I might be looking at this the wrong way, but I have a form that does its thing (sends emails etc etc) but I also put in some code to make a simple flatfile csv log with some of the user entered details.
If a user accidentally puts in for instance ‘himynameis”,”bob’ this would either break the csv row (because the quotes weren’t encapsulated) or if I use htmlspecialchars() and stripslashes() on the data, I end up with a ugly data value of 'himynameis","bob'.
My question is, how can I handle the incoming data to cater for ‘”‘ being put in the form without breaking my csv file?
this is my code for creating the csv log file.
@$name = htmlspecialchars(trim($_POST['name']));
@$emailCheck = htmlspecialchars(trim($_POST['email']));
@$title = htmlspecialchars(trim($_POST['title']));
@$phone = htmlspecialchars(trim($_POST['phone']));
function logFile($logText)
{
$path = 'D:\logs';
$filename = '\Log-' . date('Ym', time()) . '.csv';
$file = $path . $filename;
if(!file_exists($file))
{
$logHeader = array('Date', 'IP_Address', 'Title', 'Name', 'Customer_Email', 'Customer_Phone', 'file');
$fp = fopen($file, 'a');
fputcsv($fp, $line);
}
$fp = fopen($file, 'a');
foreach ($logText as $record) {
fputcsv($fp, $record);
}
}
//Log submission to file
$date = date("Y/m/d H:i:s");
$clientIp = getIpAddress(); //get clients IP address
$nameLog = stripslashes($name);
$titleLog = stripslashes($title);
if($_FILES['uploadedfile']['error'] == 4) $filename = "No file attached."; //check if file uploaded and return
$logText = array(array("$date", "$clientIp", "$titleLog", "$nameLog", "$emailCheck", "$phone", "$filename"));
logFile($logText); //write form details to log
Here is a sample of the incoming array data:
Array
(
[0] => Array
(
[0] => 2010/05/17 10:22:27
[1] => xxx.xxx.xxx.xxx
[2] => title
[3] => """"himynameis","bob"
[4] => example@example.com
[5] => 346346
[6] => No file attached.
)
)
TIA
Jared
You can change any
"in user input to"". This is recommended by RFC 4180, and will be handled correctly by OpenOffice Calc and Excel, among other programs.You can use str_replace for this. It will probably be slightly faster than preg_replace: