
 126         log().result_dump('Final Results', ((r.accuracy, r) for r in results))
 127
 128         return results
 129
 130
 131     async def lookup(self, phrases: List[Phrase]) -> SearchResults:
 132         """ Look up a single free-text query.
 133         """
 134         log().function('forward_lookup', phrases=phrases, params=self.params)
 135         results = SearchResults()
 136
 137         if self.params.is_impossible():
 138             return results
 139
 140         query, searches = await self.build_searches(phrases)
 141
 142         if searches:
 143             # Execute SQL until an appropriate result is found.
 144             results = await self.execute_searches(query, searches[:50])
 145             await add_result_details(self.conn, results, self.params)
 146             log().result_dump('Final Results', ((r.accuracy, r) for r in results))
 147
 148         return results
 149
 150
 151 # pylint: disable=invalid-name,too-many-locals
 152 def _dump_searches(searches: List[AbstractSearch], query: QueryStruct,
 153                    start: int = 0) -> Iterator[Optional[List[Any]]]:
 154     yield ['Penalty', 'Lookups', 'Housenr', 'Postcode', 'Countries', 'Qualifier', 'Rankings']
 155
 156     def tk(tl: List[int]) -> str:
 157         tstr = [f"{query.find_lookup_word_by_id(t)}({t})" for t in tl]
 158
 159         return f"[{','.join(tstr)}]"
 160
 161     def fmt_ranking(f: Any) -> str:
 162         if not f:
 163             return ''
 164         ranks = ','.join((f"{tk(r.tokens)}^{r.penalty:.3g}" for r in f.rankings))
 165         if len(ranks) > 100:
 166             ranks = ranks[:100] + '...'
 167         return f"{f.column}({ranks},def={f.default:.3g})"
 168
 169     def fmt_lookup(l: Any) -> str:
 170         if not l:
 171             return ''
 172
 173         return f"{l.lookup_type}({l.column}{tk(l.tokens)})"
 174
 175
 176     def fmt_cstr(c: Any) -> str:
 177         if not c:
 178             return ''
 179
 180         return f'{c[0]}^{c[1]}'
 181
 182     for search in searches[start:]:
 183         fields = ('name_lookups', 'name_ranking', 'countries', 'housenumbers',
 184                   'postcodes', 'qualifier')
 185         iters = itertools.zip_longest([f"{search.penalty:.3g}"],
 186                                       *(getattr(search, attr, []) for attr in fields),
 187                                       fillvalue= '')
 188         for penalty, lookup, rank, cc, hnr, pc, qual in iters:
 189             yield [penalty, fmt_lookup(lookup), fmt_cstr(hnr),
 190                    fmt_cstr(pc), fmt_cstr(cc), fmt_cstr(qual), fmt_ranking(rank)]
 191         yield None