AnthoLume/database/user_streaks.sql

WITH outdated_users AS (
    SELECT
        a.user_id,
        u.timezone AS last_timezone,
        DATE(LOCAL_TIME(MAX(a.created_at), u.timezone)) AS last_seen,
        DATE(LOCAL_TIME(STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'), u.timezone))
            AS last_calculated
    FROM activity AS a
    LEFT JOIN users AS u ON u.id = a.user_id
    LEFT JOIN user_streaks AS s ON a.user_id = s.user_id
    GROUP BY a.user_id
    HAVING
        s.last_timezone != u.timezone
        OR DATE(LOCAL_TIME(STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'), u.timezone))
        != COALESCE(s.last_calculated, '1970-01-01')
        OR DATE(LOCAL_TIME(MAX(a.created_at), u.timezone))
        != COALESCE(s.last_seen, '1970-01-01')
),

document_windows AS (
    SELECT
        activity.user_id,
        users.timezone,
        DATE(
            LOCAL_TIME(activity.start_time, users.timezone),
            'weekday 0', '-7 day'
        ) AS weekly_read,
        DATE(LOCAL_TIME(activity.start_time, users.timezone)) AS daily_read
    FROM activity
    INNER JOIN outdated_users ON outdated_users.user_id = activity.user_id
    LEFT JOIN users ON users.id = activity.user_id
    GROUP BY activity.user_id, weekly_read, daily_read
),

weekly_partitions AS (
    SELECT
        user_id,
        timezone,
        'WEEK' AS "window",
        weekly_read AS read_window,
        ROW_NUMBER() OVER (
            PARTITION BY user_id ORDER BY weekly_read DESC
        ) AS seqnum
    FROM document_windows
    GROUP BY user_id, weekly_read
),

daily_partitions AS (
    SELECT
        user_id,
        timezone,
        'DAY' AS "window",
        daily_read AS read_window,
        ROW_NUMBER() OVER (
            PARTITION BY user_id ORDER BY daily_read DESC
        ) AS seqnum
    FROM document_windows
    GROUP BY user_id, daily_read
),

streaks AS (
    SELECT
        COUNT(*) AS streak,
        MIN(read_window) AS start_date,
        MAX(read_window) AS end_date,
        window,
        user_id,
        timezone
    FROM daily_partitions
    GROUP BY
        timezone,
        user_id,
        DATE(read_window, '+' || seqnum || ' day')

    UNION ALL

    SELECT
        COUNT(*) AS streak,
        MIN(read_window) AS start_date,
        MAX(read_window) AS end_date,
        window,
        user_id,
        timezone
    FROM weekly_partitions
    GROUP BY
        timezone,
        user_id,
        DATE(read_window, '+' || (seqnum * 7) || ' day')
),

max_streak AS (
    SELECT
        MAX(streak) AS max_streak,
        start_date AS max_streak_start_date,
        end_date AS max_streak_end_date,
        window,
        user_id
    FROM streaks
    GROUP BY user_id, window
),

current_streak AS (
    SELECT
        streak AS current_streak,
        start_date AS current_streak_start_date,
        end_date AS current_streak_end_date,
        window,
        user_id
    FROM streaks
    WHERE CASE
      WHEN window = "WEEK" THEN
          DATE(LOCAL_TIME(STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'), timezone), 'weekday 0', '-14 day') = current_streak_end_date
          OR DATE(LOCAL_TIME(STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'), timezone), 'weekday 0', '-7 day') = current_streak_end_date
      WHEN window = "DAY" THEN
          DATE(LOCAL_TIME(STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'), timezone), '-1 day') = current_streak_end_date
          OR DATE(LOCAL_TIME(STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'), timezone)) = current_streak_end_date
    END
    GROUP BY user_id, window
)

INSERT INTO user_streaks
SELECT
    max_streak.user_id,
    max_streak.window,
    IFNULL(max_streak, 0) AS max_streak,
    IFNULL(max_streak_start_date, "N/A") AS max_streak_start_date,
    IFNULL(max_streak_end_date, "N/A") AS max_streak_end_date,
    IFNULL(current_streak.current_streak, 0) AS current_streak,
    IFNULL(current_streak.current_streak_start_date, "N/A") AS current_streak_start_date,
    IFNULL(current_streak.current_streak_end_date, "N/A") AS current_streak_end_date,
    outdated_users.last_timezone AS last_timezone,
    outdated_users.last_seen AS last_seen,
    outdated_users.last_calculated AS last_calculated
FROM max_streak
JOIN outdated_users ON max_streak.user_id = outdated_users.user_id
LEFT JOIN current_streak ON
    current_streak.user_id = max_streak.user_id
    AND current_streak.window = max_streak.window;