I have a code that runs through files and getting all images.
$img = '/srv/www/wordpress-default/public_html/wp-content/uploads/2018/07/2018_07_DogOwner_VS_CatOwner_655x368_NL-500x281.jpg';
$dir = preg_replace('#[^/]*$#', '', $img);
$image_files = scandir($dir);
$image_name = #array_pop(explode('/', $img));
$find = $image_name;
var_dump(in_array($find, $image_files));
In this example I run only through one image. This code returns true. The problem is when I have an image that has for example german signs (hundezubehör-für-sommer.jpg).
$img = '/srv/www/wordpress-default/public_html/wp-content/uploads/2018/07/hundezubehör-für-sommer.jpg';
This returns false. Any ideas why this doesn't work?
EDITED:
I have asked this question few days ago: How to find a shortest name (string) of the same image with different naming. The solution to this is here: https://3v4l.org/T7lfU. The problem I think is when I run the code from scandir then It can't find the diacritic.
The in_array function works despite the strings alphabet. I guest the problem happens because your PHP file and filesystem use different encodings therefore the value read by scandir has another encoding therefore it differs from the $img value written in the code.
Try to convert the encoding of the scandir result to make it match the PHP file encoding. For example:
// ...
$image_files = scandir($dir);
foreach ($image_files as &$file) {
$file = mb_convert_encoding($file, 'UTF-8', 'Windows-1251');
}
// ...
var_dump(in_array($find, $image_files));
Replace UTF-8 with the PHP file encoding and Windows-1251 with your filesystem encoding.
The problem is with storing multi-byte characters like ö and ü into a PHP file.
You can try interpreting the string as multi-byte:
$img = utf8_encode('/srv/www/wordpress-default/public_html/wp-content/uploads/2018/07/hundezubehör-für-sommer.jpg');
Encoding, then decoding to make it safer:
$img = html_entity_decode('/srv/www/wordpress-default/public_html/wp-content/uploads/2018/07/hundezubehör-für-sommer.jpg');
Or backslash the entities:
$img = "/srv/www/wordpress-default/public_html/wp-content/uploads/2018/07/hundezubeh\303\266r-f\303\274r-sommer.jpg";
Related
I have a text file. It contains "砡" character and its encoding is Shift-JIS.
I using function file_get_contents() in PHP (Laravel) to read this file, then response in json for client.
$file = file_get_contents("/path/to/file/text");
$file = iconv("SJIS", "UTF-8//IGNORE", $file);
return response()->json(['content' => $file]);
However, this charater "砡" doesn't correctly display, it show to "x".
How do I fix it ?
Try "SJIS-win" instead of "SJIS".
I have the below PHP script
<?php
header('Content-Type: text/html; charset=utf-8');
$file = "//192.168.10.206/wwwroot/SABIS CORPORATE/PrepList/Documents/41/1516 Level I Arabic Basic Questions and Answers T1 الأسلوب الخبري.pdf";
echo $file;
?>
and the result is always
PS C:\Users\aaoun> php -q c:\Users\aaoun\Desktop\Test-AAA.php
//192.168.10.206/wwwroot/SABIS CORPORATE/PrepList/Documents/41/1516 Level I Arabic Basic Questions and Answers T1 ╪د┘╪ث
╪│┘┘ê╪ذ ╪د┘╪«╪ذ╪▒┘è.pdf PS C:\Users\aaoun>
I tried UT8 encoding
iconv("unicode", "utf-8", $file);
iconv("Latin1_General_CI_AS","utf-8",$file);
iconv("Arabic_CI_AS","utf-8",$file);
base64_encode($file);
utf8_encode($file);
base64_decode($file);
utf8_decode($file);
iconv('WINDOWS-1256', 'UTF-8', $file);
iconv('cp1256', 'UTF-8', $file);
Nothing seems to work, I keep getting wrong text I need to get the text to check if the file exists ...
Ensure that the encoding of the file-system is the same as the encoding of the string that contains the file-name in your PHP code.
Otherwise you're testing for the wrong file to exist.
