CREATE OR REPLACE VIEW optimized_pages AS
SELECT
  p.id,
  p.title,
  p.permalink,
  p.description,
  CONCAT('/', df.filename_disk) AS open_graph_image,
  p.updated,
(
    SELECT
      json_agg(
        CASE WHEN pb.collection = 'youtube_player' THEN
          json_build_object('type', pb.collection, 'url', yp.url)
        WHEN pb.collection = 'github_banner' THEN
          json_build_object('type', pb.collection, 'url', gb.url)
        WHEN pb.collection = 'npm_banner' THEN
          json_build_object('type', pb.collection, 'url', nb.url, 'command', nb.command)
        WHEN pb.collection = 'rss_banner' THEN
          json_build_object('type', pb.collection, 'url', rb.url, 'text', rb.text)
        WHEN pb.collection = 'calendar_banner' THEN
          json_build_object('type', pb.collection, 'url', cb.url, 'text', cb.text)
        WHEN pb.collection = 'hero' THEN
          json_build_object('type', pb.collection, 'image', CONCAT('/', df_hero.filename_disk), 'alt', h.alt_text)
        WHEN pb.collection = 'markdown' THEN
          json_build_object('type', pb.collection, 'text', md.text)
        ELSE
          json_build_object('type', pb.collection)
        END ORDER BY pb.sort)
    FROM
      pages_blocks pb
    LEFT JOIN youtube_player yp ON pb.collection = 'youtube_player'
      AND yp.id = pb.item::integer
  LEFT JOIN github_banner gb ON pb.collection = 'github_banner'
    AND gb.id = pb.item::integer
  LEFT JOIN npm_banner nb ON pb.collection = 'npm_banner'
    AND nb.id = pb.item::integer
  LEFT JOIN rss_banner rb ON pb.collection = 'rss_banner'
    AND rb.id = pb.item::integer
  LEFT JOIN calendar_banner cb ON pb.collection = 'calendar_banner'
    AND cb.id = pb.item::integer
  LEFT JOIN hero h ON pb.collection = 'hero'
    AND h.id = pb.item::integer
  LEFT JOIN directus_files df_hero ON h.image = df_hero.id
  LEFT JOIN markdown md ON pb.collection = 'markdown'
    AND md.id = pb.item::integer
WHERE
  pb.pages_id = p.id) AS blocks
FROM
  pages p
  LEFT JOIN directus_files df ON p.open_graph_image = df.id
GROUP BY
  p.id,
  df.filename_disk;