CREATE OR REPLACE VIEW optimized_artists AS SELECT ar.name_string AS name, ar.slug AS url, ar.tentative, to_char(ar.total_plays, 'FM999,999,999,999') AS total_plays, ar.total_plays AS total_plays_raw, ar.country, ar.description, ar.favorite, g.name AS genre_name, g.slug AS genre_slug, g.emoji AS genre_emoji, json_build_object('name', g.name, 'url', g.slug, 'emoji', g.emoji) AS genre, ar.emoji, ar.tattoo, CONCAT(globals.cdn_url, '/', df.filename_disk) AS image, json_build_object( 'title', ar.name_string, 'image', CONCAT(globals.cdn_url, '/', df.filename_disk), 'url', ar.slug, 'alt', CASE WHEN ar.total_plays > 0 THEN CONCAT(to_char(ar.total_plays, 'FM999,999,999,999'), ' plays of ', ar.name_string) ELSE CONCAT('Artwork of ', ar.name_string) END, 'subtext', CASE WHEN ar.total_plays > 0 THEN CONCAT(to_char(ar.total_plays, 'FM999,999,999,999'), ' plays') ELSE NULL END ) AS grid, json_build_object( 'title', ar.name_string, 'genre', g.name, 'genre_url', g.slug, 'emoji', COALESCE(ar.emoji, g.emoji), 'plays', to_char(ar.total_plays, 'FM999,999,999,999'), 'image', CONCAT(globals.cdn_url, '/', df.filename_disk), 'url', ar.slug, 'alt', CONCAT(to_char(ar.total_plays, 'FM999,999,999,999'), ' plays of ', ar.name_string) ) AS table, ( SELECT json_agg( json_build_object( 'name', a.name, 'release_year', a.release_year, 'total_plays', to_char(a.total_plays, 'FM999,999,999,999'), 'art', df_album.filename_disk, 'grid', json_build_object( 'title', a.name, 'image', CONCAT(globals.cdn_url, '/', df_album.filename_disk), 'alt', CASE WHEN a.total_plays > 0 THEN CONCAT(to_char(a.total_plays, 'FM999,999,999,999'), ' plays of ', a.name) ELSE CONCAT('Artwork for ', a.name) END, 'subtext', CASE WHEN a.total_plays > 0 THEN CONCAT(a.release_year, ' • ', to_char(a.total_plays, 'FM999,999,999,999'), ' plays') ELSE a.release_year::text END ), 'type', 'albums' ) ORDER BY a.release_year ) FROM albums a LEFT JOIN directus_files df_album ON a.art = df_album.id WHERE a.artist = ar.id ) AS albums, ( SELECT json_agg( json_build_object( 'id', c.id, 'date', c.date, 'venue_name', v.name, 'venue_name_short', trim(split_part(v.name, ',', 1)), 'venue_latitude', v.latitude, 'venue_longitude', v.longitude, 'notes', c.notes ) ORDER BY c.date DESC ) FROM concerts c LEFT JOIN venues v ON c.venue = v.id WHERE c.artist = ar.id ) AS concerts, ( SELECT json_agg( json_build_object( 'title', b.title, 'author', b.author, 'url', b.slug, 'image', CONCAT(globals.cdn_url, '/', df_book.filename_disk), 'grid', json_build_object( 'title', NULL, 'image', CONCAT(globals.cdn_url, '/', df_book.filename_disk), 'alt', CONCAT('Cover for ', b.title, ' by ', b.author), 'subtext', CASE WHEN b.star_rating IS NOT NULL THEN b.star_rating ELSE NULL END, 'url', b.slug ), 'type', 'books' ) ORDER BY b.title ASC ) FROM books_artists ba LEFT JOIN books b ON ba.books_id = b.id LEFT JOIN directus_files df_book ON b.art = df_book.id WHERE ba.artists_id = ar.id AND LOWER(b.read_status) = 'finished' ) AS books, ( SELECT json_agg( json_build_object( 'title', m.title, 'year', m.year, 'url', m.slug, 'image', CONCAT(globals.cdn_url, '/', df_movie.filename_disk), 'grid', json_build_object( 'title', NULL, 