]> git.openstreetmap.org Git - nominatim.git/blobdiff - nominatim/tools/postcodes.py
Merge pull request #3363 from mtmail/docs-link-correction
[nominatim.git] / nominatim / tools / postcodes.py
index 78bd8cb9490c5646754cef2ef2bbf2348d5e2a74..7171e25d169d0af7b625430fafefdfba183c4df4 100644 (file)
+# 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 nominatim.db.utils import execute_file
-from nominatim.db.connection import connect
+from psycopg2 import sql as pysql
 
-def import_postcodes(dsn, project_dir, tokenizer):
-    """ Set up the initial list of postcodes.
+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(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(numstr)
+    if not isfinite(num) or num <= -max_value or num >= max_value:
+        raise ValueError()
+
+    return num
+
+class _PostcodeCollector:
+    """ Collector for postcodes of a single country.
+    """
+
+    def __init__(self, country: str, matcher: Optional[CountryPostcodeMatcher]):
+        self.country = country
+        self.matcher = matcher
+        self.collected: Dict[str, PointsCentroid] = defaultdict(PointsCentroid)
+        self.normalization_cache: Optional[Tuple[str, Optional[str]]] = None
+
+
+    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.
+        """
+        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)
 
-    with connect(dsn) as conn:
-        conn.drop_table('gb_postcode')
-        conn.drop_table('us_postcode')
+
+    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.
+        """
+        self._update_from_external(analyzer, project_dir)
+        to_add, to_delete, to_update = self._compute_changes(conn)
+
+        LOG.info("Processing country '%s' (%s added, %s deleted, %s updated).",
+                 self.country, len(to_add), len(to_delete), len(to_update))
 
         with conn.cursor() as cur:
-            cur.execute("""CREATE TABLE gb_postcode (
-                            id integer,
-                            postcode character varying(9),
-                            geometry GEOMETRY(Point, 4326))""")
+            if to_add:
+                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:
+                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: 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.
+        """
+        to_update = []
+        to_delete = []
         with conn.cursor() as cur:
-            cur.execute("""CREATE TABLE us_postcode (
-                            postcode text,
-                            x double precision,
-                            y double precision)""")
-        conn.commit()
+            cur.execute("""SELECT postcode, ST_X(geometry), ST_Y(geometry)
+                           FROM location_postcode
+                           WHERE country_code = %s""",
+                        (self.country, ))
+            for postcode, x, y in cur:
+                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)
 
-        gb_postcodes = project_dir / 'gb_postcode_data.sql.gz'
-        if gb_postcodes.is_file():
-            execute_file(dsn, gb_postcodes)
+        to_add = [(k, *v.centroid()) for k, v in self.collected.items()]
+        self.collected = defaultdict(PointsCentroid)
 
-        us_postcodes = project_dir / 'us_postcode_data.sql.gz'
-        if us_postcodes.is_file():
-            execute_file(dsn, us_postcodes)
+        return to_add, to_delete, to_update
 
-        with conn.cursor() as cur:
-            cur.execute("TRUNCATE location_postcode")
-            cur.execute("""
-                INSERT INTO location_postcode
-                 (place_id, indexed_status, country_code, postcode, geometry)
-                SELECT nextval('seq_place'), 1, country_code,
-                       token_normalized_postcode(address->'postcode') as pc,
-                       ST_Centroid(ST_Collect(ST_Centroid(geometry)))
-                  FROM placex
-                 WHERE address ? 'postcode'
-                       and token_normalized_postcode(address->'postcode') is not null
-                       AND geometry IS NOT null
-                 GROUP BY country_code, pc
-            """)
-
-            cur.execute("""
-                INSERT INTO location_postcode
-                 (place_id, indexed_status, country_code, postcode, geometry)
-                SELECT nextval('seq_place'), 1, 'us',
-                       token_normalized_postcode(postcode),
-                       ST_SetSRID(ST_Point(x,y),4326)
-                  FROM us_postcode WHERE token_normalized_postcode(postcode) NOT IN
-                        (SELECT postcode FROM location_postcode
-                          WHERE country_code = 'us')
-            """)
-
-            cur.execute("""
-                INSERT INTO location_postcode
-                 (place_id, indexed_status, country_code, postcode, geometry)
-                SELECT nextval('seq_place'), 1, 'gb',
-                       token_normalized_postcode(postcode), geometry
-                  FROM gb_postcode WHERE token_normalized_postcode(postcode) NOT IN
-                           (SELECT postcode FROM location_postcode
-                             WHERE country_code = 'gb')
-            """)
-
-            cur.execute("""
-                    DELETE FROM word WHERE class='place' and type='postcode'
-                    and word NOT IN (SELECT postcode FROM location_postcode)
-            """)
-        conn.commit()
-
-        with tokenizer.name_analyzer() as analyzer:
-            analyzer.add_postcodes_from_db()
+
+    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.
+        """
+        csvfile = self._open_external(project_dir)
+        if csvfile is None:
+            return
+
+        try:
+            reader = csv.DictReader(csvfile)
+            for row in reader:
+                if 'postcode' not in row or 'lat' not in row or 'lon' not in row:
+                    LOG.warning("Bad format for external postcode file for country '%s'."
+                                " Ignored.", self.country)
+                    return
+                postcode = analyzer.normalize_postcode(row['postcode'])
+                if postcode not in self.collected:
+                    try:
+                        # 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)
+
+        finally:
+            csvfile.close()
+
+
+    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', encoding='utf-8')
+
+        fname = project_dir / f'{self.country}_postcodes.csv.gz'
+
+        if fname.is_file():
+            LOG.info("Using external postcode file '%s'.", fname)
+            return gzip.open(fname, 'rt')
+
+        return None
+
+
+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.
+            # (Doing this before starting to insert, so it is fast on import.)
+            with conn.cursor() as cur:
+                cur.execute("SELECT DISTINCT country_code FROM location_postcode")
+                todo_countries = set((row[0] for row in cur))
+
+            # Recompute the list of valid postcodes from placex.
+            with conn.cursor(name="placex_postcodes") as cur:
+                cur.execute("""
+                SELECT cc, pc, ST_X(centroid), ST_Y(centroid)
+                FROM (SELECT
+                        COALESCE(plx.country_code,
+                                 get_country_code(ST_Centroid(pl.geometry))) as cc,
+                        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) xx
+                WHERE pc IS NOT null AND cc IS NOT null
+                ORDER BY cc, pc""")
+
+                collector = None
+
+                for country, postcode, x, y in cur:
+                    if collector is None or country != collector.country:
+                        if collector is not None:
+                            collector.commit(conn, analyzer, project_dir)
+                        collector = _PostcodeCollector(country, matcher.get_matcher(country))
+                        todo_countries.discard(country)
+                    collector.add(postcode, x, y)
+
+                if collector is not None:
+                    collector.commit(conn, analyzer, project_dir)
+
+            # Now handle any countries that are only in the postcode table.
+            for country in todo_countries:
+                fmt = matcher.get_matcher(country)
+                _PostcodeCollector(country, fmt).commit(conn, analyzer, project_dir)
+
+            conn.commit()
+
+        analyzer.update_postcodes_from_db()
+
+def can_compute(dsn: str) -> bool:
+    """
+        Check that the place table exists so that
+        postcodes can be computed.
+    """
+    with connect(dsn) as conn:
+        return conn.table_exists('place')