]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/tools/postcodes.py
add missing space in taginfo listing
[nominatim.git] / nominatim / tools / postcodes.py
index 3f8f4e382081b686af461cb412ca7a96f424f218..7171e25d169d0af7b625430fafefdfba183c4df4 100644 (file)
@@ -1,46 +1,70 @@
+# SPDX-License-Identifier: GPL-2.0-only
+#
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2022 by the Nominatim developer community.
+# For a full list of authors see the git log.
 """
 Functions for importing, updating and otherwise maintaining the table
 of artificial postcode centroids.
 """
+from typing import Optional, Tuple, Dict, List, TextIO
+from collections import defaultdict
+from pathlib import Path
 import csv
 import gzip
 import logging
 from math import isfinite
 
-from psycopg2.extras import execute_values
+from psycopg2 import sql as pysql
 
-from nominatim.db.connection import connect
+from nominatim.db.connection import connect, Connection
+from nominatim.utils.centroid import PointsCentroid
+from nominatim.data.postcode_format import PostcodeFormatter, CountryPostcodeMatcher
+from nominatim.tokenizer.base import AbstractAnalyzer, AbstractTokenizer
 
 LOG = logging.getLogger()
 
-def _to_float(num, max_value):
+def _to_float(numstr: str, max_value: float) -> float:
     """ Convert the number in string into a float. The number is expected
         to be in the range of [-max_value, max_value]. Otherwise rises a
         ValueError.
     """
-    num = float(num)
+    num = float(numstr)
     if not isfinite(num) or num <= -max_value or num >= max_value:
         raise ValueError()
 
     return num
 
-class _CountryPostcodesCollector:
+class _PostcodeCollector:
     """ Collector for postcodes of a single country.
     """
 
-    def __init__(self, country):
+    def __init__(self, country: str, matcher: Optional[CountryPostcodeMatcher]):
         self.country = country
-        self.collected = dict()
+        self.matcher = matcher
+        self.collected: Dict[str, PointsCentroid] = defaultdict(PointsCentroid)
+        self.normalization_cache: Optional[Tuple[str, Optional[str]]] = None
 
 
-    def add(self, postcode, x, y):
+    def add(self, postcode: str, x: float, y: float) -> None:
         """ Add the given postcode to the collection cache. If the postcode
             already existed, it is overwritten with the new centroid.
         """
-        self.collected[postcode] = (x, y)
+        if self.matcher is not None:
+            normalized: Optional[str]
+            if self.normalization_cache and self.normalization_cache[0] == postcode:
+                normalized = self.normalization_cache[1]
+            else:
+                match = self.matcher.match(postcode)
+                normalized = self.matcher.normalize(match) if match else None
+                self.normalization_cache = (postcode, normalized)
 
+            if normalized:
+                self.collected[normalized] += (x, y)
 
-    def commit(self, conn, analyzer, project_dir):
+
+    def commit(self, conn: Connection, analyzer: AbstractAnalyzer, project_dir: Path) -> None:
         """ Update postcodes for the country from the postcodes selected so far
             as well as any externally supplied postcodes.
         """
@@ -52,30 +76,30 @@ class _CountryPostcodesCollector:
 
         with conn.cursor() as cur:
             if to_add:
-                execute_values(cur,
-                               """INSERT INTO location_postcode
-                                      (place_id, indexed_status, country_code,
-                                       postcode, geometry) VALUES %s""",
-                               to_add,
-                               template="""(nextval('seq_place'), 1, '{}',
-                                           %s, 'SRID=4326;POINT(%s %s)')
-                                        """.format(self.country))
+                cur.execute_values(
+                    """INSERT INTO location_postcode
+                         (place_id, indexed_status, country_code,
+                          postcode, geometry) VALUES %s""",
+                    to_add,
+                    template=pysql.SQL("""(nextval('seq_place'), 1, {},
+                                          %s, 'SRID=4326;POINT(%s %s)')
+                                       """).format(pysql.Literal(self.country)))
             if to_delete:
                 cur.execute("""DELETE FROM location_postcode
                                WHERE country_code = %s and postcode = any(%s)
                             """, (self.country, to_delete))
             if to_update:
-                execute_values(cur,
-                               """UPDATE location_postcode
-                                  SET indexed_status = 2,
-                                      geometry = ST_SetSRID(ST_Point(v.x, v.y), 4326)
-                                  FROM (VALUES %s) AS v (pc, x, y)
-                                  WHERE country_code = '{}' and postcode = pc
-                               """.format(self.country),
-                               to_update)
+                cur.execute_values(
+                    pysql.SQL("""UPDATE location_postcode
+                                 SET indexed_status = 2,
+                                     geometry = ST_SetSRID(ST_Point(v.x, v.y), 4326)
+                                 FROM (VALUES %s) AS v (pc, x, y)
+                                 WHERE country_code = {} and postcode = pc
+                              """).format(pysql.Literal(self.country)), to_update)
 
 
-    def _compute_changes(self, conn):
+    def _compute_changes(self, conn: Connection) \
+          -> Tuple[List[Tuple[str, float, float]], List[str], List[Tuple[str, float, float]]]:
         """ Compute which postcodes from the collected postcodes have to be
             added or modified and which from the location_postcode table
             have to be deleted.
@@ -88,21 +112,21 @@ class _CountryPostcodesCollector:
                            WHERE country_code = %s""",
                         (self.country, ))
             for postcode, x, y in cur:
-                newx, newy = self.collected.pop(postcode, (None, None))
-                if newx is not None:
-                    dist = (x - newx)**2 + (y - newy)**2
-                    if dist > 0.0000001:
+                pcobj = self.collected.pop(postcode, None)
+                if pcobj:
+                    newx, newy = pcobj.centroid()
+                    if (x - newx) > 0.0000001 or (y - newy) > 0.0000001:
                         to_update.append((postcode, newx, newy))
                 else:
                     to_delete.append(postcode)
 