'image', CONCAT(globals.cdn_url, '/', df_movie.filename_disk), 'alt', CONCAT('Poster for ', m.title, ' (', m.year, ')'), 'subtext', CASE WHEN m.star_rating IS NOT NULL THEN m.star_rating::text ELSE m.year::text END, 'url', m.slug ), 'type', 'movies' ) ORDER BY m.year ASC ) FROM movies_artists ma LEFT JOIN movies m ON ma.movies_id = m.id LEFT JOIN directus_files df_movie ON m.art = df_movie.id WHERE ma.artists_id = ar.id AND m.last_watched IS NOT NULL ) AS movies, ( SELECT json_agg( json_build_object( 'title', s.title, 'year', s.year, 'url', s.slug, 'image', CONCAT(globals.cdn_url, '/', df_show.filename_disk), 'grid', json_build_object( 'title', NULL, 'image', CONCAT(globals.cdn_url, '/', df_show.filename_disk), 'alt', CONCAT('Artwork for ', s.title), 'subtext', CASE WHEN ( SELECT MAX(e1.last_watched_at) FROM episodes e1 WHERE e1.show = s.id ) >= NOW() - INTERVAL '90 days' THEN ( SELECT CONCAT('S', e2.season_number, 'E', e2.episode_number) FROM episodes e2 WHERE e2.show = s.id ORDER BY e2.last_watched_at DESC, e2.season_number DESC, e2.episode_number DESC LIMIT 1 ) ELSE s.year::text END, 'url', s.slug ), 'type', 'tv' ) ORDER BY s.year ASC ) FROM shows_artists sa LEFT JOIN shows s ON sa.shows_id = s.id LEFT JOIN directus_files df_show ON s.art = df_show.id WHERE sa.artists_id = ar.id AND EXISTS ( SELECT 1 FROM episodes e WHERE e.show = s.id AND e.last_watched_at IS NOT NULL ) ) AS shows, ( SELECT json_agg( json_build_object( 'name', related_ar.name_string, 'url', related_ar.slug, 'country', related_ar.country, 'total_plays', to_char(related_ar.total_plays, 'FM999,999,999,999'), 'image', CONCAT(globals.cdn_url, '/', df_related.filename_disk), 'grid', json_build_object( 'title', related_ar.name_string, 'image', CONCAT(globals.cdn_url, '/', df_related.filename_disk), 'alt', CASE WHEN related_ar.total_plays > 0 THEN CONCAT(to_char(related_ar.total_plays, 'FM999,999,999,999'), ' plays of ', related_ar.name_string) ELSE CONCAT('Artwork of ', related_ar.name_string) END, 'subtext', CASE WHEN related_ar.total_plays > 0 THEN CONCAT(to_char(related_ar.total_plays, 'FM999,999,999,999'), ' plays') ELSE NULL END, 'url', related_ar.slug ), 'type', 'music' ) ORDER BY related_ar.total_plays DESC ) FROM related_artists ra LEFT JOIN artists related_ar ON ra.related_artists_id = related_ar.id LEFT JOIN directus_files df_related ON related_ar.art = df_related.id WHERE ra.artists_id = ar.id ) AS related_artists, json_build_object( 'title', CONCAT('Artist • ', ar.name_string, ' • ', globals.site_name), 'description', LEFT( regexp_replace( regexp_replace( regexp_replace(ar.description, E'[*_`~#>-]', '', 'g'), E'\\[(.*?)\\]\\((.*?)\\)', E'\\1', 'g' ), E'!\\[(.*?)\\]\\((.*?)\\)', '', 'g' ), 250 ), 'open_graph_image', CASE WHEN df.filename_disk IS NOT NULL AND df.filename_disk != '' AND df.filename_disk != '/' THEN CONCAT('/', df.filename_disk) ELSE NULL END, 'url', CONCAT(globals.url, ar.slug), 'type', 'artist' ) AS metadata FROM artists ar LEFT JOIN directus_files df ON ar.art = df.id LEFT JOIN genres g ON ar.genres = g.id CROSS JOIN optimized_globals globals GROUP BY ar.id, df.filename_disk, g.name, g.slug, g.emoji, globals.cdn_url, globals.site_name, globals.url;