For example, if your file-system does not support UTF-8 but the file-name is encoded in UTF-8. As you are using Windows, it is worth noting that Windows filesystems (FAT, FAT32, NTFS) are not UTF-8 aware. you can convert your file name to UTF-16 like
$newName = mb_convert_encoding('your file path', 'UTF-16', 'UTF-8');
If that does not work, you can use urlencode. All characters returned from urlencode are valid in filenames (NTFS/HFS/UNIX).
$newName = urlencode($file);
Try this code to know if the file exists:
if (file_exists('your file path')) {
//file exists;
}
else
{
//Does not exist
}
I want to compare two files to check whether the second file is modified from the first file.
For this implementation I have planned to compare the md5_file() of the both files. But the problem is the original file is created by the Unix line coding and second file might be any type of line coding (Unix, Mac or Windows).
So the file compare always fails.
How to solve this issue?.
I have tried to remove the white spaces from the both files then proceeded the comparison. But this method also fails. Is there any other way to solve issue?
Im not supposed to copy or change the second file.
Fixed Myself as follows
$file1 = md5(preg_replace('/\s/', '', file_get_contents($file1)));
$file2 = md5(preg_replace('/\s/', '', file_get_contents($file2)));
if ($file1 == $file2)
continue;
Simply replace all of the line endings in the second file with the unix style, but only do it to a temp file or such so you can preserve the original.
Depending on how big the files are, you could just read them into strings, taking the encoding into account, and then md5 those strings.
$file1 = file_get_contents($file_url_1);
$file2 = file_get_contents($file_url_2);
$file1 = mb_convert_encoding($file1, "UTF-8", "whateverEncoding");
$file2 = mb_convert_encoding($file2, "UTF-8", "whateverOtherEncoding");
if (md5($file1) == md5($file2))
....
This should be fairly simple (given the tools on hand) but there's something I'm completely overlooking..
I'm trying to convert a PNG as a base64 URL to a GIF87a or a GIF89a GIF using PHP.
