100 lines
2.3 KiB
SQL
100 lines
2.3 KiB
SQL
USE borrow_system_new;
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-- USERS
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INSERT INTO users (username, password, email, first_name, last_name, role, is_admin)
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VALUES
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('user1', 'passwordhash1', 'user1@example.com', 'First1', 'Last1', 1, false),
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('user2', 'passwordhash2', 'user2@example.com', 'First2', 'Last2', 1, false),
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('user3', 'passwordhash3', 'user3@example.com', 'First3', 'Last3', 2, false),
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('admin1', 'passwordhash4', 'admin1@example.com', 'Admin', 'One', 9, true),
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('admin2', 'passwordhash5', 'admin2@example.com', 'Admin', 'Two', 9, true);
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-- ITEMS
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INSERT INTO items (item_name, can_borrow_role, in_safe, safe_nr, door_key, last_borrowed_person, currently_borrowing)
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VALUES
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('Item1', 1, true, 1, 101, NULL, NULL),
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('Item2', 1, true, 2, 102, 'user1', 'user1'),
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('Item3', 2, true, 3, 103, 'user2', NULL),
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('Item4', 1, false, NULL, NULL, NULL, NULL),
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('Item5', 2, false, NULL, NULL, 'user3', 'user3');
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-- LOANS
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INSERT INTO loans (
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username,
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lockers,
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loan_code,
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start_date,
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end_date,
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take_date,
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returned_date,
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created_at,
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loaned_items_id,
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loaned_items_name,
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deleted,
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note
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)
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VALUES
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(
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'user1',
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JSON_ARRAY('Locker1', 'Locker2'),
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'123456',
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'2026-02-01 09:00:00',
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'2026-02-10 17:00:00',
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'2026-02-01 09:15:00',
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NULL,
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'2026-02-01 09:00:00',
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JSON_ARRAY(1, 2),
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JSON_ARRAY('Item1', 'Item2'),
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false,
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'Erste allgemeine Ausleihe'
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),
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(
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'user2',
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JSON_ARRAY('Locker3'),
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'234567',
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'2026-02-02 10:00:00',
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'2026-02-05 16:00:00',
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'2026-02-02 10:05:00',
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'2026-02-05 15:30:00',
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'2026-02-02 10:00:00',
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JSON_ARRAY(3),
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JSON_ARRAY('Item3'),
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false,
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'Zurückgegeben vor Enddatum'
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),
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(
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'user3',
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JSON_ARRAY(),
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'345678',
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'2026-02-03 08:30:00',
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'2026-02-15 18:00:00',
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NULL,
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NULL,
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'2026-02-03 08:30:00',
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JSON_ARRAY(5),
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JSON_ARRAY('Item5'),
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false,
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'Noch ausgeliehen'
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),
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(
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'user1',
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JSON_ARRAY('Locker4'),
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'456789',
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'2025-12-01 09:00:00',
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'2025-12-03 17:00:00',
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'2025-12-01 09:10:00',
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'2025-12-03 16:45:00',
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'2025-12-01 09:00:00',
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JSON_ARRAY(1),
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JSON_ARRAY('Item1'),
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true,
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'Alte, gelöschte Ausleihe'
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);
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-- API KEYS
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INSERT INTO apiKeys (api_key, entry_name)
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VALUES
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('10000001', 'Entry1'),
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('10000002', 'Entry2'),
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('10000003', 'Entry3'),
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('10000004', 'Entry4'); |