'Bootstrap multi row selection from table data and post to Flask backend

What I want to do is to let my users select multiple rows in a table and them hit a button to send this data back. My JS script file looks has the following:

<script>
$(document).ready(function () {
// Setup - add a text input to each footer cell
$('#example tfoot th').each(function () {
    var title = $(this).text();
    $(this).html('<input type="text" placeholder="Search ' + title + '" />');
});

$('#example tbody').on('click', 'tr', function () {
    $(this).toggleClass('selected');
});

$('#button').click(function () {
    alert(table.rows('.selected').data().length + ' row(s) selected');
});
// DataTable
var table = $('#example').DataTable({
    initComplete: function () {
        // Apply the search
        this.api()
            .columns()
            .every(function () {
                var that = this;

                $('input', this.footer()).on('keyup change clear', function () {
                    if (that.search() !== this.value) {
                        that.search(this.value).draw();
                    }
                });
            });
    },
});
});
</script>

My HTML code is as follows:

<form action="/get1" method="POST" name = 'input'>
<button id="button">Row count</button>
<table id="example" class="table table-striped">
    <thead>
        <tr>
            <th scope="col">Index</th>
            <th scope="col">Col2</th>
            <th scope="col">Col3</th>
            <th scope="col">Col4</th>
        </tr>
    </thead>
    <tbody>
     {% for item in rows %}
            <tr>
                <td>{{item[0]}}</td>
                <td>{{ item[1] }}</td>
                <td>{{ item[2] }}</td>
                <td>{{ item[3] }}</td>
            </tr>
        {% endfor %}
    </tbody>
<tfoot>
<tr>
                <th>Index</th>
                <th>Col2</th>
                <th>Col3</th>
                <th>Col4</th>
            </tr>
</tfoot>
  </table>
</form>

I need some help with JS and HTML to POST values (such as row index) to the backend that the backend can read.



Solution 1:[1]

Let's assume you have added the following DataTables Select resources to the head of your web page:

<link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/select/1.4.0/css/select.dataTables.css"/>
<script type="text/javascript" src="https://cdn.datatables.net/select/1.4.0/js/dataTables.select.js"></script>

Then you can enable the extension by adding the following option to your DataTable:

select: true

Now you can experiment with selecting and de-selecting rows. You can use the CTRL and SHIFT keys to select multiple rows.

In your button click event you can now use the selected() function I mentioned in my comment - for example:

$('#button').click(function () {
  selected_ids = [];
  table.rows().every(function () {
    if ( this.selected() ) {
      selected_ids.push( this.data()[0] );
    }
  });
  console.log( selected_ids );
});

This will capture an array of IDs from the selected rows.

Note how it uses very similar logic to the columns().every() function you already have - except it uses rows().every() to iterate over the rows in the DataTable - not only the visible rows in the current page, but also all rows in other DataTables pages (if there multiple pages of table data).


The next step is a completely different question: How to submit the IDs in that array to your Flask back end.

That has been covered elsewhere in various questions - for example: jQuery Ajax POST example with PHP. Yes, this mentions PHP, but the jQuery piece is independent of the server technology.

That question has 25 answers, and there are various other questions along similar lines, which should help you. If you get stuck you can ask a new question with the specific problem you are facing.

But, basically, instead of my console.log( selected_ids );, you would use a jquery Ajax call: $.ajax( { ... } ); to send the data to Flask.

Sources

This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Source: Stack Overflow

Solution Source
Solution 1 andrewJames