Encuentra a los usuarios que tienen más probabilidades de convertirse en TL3

Tu parte sobre la configuración parece lo que compartí aquí

Otro ajuste para ordenar por “número de brechas”

Además, filtrar usuarios temprano según last_seen_at para optimizar un poco la consulta

WITH
tl3_reqs as (
  SELECT
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_time_period'), 100) as tl3_time_period,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_days_visited'), 50) as tl3_days_visited,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_topics_replied_to'), 10) as tl3_requires_topics_replied_to,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_topics_viewed'), 25) as tl3_requires_topics_viewed,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_topics_viewed_cap'), 500) as tl3_requires_topics_viewed_cap,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_posts_read'), 25) as tl3_requires_posts_read,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_posts_read_cap'), 20000) as tl3_requires_posts_read_cap,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_topic_viewed_all_time'), 200) as tl3_requires_topic_viewed_all_time,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_posts_read_all_time'), 500) as tl3_requires_posts_read_all_time,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_requires_max_flagged'), 5) as tl3_requires_max_flagged,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_promotion_min_duration'), 14) as tl3_promotion_min_duration,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_promotion_likes_given'), 30) as tl3_promotion_likes_given,
    COALESCE ((SELECT CAST(value AS INT) FROM site_settings WHERE name = 'tl3_promotion_likes_received'), 20) as tl3_promotion_likes_received
),
t as (
  SELECT
    CURRENT_TIMESTAMP - ((0 + MIN(tl3_time_period)) * (INTERVAL '1 days')) AS start,
    CURRENT_TIMESTAMP - (0 * (INTERVAL '1 days')) AS end
  FROM tl3_reqs
),


-- Temas vistos en el período de tiempo
-- menor de x% (predeterminado 25) temas creados en el período de tiempo (predeterminado 100 días)
-- O límite (predeterminado 500)
tvtp AS (
    SELECT LEAST(floor(count(id)*(MIN(tl3_requires_topics_viewed)/100.0))::REAL,MIN(tl3_requires_topics_viewed_cap)) as all_topics
    FROM topics, t, tl3_reqs
    WHERE created_at > t.start 
        AND archetype = 'regular'
        AND deleted_at is null
),

-- Publicaciones leídas en el período de tiempo
-- menor de x% (predeterminado 25) temas creados en el período de tiempo (predeterminado 100 días)
-- O límite (predeterminado 20K)
prtp AS (
    SELECT LEAST(FLOOR(count(id)*(MIN(tl3_requires_posts_read)/100.0))::REAL,MIN(tl3_requires_posts_read_cap)) AS all_posts
    FROM t, posts, tl3_reqs
    WHERE posts.created_at > start 
        AND posts.deleted_at IS NULL
        AND posts.hidden_at IS NULL
        AND posts.last_editor_id > 0  -- Omitir Discobot y Sistema
        AND (action_code IS NULL OR action_code != 'assigned')
),

-- Usuarios con Nivel de Confianza 2
tl AS (
    SELECT id AS user_id, username
    FROM t, users
    WHERE trust_level = 2
    AND last_seen_at > t.start
),

-- Usuarios + visitas y publicaciones leídas en los últimos 100 días
pr AS (
    SELECT user_id, 
        COUNT(1) AS visits,
        SUM(posts_read) AS posts_read
    FROM t, user_visits
    INNER JOIN tl USING (user_id)
    WHERE visited_at > t.start
      AND visited_at < t.end
    GROUP BY user_id
    ORDER BY visits DESC
),

-- Publicaciones leídas en todo momento
prat AS (
    SELECT user_id, 
        SUM(posts_read) AS posts_read
    FROM t, user_visits
    INNER JOIN tl USING (user_id)
    GROUP BY user_id
),