-        to_add = [(k, v[0], v[1]) for k, v in self.collected.items()]
-        self.collected = []
+        to_add = [(k, *v.centroid()) for k, v in self.collected.items()]
+        self.collected = defaultdict(PointsCentroid)
 
         return to_add, to_delete, to_update
 
 
-    def _update_from_external(self, analyzer, project_dir):
+    def _update_from_external(self, analyzer: AbstractAnalyzer, project_dir: Path) -> None:
         """ Look for an external postcode file for the active country in
             the project directory and add missing postcodes when found.
         """
@@ -120,8 +144,10 @@ class _CountryPostcodesCollector:
                 postcode = analyzer.normalize_postcode(row['postcode'])
                 if postcode not in self.collected:
                     try:
-                        self.collected[postcode] = (_to_float(row['lon'], 180),
-                                                    _to_float(row['lat'], 90))
+                        # Do float conversation separately, it might throw
+                        centroid = (_to_float(row['lon'], 180),
+                                    _to_float(row['lat'], 90))
+                        self.collected[postcode] += centroid
                     except ValueError:
                         LOG.warning("Bad coordinates %s, %s in %s country postcode file.",
                                     row['lat'], row['lon'], self.country)
@@ -130,14 +156,14 @@ class _CountryPostcodesCollector:
             csvfile.close()
 
 
-    def _open_external(self, project_dir):
-        fname = project_dir / '{}_postcodes.csv'.format(self.country)
+    def _open_external(self, project_dir: Path) -> Optional[TextIO]:
+        fname = project_dir / f'{self.country}_postcodes.csv'
 
         if fname.is_file():
             LOG.info("Using external postcode file '%s'.", fname)
-            return open(fname, 'r')
+            return open(fname, 'r', encoding='utf-8')
 
-        fname = project_dir / '{}_postcodes.csv.gz'.format(self.country)
+        fname = project_dir / f'{self.country}_postcodes.csv.gz'
 
         if fname.is_file():
             LOG.info("Using external postcode file '%s'.", fname)
@@ -146,13 +172,14 @@ class _CountryPostcodesCollector:
         return None
 
 
-def update_postcodes(dsn, project_dir, tokenizer):
+def update_postcodes(dsn: str, project_dir: Path, tokenizer: AbstractTokenizer) -> None:
     """ Update the table of artificial postcodes.
 
         Computes artificial postcode centroids from the placex table,
         potentially enhances it with external data and then updates the
         postcodes in the table 'location_postcode'.
     """
+    matcher = PostcodeFormatter()
     with tokenizer.name_analyzer() as analyzer:
         with connect(dsn) as conn:
             # First get the list of countries that currently have postcodes.
@@ -164,19 +191,17 @@ def update_postcodes(dsn, project_dir, tokenizer):
             # Recompute the list of valid postcodes from placex.
             with conn.cursor(name="placex_postcodes") as cur:
                 cur.execute("""
-                SELECT cc as country_code, pc, ST_X(centroid), ST_Y(centroid)
+                SELECT cc, pc, ST_X(centroid), ST_Y(centroid)
                 FROM (SELECT
                         COALESCE(plx.country_code,
                                  get_country_code(ST_Centroid(pl.geometry))) as cc,
-                        token_normalized_postcode(pl.address->'postcode') as pc,
-                        ST_Centroid(ST_Collect(COALESCE(plx.centroid,
-                                                        ST_Centroid(pl.geometry)))) as centroid
+                        pl.address->'postcode' as pc,
+                        COALESCE(plx.centroid, ST_Centroid(pl.geometry)) as centroid
                       FROM place AS pl LEFT OUTER JOIN placex AS plx
                              ON pl.osm_id = plx.osm_id AND pl.osm_type = plx.osm_type
-                    WHERE pl.address ? 'postcode' AND pl.geometry IS NOT null
-                    GROUP BY cc, pc) xx
+                    WHERE pl.address ? 'postcode' AND pl.geometry IS NOT null) xx
                 WHERE pc IS NOT null AND cc IS NOT null
-                ORDER BY country_code, pc""")
+                ORDER BY cc, pc""")
 
                 collector = None
 
@@ -184,7 +209,7 @@ def update_postcodes(dsn, project_dir, tokenizer):
                     if collector is None or country != collector.country:
                         if collector is not None:
                             collector.commit(conn, analyzer, project_dir)
-                        collector = _CountryPostcodesCollector(country)
+                        collector = _PostcodeCollector(country, matcher.get_matcher(country))
                         todo_countries.discard(country)
                     collector.add(postcode, x, y)
 
@@ -193,13 +218,14 @@ def update_postcodes(dsn, project_dir, tokenizer):
 
             # Now handle any countries that are only in the postcode table.
             for country in todo_countries:
-                _CountryPostcodesCollector(country).commit(conn, analyzer, project_dir)
+                fmt = matcher.get_matcher(country)
+                _PostcodeCollector(country, fmt).commit(conn, analyzer, project_dir)
 
             conn.commit()
 
         analyzer.update_postcodes_from_db()
 
-def can_compute(dsn):
+def can_compute(dsn: str) -> bool:
     """
         Check that the place table exists so that
         postcodes can be computed.