Barand

Logging every login by a registered user is the favoured option. Not only does it give you an audit trail of the logins but it adds functionality, such as being able to count logins in different time periods or determine most popular login times etc.

const LOG_READ_SIZE = 1024; Place that line somewhere in your code that is before you refer to LOG_READ_SIZE and where it will definitely be executed (EG not inside an IF() block.

PHP array... $data = [ 'store_id' => 'test', 'api_token' => 'test', 'checkout_id' => 'test', 'txn_total' => '4.00', 'environment' => 'qa', 'action' => 'preload', 'cart' => [ 'items' => [ [ 'description' => 'Item 1', 'unit_cost' => '1.00', 'quantity' => '3' ], [ 'description' => 'Item 2', 'unit_cost' => '1.00', 'quantity' => '1' ] ], 'subtotal' => '4.00' ] ]; $json = json_encode($data); echo $json; gives this json string (spaces and newlines added for readability) { "store_id":"test", "api_token":"test", "checkout_id":"test", "txn_total":"4.00", "environment":"qa", "action":"preload", "cart":{ "items":[ {"description":"Item 1", "unit_cost":"1.00", "quantity":"3" }, { "description":"Item 2", "unit_cost":"1.00", "quantity":"1" } ], "subtotal":"4.00" } }

Welcome.

JSON is a data structure converted to string format to make storage and transfer easier. Define your json as a a PHP string ... $json_str = ' { "store_id":"test", "api_token":"test", "checkout_id":"test", "txn_total":"4.00", "environment":"qa", "action":"preload", "cart":{ "items":[ { "description":"item 1", "unit_cost":"1.00", "quantity":"3" }, { "description":"item 2", "unit_cost":"1.00", "quantity":"1" } ], "subtotal":"4.00" } } '; Provided it is the correct format you use this in the api call. To use the data in PHP you need to decode it with json_decode()... $data = json_decode($json_str, true); # the second parameter "true" converts it to an array. # without it you get a php object. // view the resulting array data echo '<pre>' . print_r($data, 1) . '</pre>'; ... which gives us ... Array ( [store_id] => test [api_token] => test [checkout_id] => test [txn_total] => 4.00 [environment] => qa [action] => preload [cart] => Array ( [items] => Array ( [0] => Array ( [description] => item 1 [unit_cost] => 1.00 [quantity] => 3 ) [1] => Array ( [description] => item 2 [unit_cost] => 1.00 [quantity] => 1 ) ) [subtotal] => 4.00 ) )