-- Temas respondidos
trt AS (
    SELECT posts.user_id,
           count(distinct topic_id) as replied_count
    FROM t, posts
    INNER JOIN tl USING (user_id)
    INNER JOIN topics ON topics.id = posts.topic_id
    WHERE posts.created_at > t.start
        AND posts.created_at < t.end
        AND topics.user_id <> posts.user_id
        AND posts.deleted_at IS NULL 
        AND topics.deleted_at IS NULL
        AND archetype = 'regular'
    GROUP BY posts.user_id
),

-- Temas vistos en todo momento
tvat AS (
    SELECT tv.user_id,
        COUNT(distinct tv.topic_id) AS topic_id
    FROM topic_views tv
    LEFT JOIN topics t ON tv.topic_id=t.id
    INNER JOIN tl ON tv.user_id=tl.user_id
    WHERE t.archetype = 'regular'
        AND t.deleted_at IS NULL
    GROUP BY tv.user_id
),

-- Temas vistos
tva AS (
    SELECT tv.user_id,
        COUNT(distinct tv.topic_id) AS topic_id
    FROM t, topic_views tv
    LEFT JOIN topics on topic_id=topics.id
    INNER JOIN tl on tv.user_id=tl.user_id
    WHERE 
        topics.archetype = 'regular'
        AND topics.deleted_at is null
        AND viewed_at > t.start
        AND viewed_at < t.end
    GROUP BY tv.user_id
),

likes_received_lhd AS (
    SELECT ua.user_id
        , count(*) as likes_received_lhd
    FROM t, user_actions ua
    JOIN posts p on p.id=ua.target_post_id
    JOIN tl on ua.user_id=tl.user_id
    WHERE ua.action_type=1
        AND ua.created_at > t.start
        AND ua.created_at < t.end
    GROUP BY ua.user_id
),

likes_given_lhd AS (
    SELECT user_id, count(*) as likes_given_lhd
    FROM t, given_daily_likes
    INNER JOIN tl using (user_id)
    WHERE given_date > t.start
        AND given_date < t.end
    GROUP BY user_id
),

gaps AS (
    SELECT  pr.user_id, 
            tl.username,
            GREATEST(tl3_days_visited-COALESCE(pr.visits,0),0) as days_visited_gap,
            GREATEST(tl3_requires_topics_replied_to-COALESCE(trt.replied_count,0), 0)  as topics_replied_to_gap,
            GREATEST(tvtp.all_topics-COALESCE(tva.topic_id,0),0) AS topics_viewed_to_gap,
            GREATEST(prtp.all_posts - COALESCE(pr.posts_read,0),0) as posts_read_gap,
            GREATEST(tl3_promotion_likes_given-COALESCE(likes_given_lhd,0),0) as likes_given_gap,
            GREATEST(tl3_promotion_likes_received-COALESCE(likes_received_lhd,0),0) as likes_received_gap,
            GREATEST(tl3_requires_topic_viewed_all_time-COALESCE(tvat.topic_id,0),0) as topics_viewed_all_time_gap,
            GREATEST(tl3_requires_posts_read_all_time-COALESCE(prat.posts_read,0),0) as posts_read_all_time_gap
    FROM prtp, tvtp, tl3_reqs, pr
    LEFT JOIN tl USING (user_id)
    LEFT JOIN trt USING (user_id)
    LEFT JOIN tva USING (user_id)
    LEFT JOIN tvat USING (user_id)
    LEFT JOIN prat USING (user_id)
    LEFT JOIN likes_received_lhd USING (user_id)
    LEFT JOIN likes_given_lhd USING (user_id)
),

num_gaps AS (
  SELECT 
    user_id,
    CASE WHEN days_visited_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN topics_replied_to_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN topics_viewed_to_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN posts_read_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN likes_given_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN likes_received_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN topics_viewed_all_time_gap > 0 THEN 1 ELSE 0 END
    + CASE WHEN posts_read_all_time_gap > 0 THEN 1 ELSE 0 END AS num_gaps
  FROM gaps
)


SELECT 
  gaps.*,
  num_gaps.num_gaps
  FROM gaps
  LEFT JOIN num_gaps USING (user_id)
ORDER BY num_gaps