coryd.dev/queries/views/media/movies.sql

336 lines
7.8 KiB
SQL

CREATE OR REPLACE VIEW optimized_movies AS
SELECT
m.id,
m.tmdb_id,
m.last_watched,
m.title,
m.year,
m.plays,
m.favorite,
m.tattoo,
m.star_rating AS rating,
m.description,
m.review,
m.slug AS url,
CONCAT(globals.cdn_url, '/', df.filename_disk) AS image,
CONCAT(globals.cdn_url, '/', df2.filename_disk) AS backdrop,
json_build_object(
'title',
m.title,
'url',
m.slug,
'image',
CONCAT(globals.cdn_url, '/', df.filename_disk),
'backdrop',
CONCAT(globals.cdn_url, '/', df2.filename_disk),
'alt',
CONCAT('Poster from ', m.title),
'subtext',
CASE
WHEN m.last_watched >= NOW() - INTERVAL '90 days' THEN m.star_rating::text
ELSE m.year::text
END,
'type',
'movies'
) AS grid,
(
SELECT
array_agg(t.name)
FROM
movies_tags mt
LEFT JOIN tags t ON mt.tags_id = t.id
WHERE
mt.movies_id = m.id
) AS tags,
(
SELECT
json_agg(
json_build_object('name', g.name, 'url', g.slug)
ORDER BY
g.name ASC
)
FROM
genres_movies gm
LEFT JOIN genres g ON gm.genres_id = g.id
WHERE
gm.movies_id = m.id
) AS genres,
(
SELECT
json_agg(
json_build_object(
'name',
a.name_string,
'url',
a.slug,
'country',
a.country,
'total_plays',
a.total_plays,
'image',
CONCAT(globals.cdn_url, '/', df_artist.filename_disk),
'grid',
json_build_object(
'title',
a.name_string,
'image',
CONCAT(globals.cdn_url, '/', df_artist.filename_disk),
'alt',
CASE
WHEN a.total_plays > 0 THEN CONCAT(
to_char(a.total_plays, 'FM999,999,999,999'),
' plays of ',
a.name_string
)
ELSE CONCAT('Artwork of ', a.name_string)
END,
'subtext',
CASE
WHEN a.total_plays > 0 THEN CONCAT(
to_char(a.total_plays, 'FM999,999,999,999'),
' plays'
)
ELSE NULL
END,
'url',
a.slug
),
'type',
'music'
)
ORDER BY
a.total_plays DESC
)
FROM
movies_artists ma
LEFT JOIN artists a ON ma.artists_id = a.id
LEFT JOIN directus_files df_artist ON a.art = df_artist.id
WHERE
ma.movies_id = m.id
) AS artists,
(
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',
b.title,
'image',
CONCAT(globals.cdn_url, '/', df_book.filename_disk),
'alt',
CONCAT('Cover for ', b.title, ' by ', b.author),
'subtext',
b.author,
'url',
b.slug
),
'type',
'books'
)
ORDER BY
b.title
)
FROM
movies_books mb
LEFT JOIN books b ON mb.books_id = b.id
LEFT JOIN directus_files df_book ON b.art = df_book.id
WHERE
mb.movies_id = m.id
AND LOWER(b.read_status) = 'finished'
) AS books,
(
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_movies sm
LEFT JOIN shows s ON sm.shows_id = s.id
LEFT JOIN directus_files df_show ON s.art = df_show.id
WHERE
sm.movies_id = m.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('title', p.title, 'date', p.date, 'url', p.slug)
ORDER BY
p.date DESC
)
FROM
posts_movies pm
LEFT JOIN posts p ON pm.posts_id = p.id
WHERE
pm.movies_id = m.id
) AS posts,
(
SELECT
json_agg(
json_build_object(
'title',
rm.title,
'year',
rm.year,
'url',
rm.slug,
'image',
CONCAT(globals.cdn_url, '/', df_related.filename_disk),
'grid',
json_build_object(
'title',
rm.title,
'image',
CONCAT(globals.cdn_url, '/', df_related.filename_disk),
'alt',
CONCAT('Poster for ', rm.title),
'subtext',
CASE
WHEN rm.last_watched IS NOT NULL THEN rm.star_rating::text
ELSE rm.year::text
END,
'url',
rm.slug
),
'type',
'movies'
)
ORDER BY
rm.year ASC
)
FROM
related_movies r
LEFT JOIN movies rm ON r.related_movies_id = rm.id
LEFT JOIN directus_files df_related ON rm.art = df_related.id
WHERE
r.movies_id = m.id
AND rm.last_watched IS NOT NULL
) AS related_movies,
CASE
WHEN m.star_rating IS NOT NULL
AND m.last_watched IS NOT NULL THEN json_build_object(
'title',
CONCAT(m.title, ' (', m.star_rating, ')'),
'url',
m.slug,
'date',
m.last_watched,
'description',
COALESCE(m.review, m.description),
'image',
CONCAT(globals.cdn_url, '/', df.filename_disk),
'rating',
m.star_rating
)
ELSE NULL
END AS feed,
json_build_object(
'title',
CONCAT('Movie • ', m.title, '', globals.site_name),
'description',
LEFT(
regexp_replace(
regexp_replace(
regexp_replace(m.description, E'[*_`~#>-]', '', 'g'),
E'\\[(.*?)\\]\\((.*?)\\)',
E'\\1',
'g'
),
E'!\\[(.*?)\\]\\((.*?)\\)',
'',
'g'
),
250
),
'open_graph_image',
CASE
WHEN df2.filename_disk IS NOT NULL
AND df2.filename_disk != ''
AND df2.filename_disk != '/' THEN CONCAT('/', df2.filename_disk)
ELSE NULL
END,
'url',
CONCAT(globals.url, m.slug),
'type',
'movie'
) AS metadata
FROM
movies m
LEFT JOIN directus_files df ON m.art = df.id
LEFT JOIN directus_files df2 ON m.backdrop = df2.id
CROSS JOIN optimized_globals globals
GROUP BY
m.id,
df.filename_disk,
df2.filename_disk,
globals.cdn_url,
globals.site_name,
globals.url
ORDER BY
m.last_watched DESC;