I'd take the easy way out and use the database with a single query DATA TABLE : season; TABLE : price +-----------+----------------+------------+------------+--------+ +----+--------+------+-------+ | season_id | name | start_date | end_date | tariff | | id | tariff | day | price | +-----------+----------------+------------+------------+--------+ +----+--------+------+-------+ | 1 | Winter 2024 | 2024-11-01 | 2024-12-23 | LO | | 1 | ST | 0 | 70 | day 0 = Monday | 2 | Christmas 2024 | 2024-12-24 | 2025-01-02 | PK | | 2 | ST | 1 | 70 | | 3 | Easter 2025 | 2025-04-11 | 2025-04-27 | PK | | 3 | ST | 2 | 70 | | 4 | Summer 2025 | 2025-06-15 | 2025-08-31 | HI | | 4 | ST | 3 | 70 | +-----------+----------------+------------+------------+--------+ | 5 | ST | 4 | 90 | | 6 | ST | 5 | 90 | | 7 | ST | 6 | 70 | day 6 = Sunday TABLE : tariff | 8 | LO | 0 | 55 | +--------+-------------+ | 9 | LO | 1 | 55 | | tariff | description | | 10 | LO | 2 | 55 | +--------+-------------+ | 11 | LO | 3 | 55 | | HI | High season | | 12 | LO | 4 | 75 | | LO | Low season | | 13 | LO | 5 | 75 | | PK | Peak season | | 14 | LO | 6 | 55 | | ST | Standard | | 15 | HI | 0 | 90 | +--------+-------------+ | 16 | HI | 1 | 90 | | 17 | HI | 2 | 90 | TABLE : booking | 18 | HI | 3 | 90 | +----+------------+---------+------------+ | 19 | HI | 4 | 110 | | id | booking_no | room_no | book_date | | 20 | HI | 5 | 110 | +----+------------+---------+------------+ | 21 | HI | 6 | 90 | | 1 | 1 | 1 | 2025-05-07 | | 22 | PK | 0 | 110 | | 2 | 1 | 1 | 2025-05-08 | | 23 | PK | 1 | 110 | | 3 | 1 | 1 | 2025-05-09 | | 24 | PK | 2 | 110 | | 4 | 2 | 5 | 2025-04-25 | | 25 | PK | 3 | 110 | | 5 | 2 | 5 | 2025-04-26 | | 26 | PK | 4 | 125 | | 6 | 2 | 5 | 2025-04-27 | | 27 | PK | 5 | 125 | | 7 | 2 | 5 | 2025-04-28 | | 28 | PK | 6 | 110 | | 8 | 2 | 5 | 2025-04-29 | +----+--------+------+-------+ | 9 | 2 | 5 | 2025-04-30 | +----+------------+---------+------------+ QUERY SELECT b.booking_no , MIN(b.book_date) as `from` , MAX(b.book_date) as until , SUM(p.price) as total FROM booking b LEFT JOIN season s ON b.book_date between s.start_date AND s.end_date LEFT JOIN price p ON coalesce(s.tariff, 'ST') = p.tariff -- tariff defaults to "ST" if no seasons match date AND p.day = weekday(b.book_date) GROUP BY b.booking_no; +------------+------------+------------+-------+ | booking_no | from | until | total | +------------+------------+------------+-------+ | 1 | 2025-05-07 | 2025-05-09 | 230 | | 2 | 2025-04-25 | 2025-04-30 | 570 | +------------+------------+------------+-------+

<?php $images = glob("path/to/folder a/*.*"); foreach ($images as $i) { echo "<img src='$i'>"; }

The DATEDIFF() function will give the difference in days. Use TIMESTAMPDIFF() which lets you the specify the units for the result. mysql> SELECT NOW(), timestampdiff(SECOND, '2025-04-26 20:30:00', NOW()) as diff; +---------------------+------+ | NOW() | diff | +---------------------+------+ | 2025-04-26 21:34:51 | 3891 | +---------------------+------+ 1 row in set (0.00 sec) mysql> SELECT NOW(), timestampdiff(MINUTE, '2025-04-26 20:30:00', NOW()) as diff; +---------------------+------+ | NOW() | diff | +---------------------+------+ | 2025-04-26 21:35:22 | 65 | +---------------------+------+ 1 row in set (0.00 sec)

If the only reason for that value is to write to the DB then you can do it in the insert query... INSERT INTO tablename (colx, coly, colz) VALUES (?, ?, NOW() + INTERVAL 10 MINUTE)

Put icon insisde a link EG... <a href='https://facebook.com'> <i class="fa-brands fa-facebook w3-hover-opacity"></i> </a>

INSERT INTO `Bank_Reason` (`ID`, `ReasonID`, `Reason`,`Colour`) VALUES (1, 0, '---SELECT','#000000'), (2, 1, 'Other',','#0000ff'), ^^ Again!?

INSERT INTO `Bank_Reason` (`ID`, `ReasonID`, `Reason`,Colour') VALUES ^ | unwanted single quote

$surname_counts = array_count_values(array_map(fn($v)=>substr($v, strpos($v, '_', 0)+1), $names)); -> Array ( [jones] => 2 [smith] => 3 [doe] => 2 [jackson] => 1 )

Put this line just before the mysqli connection code... mysqli_report(MYSQLI_REPORT_ERROR|MYSQLI_REPORT_STRICT); Ensure error_reporting is ON. You should now get error messages if there are problems with a query.

PS You aren't doing yourself any favours by insisting on mysqli. PDO is a superior library and easier to use. While you are still learning, put your effort into PDO