AnthoLume/database/schema.sql

374 lines
10 KiB
MySQL
Raw Normal View History

2023-09-18 23:57:18 +00:00
PRAGMA foreign_keys = ON;
PRAGMA journal_mode = WAL;
2023-09-18 23:57:18 +00:00
---------------------------------------------------------------
------------------------ Normal Tables ------------------------
---------------------------------------------------------------
2023-09-18 23:57:18 +00:00
-- Authentication
CREATE TABLE IF NOT EXISTS users (
id TEXT NOT NULL PRIMARY KEY,
pass TEXT NOT NULL,
admin BOOLEAN NOT NULL DEFAULT 0 CHECK (admin IN (0, 1)),
time_offset TEXT NOT NULL DEFAULT '0 hours',
2023-09-18 23:57:18 +00:00
2023-10-06 01:04:57 +00:00
created_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'))
2023-09-18 23:57:18 +00:00
);
-- Books / Documents
CREATE TABLE IF NOT EXISTS documents (
id TEXT NOT NULL PRIMARY KEY,
md5 TEXT,
filepath TEXT,
coverfile TEXT,
2023-09-18 23:57:18 +00:00
title TEXT,
author TEXT,
series TEXT,
series_index INTEGER,
lang TEXT,
description TEXT,
words INTEGER,
gbid TEXT,
2023-09-18 23:57:18 +00:00
olid TEXT,
isbn10 TEXT,
isbn13 TEXT,
2023-09-18 23:57:18 +00:00
synced BOOLEAN NOT NULL DEFAULT 0 CHECK (synced IN (0, 1)),
deleted BOOLEAN NOT NULL DEFAULT 0 CHECK (deleted IN (0, 1)),
2023-10-06 01:04:57 +00:00
updated_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')),
created_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now'))
2023-09-18 23:57:18 +00:00
);
-- Metadata
CREATE TABLE IF NOT EXISTS metadata (
id INTEGER PRIMARY KEY AUTOINCREMENT,
document_id TEXT NOT NULL,
title TEXT,
author TEXT,
description TEXT,
gbid TEXT,
olid TEXT,
isbn10 TEXT,
isbn13 TEXT,
2023-10-06 01:04:57 +00:00
created_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')),
FOREIGN KEY (document_id) REFERENCES documents (id)
);
2023-09-18 23:57:18 +00:00
-- Devices
CREATE TABLE IF NOT EXISTS devices (
id TEXT NOT NULL PRIMARY KEY,
user_id TEXT NOT NULL,
device_name TEXT NOT NULL,
2023-10-06 01:04:57 +00:00
last_synced DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')),
created_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')),
2023-09-18 23:57:18 +00:00
sync BOOLEAN NOT NULL DEFAULT 1 CHECK (sync IN (0, 1)),
FOREIGN KEY (user_id) REFERENCES users (id)
);
-- User Document Progress
CREATE TABLE IF NOT EXISTS document_progress (
user_id TEXT NOT NULL,
document_id TEXT NOT NULL,
device_id TEXT NOT NULL,
percentage REAL NOT NULL,
progress TEXT NOT NULL,
2023-10-06 01:04:57 +00:00
created_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')),
2023-09-18 23:57:18 +00:00
FOREIGN KEY (user_id) REFERENCES users (id),
FOREIGN KEY (document_id) REFERENCES documents (id),
FOREIGN KEY (device_id) REFERENCES devices (id),
PRIMARY KEY (user_id, document_id, device_id)
);
-- Read Activity
CREATE TABLE IF NOT EXISTS activity (
2023-09-18 23:57:18 +00:00
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT NOT NULL,
document_id TEXT NOT NULL,
device_id TEXT NOT NULL,
start_time DATETIME NOT NULL,
start_percentage REAL NOT NULL,
end_percentage REAL NOT NULL,
duration INTEGER NOT NULL,
2023-10-06 01:04:57 +00:00
created_at DATETIME NOT NULL DEFAULT (STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')),
2023-09-18 23:57:18 +00:00
FOREIGN KEY (user_id) REFERENCES users (id),
FOREIGN KEY (document_id) REFERENCES documents (id),
FOREIGN KEY (device_id) REFERENCES devices (id)
);
---------------------------------------------------------------
----------------------- Temporary Tables ----------------------
---------------------------------------------------------------
-- Temporary User Streaks Table (Cached from View)
CREATE TEMPORARY TABLE IF NOT EXISTS user_streaks (
user_id TEXT NOT NULL,
window TEXT NOT NULL,
max_streak INTEGER NOT NULL,
max_streak_start_date TEXT NOT NULL,
max_streak_end_date TEXT NOT NULL,
current_streak INTEGER NOT NULL,
current_streak_start_date TEXT NOT NULL,
current_streak_end_date TEXT NOT NULL
);
CREATE TEMPORARY TABLE IF NOT EXISTS document_user_statistics (
document_id TEXT NOT NULL,
user_id TEXT NOT NULL,
last_read TEXT NOT NULL,
total_time_seconds INTEGER NOT NULL,
read_percentage REAL NOT NULL,
percentage REAL NOT NULL,
words_read INTEGER NOT NULL,
wpm REAL NOT NULL
);
---------------------------------------------------------------
--------------------------- Indexes ---------------------------
---------------------------------------------------------------
