In this episode, we start building the user interface that lets us map the columns from our imported CSV file to the columns we want in our database. First, we iterate over the new columns we've dumped out and set up a loop in our UI so that each column we want to map gets its own row. This makes it clear which CSV column is being mapped to which database column.
We add logic so that this mapping UI only shows up after we've selected a CSV file (since we don't know the headers until then). Once a file is selected, the column mapping options appear, and for each, you get a dropdown that includes all the headers found in the CSV.
Next, we make sure the UI looks decent by adding labels for each mapping and connect each dropdown to the right value. That way, when you pick a CSV column for a particular database field, it stores that choice so we know how things are mapped up.
To make the interaction smoother, we wire up Livewire properly, allowing the selections to map directly to our internal data structure. For demonstration, we even remove the 'defer' modifier temporarily, so we can watch the columns update in real time as we map them.
By the end of the video, we've got a working interface where it's clear what needs to be imported and where it will go, with all mapping happening live on the UI. The system is now ready to handle more complex mappings where the CSV columns might be named differently than your database fields.