import csv
import gzip
import logging
+from math import isfinite
from psycopg2.extras import execute_values
LOG = logging.getLogger()
+def _to_float(num, max_value):
+ """ 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)
+ if not isfinite(num) or num <= -max_value or num >= max_value:
+ raise ValueError()
+
+ return num
+
class _CountryPostcodesCollector:
""" Collector for postcodes of a single country.
"""
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:
if to_add:
execute_values(cur,
postcode = analyzer.normalize_postcode(row['postcode'])
if postcode not in self.collected:
try:
- self.collected[postcode] = (float(row['lon']), float(row['lat']))
+ self.collected[postcode] = (_to_float(row['lon'], 180),
+ _to_float(row['lat'], 90))
except ValueError:
LOG.warning("Bad coordinates %s, %s in %s country postcode file.",
row['lat'], row['lon'], self.country)
"""
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 country_code, pc, ST_X(centroid), ST_Y(centroid)
- FROM (
- SELECT country_code,
- token_normalized_postcode(address->'postcode') as pc,
- ST_Centroid(ST_Collect(ST_Centroid(geometry))) as centroid
- FROM placex
- WHERE address ? 'postcode' and geometry IS NOT null
- GROUP BY country_code, pc) xx
- WHERE pc is not null
- ORDER BY country_code, pc""")
+ cur.execute("""
+ SELECT cc as country_code, 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
+ 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 pc IS NOT null AND cc IS NOT null
+ ORDER BY country_code, pc""")
collector = None
if collector is not None:
collector.commit(conn, analyzer, project_dir)
collector = _CountryPostcodesCollector(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:
+ _CountryPostcodesCollector(country).commit(conn, analyzer, project_dir)
+
conn.commit()
- analyzer.add_postcodes_from_db()
+ analyzer.update_postcodes_from_db()
+
+def can_compute(dsn):
+ """
+ Check that the place table exists so that
+ postcodes can be computed.
+ """
+ with connect(dsn) as conn:
+ return conn.table_exists('place')