+ -- Did we gain a wikipedia tag in the process? then we need to recalculate our importance
+ IF NEW.importance is null THEN
+ select language||':'||title,importance from get_wikipedia_match(NEW.extratags, NEW.calculated_country_code) INTO NEW.wikipedia,NEW.importance;
+ END IF;
+ -- Still null? how about looking it up by the node id
+ IF NEW.importance IS NULL THEN
+ select language||':'||title,importance from wikipedia_article where osm_type = 'N'::char(1) and osm_id = linked_node_id order by importance desc limit 1 INTO NEW.wikipedia,NEW.importance;
+ END IF;
+
+ END IF;
+
+ -- make sure all names are in the word table
+ IF NEW.admin_level = 2 AND NEW.class = 'boundary' AND NEW.type = 'administrative' AND NEW.country_code IS NOT NULL THEN
+ perform create_country(NEW.name, lower(NEW.country_code));
+ END IF;
+
+ NEW.parent_place_id = 0;
+ parent_place_id_rank = 0;
+
+
+ -- convert isin to array of tokenids
+ isin_tokens := '{}'::int[];
+ IF NEW.isin IS NOT NULL THEN
+ isin := regexp_split_to_array(NEW.isin, E'[;,]');
+ IF array_upper(isin, 1) IS NOT NULL THEN
+ FOR i IN 1..array_upper(isin, 1) LOOP
+ address_street_word_id := get_name_id(make_standard_name(isin[i]));
+ IF address_street_word_id IS NOT NULL AND NOT(ARRAY[address_street_word_id] <@ isin_tokens) THEN
+ nameaddress_vector := array_merge(nameaddress_vector, ARRAY[address_street_word_id]);
+ isin_tokens := isin_tokens || address_street_word_id;
+ END IF;
+
+ -- merge word into address vector
+ address_street_word_id := get_word_id(make_standard_name(isin[i]));
+ IF address_street_word_id IS NOT NULL THEN
+ nameaddress_vector := array_merge(nameaddress_vector, ARRAY[address_street_word_id]);
+ END IF;
+ END LOOP;
+ END IF;
+ END IF;
+ IF NEW.postcode IS NOT NULL THEN
+ isin := regexp_split_to_array(NEW.postcode, E'[;,]');
+ IF array_upper(isin, 1) IS NOT NULL THEN
+ FOR i IN 1..array_upper(isin, 1) LOOP
+ address_street_word_id := get_name_id(make_standard_name(isin[i]));
+ IF address_street_word_id IS NOT NULL AND NOT(ARRAY[address_street_word_id] <@ isin_tokens) THEN
+ nameaddress_vector := array_merge(nameaddress_vector, ARRAY[address_street_word_id]);
+ isin_tokens := isin_tokens || address_street_word_id;
+ END IF;
+
+ -- merge into address vector
+ address_street_word_id := get_word_id(make_standard_name(isin[i]));
+ IF address_street_word_id IS NOT NULL THEN
+ nameaddress_vector := array_merge(nameaddress_vector, ARRAY[address_street_word_id]);
+ END IF;
+ END LOOP;
+ END IF;
+ END IF;
+
+ -- %NOTIGERDATA% IF 0 THEN
+ -- for the USA we have an additional address table. Merge in zip codes from there too
+ IF NEW.rank_search = 26 AND NEW.calculated_country_code = 'us' THEN
+ FOR location IN SELECT distinct postcode from location_property_tiger where parent_place_id = NEW.place_id LOOP
+ address_street_word_id := get_name_id(make_standard_name(location.postcode));
+ nameaddress_vector := array_merge(nameaddress_vector, ARRAY[address_street_word_id]);
+ isin_tokens := isin_tokens || address_street_word_id;
+
+ -- also merge in the single word version
+ address_street_word_id := get_word_id(make_standard_name(location.postcode));
+ nameaddress_vector := array_merge(nameaddress_vector, ARRAY[address_street_word_id]);
+ END LOOP;
+ END IF;
+ -- %NOTIGERDATA% END IF;
+
+-- RAISE WARNING 'ISIN: %', isin_tokens;
+
+ -- Process area matches
+ location_rank_search := 0;
+ location_distance := 0;
+ location_parent := NULL;
+ -- added ourself as address already
+ address_havelevel[NEW.rank_address] := true;
+ -- RAISE WARNING ' getNearFeatures(%,''%'',%,''%'')',NEW.partition, place_centroid, search_maxrank, isin_tokens;
+ FOR location IN SELECT * from getNearFeatures(NEW.partition, place_centroid, search_maxrank, isin_tokens) LOOP