CREATE INDEX IF NOT EXISTS activity_start_time ON activity (start_time);
CREATE INDEX IF NOT EXISTS activity_user_id ON activity (user_id);
CREATE INDEX IF NOT EXISTS activity_user_id_document_id ON activity (
user_id,
document_id
);
---------------------------------------------------------------
---------------------------- Views ----------------------------
---------------------------------------------------------------
--------------------------------
--------- User Streaks ---------
--------------------------------
CREATE VIEW IF NOT EXISTS view_user_streaks AS
WITH document_windows AS (
SELECT
activity.user_id,
users.time_offset,
DATE(
activity.start_time,
users.time_offset,
'weekday 0', '-7 day'
) AS weekly_read,
DATE(activity.start_time, users.time_offset) AS daily_read
FROM activity
LEFT JOIN users ON users.id = activity.user_id
GROUP BY activity.user_id, weekly_read, daily_read
),
weekly_partitions AS (
SELECT
user_id,
time_offset,
'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,
time_offset,
'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,
time_offset
FROM daily_partitions
GROUP BY
time_offset,
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,
time_offset
FROM weekly_partitions
GROUP BY
time_offset,
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('now', time_offset, 'weekday 0', '-14 day') = current_streak_end_date
OR DATE('now', time_offset, 'weekday 0', '-7 day') = current_streak_end_date
WHEN window = "DAY" THEN
DATE('now', time_offset, '-1 day') = current_streak_end_date
OR DATE('now', time_offset) = current_streak_end_date
END
GROUP BY user_id, window
)
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, 0) AS current_streak,
IFNULL(current_streak_start_date, "N/A") AS current_streak_start_date,
IFNULL(current_streak_end_date, "N/A") AS current_streak_end_date
FROM max_streak
LEFT JOIN current_streak ON
current_streak.user_id = max_streak.user_id
AND current_streak.window = max_streak.window;
--------------------------------
------- Document Stats ---------
--------------------------------
CREATE VIEW IF NOT EXISTS view_document_user_statistics AS
WITH intermediate_ga AS (
SELECT
ga1.id AS row_id,
ga1.user_id,
ga1.document_id,
ga1.duration,
ga1.start_time,
ga1.start_percentage,
ga1.end_percentage,
-- Find Overlapping Events (Assign Unique ID)
(
SELECT MIN(id)
FROM activity AS ga2
WHERE
ga1.document_id = ga2.document_id
AND ga1.user_id = ga2.user_id
AND ga1.start_percentage <= ga2.end_percentage
AND ga1.end_percentage >= ga2.start_percentage
) AS group_leader
FROM activity AS ga1
),
grouped_activity AS (
SELECT
user_id,
document_id,
MAX(start_time) AS start_time,
MIN(start_percentage) AS start_percentage,
MAX(end_percentage) AS end_percentage,
MAX(end_percentage) - MIN(start_percentage) AS read_percentage,
SUM(duration) AS duration
FROM intermediate_ga
GROUP BY group_leader
),
current_progress AS (
SELECT
user_id,
document_id,
COALESCE((
SELECT percentage
FROM document_progress AS dp
WHERE
dp.user_id = iga.user_id
AND dp.document_id = iga.document_id
), end_percentage) AS percentage
FROM intermediate_ga AS iga
GROUP BY user_id, document_id
HAVING MAX(start_time)
)
SELECT
ga.document_id,
ga.user_id,
MAX(start_time) AS last_read,
SUM(duration) AS total_time_seconds,
SUM(read_percentage) AS read_percentage,
cp.percentage,
(CAST(COALESCE(d.words, 0.0) AS REAL) * SUM(read_percentage))
AS words_read,
(CAST(COALESCE(d.words, 0.0) AS REAL) * SUM(read_percentage))
/ (SUM(duration) / 60.0) AS wpm
FROM grouped_activity AS ga
INNER JOIN
current_progress AS cp
ON ga.user_id = cp.user_id AND ga.document_id = cp.document_id
INNER JOIN
documents AS d
ON d.id = ga.document_id
GROUP BY ga.document_id, ga.user_id
ORDER BY wpm DESC;
---------------------------------------------------------------
------------------ Populate Temporary Tables ------------------
---------------------------------------------------------------
INSERT INTO user_streaks SELECT * FROM view_user_streaks;
INSERT INTO document_user_statistics SELECT * FROM view_document_user_statistics;
---------------------------------------------------------------
--------------------------- Triggers --------------------------
---------------------------------------------------------------
-- Update Trigger
CREATE TRIGGER IF NOT EXISTS update_documents_updated_at
BEFORE UPDATE ON documents BEGIN
UPDATE documents
2023-10-06 01:04:57 +00:00
SET updated_at = STRFTIME('%Y-%m-%dT%H:%M:%SZ', 'now')
WHERE id = old.id;
END;