78 lines
2.1 KiB
MySQL
78 lines
2.1 KiB
MySQL
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INSERT INTO document_user_statistics
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WITH intermediate_ga AS (
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SELECT
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ga1.id AS row_id,
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ga1.user_id,
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ga1.document_id,
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ga1.duration,
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ga1.start_time,
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ga1.start_percentage,
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ga1.end_percentage,
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-- Find Overlapping Events (Assign Unique ID)
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(
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SELECT MIN(id)
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FROM activity AS ga2
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WHERE
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ga1.document_id = ga2.document_id
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AND ga1.user_id = ga2.user_id
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AND ga1.start_percentage <= ga2.end_percentage
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AND ga1.end_percentage >= ga2.start_percentage
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) AS group_leader
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FROM activity AS ga1
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WHERE
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document_id = ?
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AND user_id = ?
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),
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grouped_activity AS (
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SELECT
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user_id,
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document_id,
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MAX(start_time) AS start_time,
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MIN(start_percentage) AS start_percentage,
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MAX(end_percentage) AS end_percentage,
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MAX(end_percentage) - MIN(start_percentage) AS read_percentage,
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SUM(duration) AS duration
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FROM intermediate_ga
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GROUP BY group_leader
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),
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current_progress AS (
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SELECT
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user_id,
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document_id,
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COALESCE((
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SELECT percentage
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FROM document_progress AS dp
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WHERE
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dp.user_id = iga.user_id
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AND dp.document_id = iga.document_id
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ORDER BY created_at DESC
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LIMIT 1
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), end_percentage) AS percentage
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FROM intermediate_ga AS iga
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GROUP BY user_id, document_id
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HAVING MAX(start_time)
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)
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SELECT
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ga.document_id,
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ga.user_id,
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MAX(start_time) AS last_read,
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SUM(duration) AS total_time_seconds,
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SUM(read_percentage) AS read_percentage,
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cp.percentage,
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(CAST(COALESCE(d.words, 0.0) AS REAL) * SUM(read_percentage))
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AS words_read,
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(CAST(COALESCE(d.words, 0.0) AS REAL) * SUM(read_percentage))
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/ (SUM(duration) / 60.0) AS wpm
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FROM grouped_activity AS ga
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INNER JOIN
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current_progress AS cp
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ON ga.user_id = cp.user_id AND ga.document_id = cp.document_id
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INNER JOIN
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documents AS d
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ON d.id = ga.document_id
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GROUP BY ga.document_id, ga.user_id
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ORDER BY wpm DESC;
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