Using generic slugify for MindGeek channel.
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@ -476,6 +476,15 @@ exports.up = knex => Promise.resolve()
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ALTER TABLE releases_search
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ADD COLUMN document tsvector;
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CREATE TEXT SEARCH DICTIONARY traxxx (
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TEMPLATE = pg_catalog.simple,
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stopwords = traxxx
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);
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CREATE TEXT SEARCH CONFIGURATION traxxx (
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COPY = english
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);
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CREATE UNIQUE INDEX releases_search_unique ON releases_search (release_id);
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CREATE INDEX releases_search_index ON releases_search USING GIN (document);
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@ -492,8 +501,8 @@ exports.up = knex => Promise.resolve()
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CREATE FUNCTION search_releases(query text) RETURNS SETOF releases_search AS $$
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SELECT * FROM releases_search AS search
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WHERE search.document @@ plainto_tsquery(replace(query, '.', ' '))
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ORDER BY ts_rank(search.document, plainto_tsquery(replace(query, '.', ' '))) DESC;
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WHERE search.document @@ plainto_tsquery('traxxx', replace(query, '.', ' '))
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ORDER BY ts_rank(search.document, plainto_tsquery('traxxx', replace(query, '.', ' '))) DESC;
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$$ LANGUAGE SQL STABLE;
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/*
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@ -557,4 +566,7 @@ exports.down = knex => knex.raw(`
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DROP TABLE IF EXISTS media CASCADE;
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DROP TABLE IF EXISTS countries CASCADE;
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DROP TABLE IF EXISTS networks CASCADE;
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DROP TEXT SEARCH CONFIGURATION IF EXISTS traxxx;
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DROP TEXT SEARCH DICTIONARY IF EXISTS traxxx;
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`);
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@ -374,21 +374,30 @@ async function updateReleasesSearch(releaseIds) {
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SELECT
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releases.id as release_id,
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to_tsvector(
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'traxxx',
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releases.title || ' ' ||
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sites.name || ' ' ||
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sites.slug || ' ' ||
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replace(CAST(releases.date AS VARCHAR), '-', ' ') || ' ' ||
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networks.name || ' ' ||
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networks.slug || ' ' ||
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EXTRACT(YEAR FROM releases.date) || ' ' ||
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CAST(EXTRACT(MONTH FROM releases.date) AS VARCHAR) || ' ' ||
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CAST(EXTRACT(DAY FROM releases.date) AS VARCHAR) || ' ' ||
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SUBSTRING(CAST(EXTRACT(YEAR FROM releases.date) AS VARCHAR) FROM 3 for 2) || ' ' ||
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LPAD(CAST(EXTRACT(MONTH FROM releases.date) AS VARCHAR), 2, '0') || ' ' ||
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LPAD(CAST(EXTRACT(DAY FROM releases.date) AS VARCHAR), 2, '0') || ' ' ||
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string_agg(coalesce(actors.name, ''), ' ') || ' ' ||
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string_agg(coalesce(tags.name, ''), ' ')
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) as document
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FROM releases
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JOIN sites ON releases.site_id = sites.id
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LEFT JOIN sites ON releases.site_id = sites.id
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LEFT JOIN networks ON sites.network_id = networks.id
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LEFT JOIN releases_actors AS local_actors ON local_actors.release_id = releases.id
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LEFT JOIN releases_tags AS local_tags ON local_tags.release_id = releases.id
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LEFT JOIN actors ON local_actors.actor_id = actors.id
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LEFT JOIN tags ON local_tags.tag_id = tags.id
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WHERE releases.id = ANY(?)
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GROUP BY releases.id, sites.name, sites.slug;
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GROUP BY releases.id, sites.name, sites.slug, networks.name, networks.slug;
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`, [releaseIds]);
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if (documents.rows?.length > 0) {
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@ -467,13 +476,14 @@ async function storeReleases(releases) {
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const actors = accumulateActors(storedReleases);
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const movies = accumulateMovies(storedReleases);
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await associateActors(actors, storedReleases);
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await Promise.all([
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associateActors(actors, storedReleases),
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// actors need to be stored before generating search
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updateReleasesSearch(storedReleases.map(release => release.id)),
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storeReleaseAssets(storedReleases),
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]);
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await updateReleasesSearch(storedReleases.map(release => release.id));
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if (argv.withProfiles && Object.keys(actors).length > 0) {
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await scrapeBasicActors();
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}
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@ -8,6 +8,7 @@ const { CookieJar } = Promise.promisifyAll(require('tough-cookie'));
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const moment = require('moment');
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const { ex } = require('../utils/q');
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const slugify = require('../utils/slugify');
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const { inchesToCm, lbsToKg } = require('../utils/convert');
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const { cookieToData } = require('../utils/cookies');
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@ -97,7 +98,7 @@ function scrapeScene(data, url, _site, networkName) {
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}
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const siteName = data.collections[0]?.name || data.brand;
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release.channel = siteName.replace(/\s+/g, '').toLowerCase();
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release.channel = slugify(siteName, { delimiter: '' });
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release.url = url || `https://www.${networkName || data.brand}.com/scene/${entryId}/`;
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