125 lines
No EOL
3 KiB
Text
125 lines
No EOL
3 KiB
Text
CREATE OR REPLACE VIEW optimized_movies AS
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SELECT
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m.id,
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m.last_watched,
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m.title,
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m.year,
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m.collected,
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m.plays,
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m.favorite,
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m.tattoo,
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m.star_rating AS rating,
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m.description,
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m.review,
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m.slug AS url,
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CONCAT('/', df.filename_disk) AS image,
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CONCAT('/', df2.filename_disk) AS backdrop,
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json_build_object(
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'title', m.title,
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'url', m.slug,
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'image', CONCAT('/', df.filename_disk),
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'backdrop', CONCAT('/', df2.filename_disk),
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'alt', CONCAT(m.title, ' (', m.year, ')'),
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'subtext', CASE
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WHEN m.star_rating IS NOT NULL THEN CONCAT(m.star_rating, ' (', m.year, ')')
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ELSE CONCAT('(', m.year, ')')
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END
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) AS grid,
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(
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SELECT array_agg(t.name)
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FROM movies_tags mt
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LEFT JOIN tags t ON mt.tags_id = t.id
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WHERE mt.movies_id = m.id
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) AS tags,
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(
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SELECT json_agg(json_build_object(
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'name', g.name,
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'url', g.slug
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) ORDER BY g.name ASC)
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FROM genres_movies gm
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LEFT JOIN genres g ON gm.genres_id = g.id
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WHERE gm.movies_id = m.id
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) AS genres,
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(
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SELECT json_agg(json_build_object(
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'name', a.name_string,
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'url', a.slug,
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'country', a.country,
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'total_plays', a.total_plays
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) ORDER BY a.name_string ASC)
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FROM movies_artists ma
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LEFT JOIN artists a ON ma.artists_id = a.id
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WHERE ma.movies_id = m.id
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) AS artists,
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(
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SELECT json_agg(json_build_object(
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'title', b.title,
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'author', b.author,
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'url', b.slug
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) ORDER BY b.title ASC)
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FROM movies_books mb
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LEFT JOIN books b ON mb.books_id = b.id
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WHERE mb.movies_id = m.id
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) AS books,
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(
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SELECT json_agg(json_build_object(
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'title', s.title,
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'year', s.year,
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'url', s.slug
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) ORDER BY s.year DESC)
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FROM shows_movies sm
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LEFT JOIN shows s ON sm.shows_id = s.id
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WHERE sm.movies_id = m.id
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) AS shows,
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(
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SELECT json_agg(json_build_object(
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'title', p.title,
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'date', p.date,
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'url', p.slug
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) ORDER BY p.date DESC)
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FROM posts_movies pm
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LEFT JOIN posts p ON pm.posts_id = p.id
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WHERE pm.movies_id = m.id
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) AS posts,
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(
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SELECT json_agg(json_build_object(
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'title', rm.title,
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'year', rm.year,
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'url', rm.slug
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) ORDER BY rm.year DESC)
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FROM related_movies r
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LEFT JOIN movies rm ON r.related_movies_id = rm.id
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WHERE r.movies_id = m.id
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) AS related_movies,
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CASE
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WHEN m.star_rating IS NOT NULL AND m.last_watched IS NOT NULL THEN
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json_build_object(
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'title', m.title,
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'url', CONCAT('https://coryd.dev/movies/', m.slug),
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'date', m.last_watched,
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'description', m.description,
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'image', CONCAT('/', df.filename_disk),
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'rating', m.star_rating
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)
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ELSE NULL
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END AS feed
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FROM
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movies m
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LEFT JOIN
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directus_files df ON m.art = df.id
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LEFT JOIN
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directus_files df2 ON m.backdrop = df2.id
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GROUP BY
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m.id, df.filename_disk, df2.filename_disk
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ORDER BY
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m.last_watched DESC, m.favorite DESC, m.title ASC; |