- # This finds us the rows in location_postcode and word that are
- # missing in the other table.
- cur.execute("""SELECT * FROM
- (SELECT pc, word FROM
- (SELECT distinct(postcode) as pc FROM location_postcode) p
- FULL JOIN
- (SELECT word FROM word WHERE type = 'P') w
- ON pc = word) x
- WHERE pc is null or word is null""")
-
- with CopyBuffer() as copystr:
- for postcode, word in cur:
- if postcode is None:
- to_delete.append(word)
- else:
- copystr.add(self._search_normalized(postcode),
- 'P', postcode)
-
- if to_delete:
- cur.execute("""DELETE FROM WORD
- WHERE type ='P' and word = any(%s)
- """, (to_delete, ))
-
- copystr.copy_out(cur, 'word',
- columns=['word_token', 'type', 'word'])
+ # First get all postcode names currently in the word table.
+ cur.execute("SELECT DISTINCT word FROM word WHERE type = 'P'")
+ word_entries = set((entry[0] for entry in cur))
+
+ # Then compute the required postcode names from the postcode table.
+ needed_entries = set()
+ cur.execute("SELECT country_code, postcode FROM location_postcode")
+ for cc, postcode in cur:
+ info = PlaceInfo({'country_code': cc,
+ 'class': 'place', 'type': 'postcode',
+ 'address': {'postcode': postcode}})
+ address = self.sanitizer.process_names(info)[1]
+ for place in address:
+ if place.kind == 'postcode':
+ if analyzer is None:
+ postcode_name = place.name.strip().upper()
+ variant_base = None
+ else:
+ postcode_name = analyzer.normalize(place.name)
+ variant_base = place.get_attr("variant")
+
+ if variant_base:
+ needed_entries.add(f'{postcode_name}@{variant_base}')
+ else:
+ needed_entries.add(postcode_name)
+ break
+
+ # Now update the word table.
+ self._delete_unused_postcode_words(word_entries - needed_entries)
+ self._add_missing_postcode_words(needed_entries - word_entries)
+
+ def _delete_unused_postcode_words(self, tokens):
+ if tokens:
+ with self.conn.cursor() as cur:
+ cur.execute("DELETE FROM word WHERE type = 'P' and word = any(%s)",
+ (list(tokens), ))
+
+ def _add_missing_postcode_words(self, tokens):
+ if not tokens:
+ return
+
+ analyzer = self.token_analysis.analysis.get('@postcode')
+ terms = []
+
+ for postcode_name in tokens:
+ if '@' in postcode_name:
+ term, variant = postcode_name.split('@', 2)
+ term = self._search_normalized(term)
+ variants = {term}
+ if analyzer is not None:
+ variants.update(analyzer.get_variants_ascii(variant))
+ variants = list(variants)
+ else:
+ variants = [self._search_normalized(postcode_name)]
+ terms.append((postcode_name, variants))
+
+ if terms:
+ with self.conn.cursor() as cur:
+ cur.execute_values("""SELECT create_postcode_word(pc, var)
+ FROM (VALUES %s) AS v(pc, var)""",
+ terms)
+
+