106 lines
2.8 KiB
Text
106 lines
2.8 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('title', m.title, 'url', m.slug, 'image', CONCAT('/', df.filename_disk), 'backdrop', CONCAT('/', df2.filename_disk), 'alt', CONCAT('Poster from ', m.title, ' (', m.year, ')'), 'subtext', CASE WHEN m.star_rating IS NOT NULL THEN
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CONCAT(m.star_rating, ' (', m.year, ')')
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ELSE
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CONCAT('(', m.year, ')')
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END) AS grid,
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(
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SELECT
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array_agg(t.name)
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FROM
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movies_tags mt
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LEFT JOIN tags t ON mt.tags_id = t.id
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WHERE
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mt.movies_id = m.id) AS tags,
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(
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SELECT
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json_agg(json_build_object('name', g.name, 'url', g.slug)
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ORDER BY g.name ASC)
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FROM
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genres_movies gm
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LEFT JOIN genres g ON gm.genres_id = g.id
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WHERE
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gm.movies_id = m.id) AS genres,
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(
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SELECT
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json_agg(json_build_object('name', a.name_string, 'url', a.slug, 'country', a.country, 'total_plays', a.total_plays)
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ORDER BY a.name_string ASC)
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FROM
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movies_artists ma
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LEFT JOIN artists a ON ma.artists_id = a.id
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WHERE
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ma.movies_id = m.id) AS artists,
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(
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SELECT
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json_agg(json_build_object('title', b.title, 'author', b.author, 'url', b.slug)
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ORDER BY b.title ASC)
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FROM
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movies_books mb
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LEFT JOIN books b ON mb.books_id = b.id
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WHERE
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mb.movies_id = m.id) AS books,
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(
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SELECT
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json_agg(json_build_object('title', s.title, 'year', s.year, 'url', s.slug)
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ORDER BY s.year DESC)
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FROM
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shows_movies sm
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LEFT JOIN shows s ON sm.shows_id = s.id
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WHERE
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sm.movies_id = m.id) AS shows,
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(
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SELECT
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json_agg(json_build_object('title', p.title, 'date', p.date, 'url', p.slug)
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ORDER BY p.date DESC)
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FROM
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posts_movies pm
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LEFT JOIN posts p ON pm.posts_id = p.id
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WHERE
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pm.movies_id = m.id) AS posts,
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(
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SELECT
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json_agg(json_build_object('title', rm.title, 'year', rm.year, 'url', rm.slug)
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ORDER BY rm.year DESC)
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FROM
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related_movies r
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LEFT JOIN movies rm ON r.related_movies_id = rm.id
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WHERE
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r.movies_id = m.id) AS related_movies,
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CASE WHEN m.star_rating IS NOT NULL
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AND m.last_watched IS NOT NULL THEN
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json_build_object('title', m.title, 'url', CONCAT('https://coryd.dev', m.slug), 'date', m.last_watched, 'description', CASE WHEN m.review IS NOT NULL THEN
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m.review
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ELSE
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m.description
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END, 'image', CONCAT('/', df2.filename_disk), 'rating', m.star_rating)
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ELSE
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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 directus_files df ON m.art = df.id
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LEFT JOIN directus_files df2 ON m.backdrop = df2.id
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GROUP BY
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m.id,
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df.filename_disk,
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df2.filename_disk
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ORDER BY
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m.last_watched DESC,
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m.favorite DESC,
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m.title ASC;
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