I've got a small piece of code that goes like this:
$img = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXwAAAEYCAYAAABfgk2GAAAemklEQVR4Xu2dzYsm13WHe7rHxGATtw1Zu8UMY0wIkv6AoF44ZOEspFWyUytkkRASJG0sgS2NPkCKF5qxMSSboNbOu4xJcAxZaJRNlhqRVYaZpPUPSC2wiYmm38k5rS75delW1b1V9+Pcuk9BMR/vrXvPfc6p33veU7eqLu2wQQACEIBAEwQuNTFLJgkBCEAAAjsIPkEAAQhAoBECCH4jjmaaEIAABBB8YgACEIBAIwQQ/EYczTQhAAEIIPjEAAQgAIFGCCD4jTiaaUIAAhBA8IkBCEAAAo0QQPAbcTTThAAEIIDgEwMQgAAEGiGA4DfiaKYJAQhAAMGvJwYeE1OfkP3JC5P3L/48vfjzlvz5nux36pkSlkIAAjkJIPg5ac8b60gOe1n2A8/DT6Tdddnf8WxPMwhAoBECCL5dRx+KaW8HCH1/Jir8T5Hx23UwlkEgNwEEPzdxv/E0q1exj7E9I50cx+iIPiAAgboJIPj2/Kfi/HRks7RPFX62dRLg+s46/Rp9Vgh+dKSLOoyZ2fcNIdNf5BqTB2u8cH3HpGtsGoXg2/HLoZjybmJzHpf+WcWTGHKG7jVWuL6TAfTahkDw7Xj0REz5ZmJzdIxHEo9B92kJxPwVyK++tL4y1zuCb8MlMU/iqRn9nTR4YaoRn5skcCxWcX3HpGvqMArBt+GnHNl9N9ON/GXPxrSxIoBAyqSATD/AETU3RfDLe09XWLyf2Qxq+ZmBLxzuUI7n+s5CiBy+w0vMDQTBs2LDjcx2PCfj3cw8JsPNJ5DjF6COwfWd+T6q4kgy/PJuui0m6DNycm76zB3NGtnsEzgSE2PdhDc1W0o7U4Qq/xzBL+9ABL+8DyxbkCO77+ZPlm85EiLYhuBHgLiwC10X/+jCPkIP1zG1js9mmwDXd2z7pzrrEPzyLish+B/ItFVM2GwT4PqObf9UZx2CX95llHTK+8CqBcSGVc9UaheCX95xnNTlfWDVAmLDqmcqtQvBL+84fraX94FVC0qU+7i+YzUaItiF4EeAuLALLswtBLjiw0sIPtd3VhxQCL4N556IGakfnNbN9EP5y4GNaWPFBAFKOoRIVAIIflScszs7kiO5uWY2vtUeiOCv1rVlJobgl+HuGjVHlk92b8ffPpZwfceHEm28CSD43qiSNzyUEXhAVnLMVQ3A9Z2q3GXfWATflo9SlnZ4TootX/tak+OXX2cLvwB9vVJpOwTfnuOOxaTYL7l4Rfq8bm+qWORBIGUS0B+epMDDITU3QfBtei/mSc5JbNPHIVblyPLJ7kM8UmlbBN+u4w7FNM325y7X1BP4Sdl5abldH/taprHA9R1fWrQbJIDg2w8Ozfa1HOMr/Cr02l6/LNjWQ0DjINXSXX4FridORmeC4NfjaF2xoZmeZu267V/8eXrx5y3587bsZPT1+DTUUv0S5/pOKDXaf04AwScYIFAXgZiZPpl9Xb5fbC2CvxghHUAgOwH9pafZvm+Zr28g13eyu8zGgAi+DT9gBQTmENBs/3qA8HN9Zw7lFR3TkuBv36b+UHz4vOw3V+RLptIuAa7vtOv7oJm3JPgq8tub/ns3iBaNIQABCFRMoBXBf0N89ILDT63Mv+IQxXQIQCAWgTUL3tSTBp+jpBMrjOgHAhCogcCaBb9fwtn2xw/kH6/X4CBshAAEIBCLQIuC/6bAezEWQPqBAAQgUAuB1gSfzL6WyMROCEAgOoG1Cf5Y3X5tc40eDHQIAQism8DaRHCsbr+2ua47MpkdBCAQncCaRHBqVc6a5ho9EOgQAhBYP4E1iOCU0KsXWYK5/lhmhhCAwASBNQj+WBmnm/4a5kkwQwACEFhEoHYh/L7M/rUJAmT3i0KEgyFgigDPxFrgjtoFfyi7R+QXBAWHQsAwAdc5X7uOZcNdO6i+838u5L6bjR4DQQACuQm4BJ8Ez9MLNQu+q5zDEzA9HU8zCFRKYOhXfc1als0VNULSd7nekP1ogFKNc8rmcAaCQOUEfin2f8UxB857D8fWBkmz+ldlH7Kbn3YeTqcJBComcCi2/6vsX+7NoTYtK+KC2iBxJ22RMGFQCJgj0NeC2rSsCNDaIG0Gsnsy+yLhw6AQKEbA9QY7Xls64Y7aBP/fZD7f4adcsZOMgSFghQAXb2d4oibBH7rJqqY5zHARh0AAAg4CQ3rAI9BHwqUGsdQ7694aKOXo1GqYA2csBCAQnwBJYCDTGsRy7EIttftAh9McAisj4BJ9svwBJ9cs+DXYvrJzi+lAwCQBHrfg6Rbrojn0k43M3tPBNINAAwTI8j2dbF3w+eb2dCTNINA4AbTCIwAsC77rW5uHo3k4lSYQaJAAWb6H0y0Lvusbm4ejeTiVJhBolABZ/oTjaxN8nY5lmxs9z5g2BEwQIMuvWPCH3lWL4Js4tzACAiYJkOWPuMW6eOI8k+cURkHALAGy/BUJPjdUmD3PMAwCZgiQKA64wnKG7/qmZv29mXMKQyBgloBLOyxrXTaQliGwSidbGDAQBFZHgOflO1xam+DrFPRi7nuy31ldiDIhCEAgFgEEvzLBH1ql001DHfpD2V+IFSH0AwEIrIYAgl+Z4HfmDr3lSj/Xz/ZWE6JMZC6B7hHaevxLsr8+tyOOWw0BBL9SwX9T7P7eSBhaLkut5uwxPpH+yc1qLuMOy2AeMVGp4HdmPyZ/eb/yOWSI8yaHcL3f9BtC4rRJGkxaCbA0cwViiRM5mV0EhlZ0Ud5pN15cSzO/3noSUFs5pH9i3xMH/pHsJ+3GdfMzH3pnQgdGS4IvNk+pTQCuX37PC4qbbeKo70Fkrgu4rNZpNXo/m/fYKzA7MtT024yRodioLdGN5r3aJj50AZfVOtFCoqqOXEt3/1Nm8Ae9WfBY7arcGs1YXnLeQ1mb4Kv5B7Ify/7ECuYSLbIb7Wjoms4bwqN/fwaP5WgzSPZl2h+jFZ8RqFHwO9/1T/bb8sEzsp+0GdfNzXoqe3PVb3ebo8SElQBr8i/ioGbBp57f7sns83J7V/bPBdw2Y4Y1+SsQ/KF6vjqXNdjrPbHHHrmxncAMteMC7npjY2hmLOdegeDrFA5kP5a9X89XBze9/Gql5/SY2Ltq9K5fAlzAXWlwjEyLxyWvRPCH6vld3Y5Mf10n95xldq4LuJR21hUXPrOhji+Uaq7hbzt5qKb7jjQ68okG2pgn4FO3D/lJr20p75h3ezQDEfwVCb5GhS6/utUr77A+P9r5Uqyj7kmYruTEd6nl2N24ZPvFXJt14L7g+8ZOViNTD7aWDL/j5FpzSxaXOorS9T/1ToSQ+HWVdjrLEf10PrTSM8t0V5bhd4HlqvM+Ih+eWIk87PAmMPbYhDkZ2limT2Lg7ZYqG7JSZ6WCP3RS35b5HsuudX022wTUh68OxGcMYXZl+6zesR0TS61z/VoM+YW4dHwTx691wmOZIUs2TYTeoBFalvtoQOznZPVDA7lEP8aXiW26bVvX/IXbtQr+VO1Xw56T2+bJ/1Mx608HTIsdr9R1bcZACqtYi7/Sks52sBzJP3Tv35jVtdFn7xyniC76DCYwthpHO4uZ3XfGuUSARCDYdVUcQA2/AcHvIvFA/vI/A2GJ6Ns4X4fKcKnfUsQzd2z4P7UVPE+nIcHXYJoq85DZpT7l3P2nvkA7NauhLxqWak6Rq+dzyjkXvopdE60hBLTE8/aAoZzk+Tw4VcLJ9QU8lggQD/niIeVIlHMaFnyd+pjo/6N8/hcpo6/xvnUVzo0LHwyhyCX22+MP3ZiF6NcfsJRzGhd8nf7YTTi35XNephL3RB8r3WyPVELsu/ER/bg+t9Jb88sxO0e0WNLpB+HQSa5B8hPZ/9ZK1FZoh6/I69RKCr1Ppq9tUqwUqtCt1ZmM4JPh/1bQ/lj+9TcDYazrwl+U/aS6MC9r8Niza/qWWRPSsSSA1ySWjas5oyP4CP4X4uZA/udY9qE1+/qZPpbh9pyIa+yYsXJZh0JZ6gXTU6NshkSfX8VGHeYwa2hhQLM+bHbiIzGrF23/fOTzO/LZzQvxryf001vqW76xUrrxIcJyPh9KdtvMeWGO3dlEsAzBd0P0yVA1mF6S/fUIfqi9i6nyTc0rXfqiUfNcao+zUPtdgl9TwhE638n2CP44oqOLssOjEyRbDKKpdfTbyGqOs6Es0dp1h8mTvcEGLMfsOb3mEzFn/B7KYCr+TwcOeiztVRis1ql9puNbqhnqq3ZhHPq1x+OUfaKnXBvXr87m9a55AIHxeCDt9Sf90NMcx7qrRfyXCvwaSx5DJasWf9kFnjJFmg99STevd80DmBmOPjX+GsR/qbj357hmAXT5nCx/5gmU+DBq9wOAEfxlkbdU+ENH/4Uc8A+y/8zjwNhiPjZk7WUbD5znTcbKO8/L57p6i608AS60I/hZo1CfF6Mnf2jNP6uRgYOtOXsPQTF0EZdsP4RiurYspR1hS4afLvC6nmsVfwTeHRu8CD39OTN3BG6WmyCH4M8NrXnHWRV/xD3Mn4h+GK/UrfW8+nvZ/4xKxjhqBD91KMbr/0np6i9l/+PALhHzQGABzV3lHUo7AQAXNvW5TtXK9SUvlAi+FyYaQcBJYOzlKQhNuqDxEfo1Lg9eTBTBX4yQDiCwQ6afJwh87+7mVy21rTwRyShNEhiq6SM8ccNhaIVUN4r1J7DGpTGjNzL8GdA4BAIOAtyYlTYsxspnfLF6skfwPUHRDAIeBMj0PSDNaDIk9gh9IEwEPxAYzSEwQWCo7MBFxLDQ8bkwi36FMd0BWCAwmkNggsDU4zbISscB+l6YZRXUjFMRwZ8BjUMgsFD0yfZ/G6CvyHdHIfYzT0EEfyY4DoOAB4GpN4FpF62L19jFWBfi1nl5hN1wEwR/ET4OhsAkgakSj3bQWpnHpz7fgW2NzWRALWmA4C+hx7EQ8Cfgk+2vOeMPEXlKN/5xFdQSwQ/CRWMILCLgk+2vMeP3/bJb8xfeosCJdTCCH4sk/UDAn4Bv3brGevWcTJ6M3j92FrVE8Bfh42AILCKwloxfH098Q3Z94U+IplCfXxQ+4QeHOCe8d46AAAR8CPhm/KUFckn23nFgSapPRCRqg+AnAku3EJhBwDfj73e99IsghpD7THepnT5j0GaEAIJPeEDAFgHfbN+W1V+0BnE36CEE36BTMAkCFwTmZvylAPJ44lLkPcdF8D1B0QwCBQlYE36y94LBsGRoBH8JPY6FQFkCsb8IEPKy/kw+OoKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgAAEIJCcAIKfHDEDQAACELBBAMG34QesgMBaCRzKxP5Z9q/K/lD252W/udbJWp8Xgm/dQ9gHgboJnIr5X+tNAd0p5FPAFwLPsBBohACCb8jRCL4hZ2AKBFZIQEs675Lh2/Asgm/DD1gBgbUS+L5M7DUE34Z7EXwbfsAKCKyVwEYm1teZ5+T/uHBbwOMIfgHoDAmBhgjoyhzXhvYUCAKgF4DOkBBoiICrpKPT/4HsrzfEwcRUEXwTbsAICKyawL7M7mPHDNGfzG4HeGbgDAeBRglw8daA4xF8A07ABAisnMCzMr+3ZO/rDfqT2fEAzwyc4SDQIAEu3BpxOoJvxBGYAYEVE0DwjTgXwTfiCMyAwIoJaEnnBhdty3sYwS/vAyyAQAsEXFk+SzMzex7Bzwyc4SDQKAHXKh39EthtlEeRaSP4RbAzKASaJECWX9jtCH5hBzA8BBoi4BJ8svyMAYDgZ4TNUBBonACrdQoHAIJf2AEMD4GGCLBap7CzEfzCDmB4CDRGwJXlo0OZggDQmUAzDAQgcE4AwS8YCAh+QfgMDYEGCbiWZ7IeP1MgIPiZQDMMBCDwOYF+ls9KnUzBgeBnAs0wEFhA4Cdy7F/3jleRfF72Gl8VSFlnQTAsORTBX0KPYyGQh8DQckYdvcZz2DUf3nObIZZqDJYMWBgCAqYItCD4tX55mQqUKWMQ/ClCfA6B8gRcJZ3OqhrPYW7AKhRTNQZLIVQMC4HiBPorXGotg3ADVqFQQvALgWdYCDROgAepFQgABL8AdIaEAAScN2BRx08cGAh+YsB0DwEIOAkM1fFrLVNV4WYEvwo3YSQEVkdgbSuPqnAQgl+FmzASAqsjgOAXcCmCXwA6QxYnoKtE3rqwIuXdqrnGKQ50hgFjgk9ZZwZQn0MQfB9KtFkbgW2xSfkcl76oIWS/iaQxwefibaIzDsFPBJZuTRPoi83XxdrTBBbzkLBhqAh+goCb6hLBnyLE52sksJFJbcf+O/LvowQT5SFhCH6CsJrfJYI/nx1H1kvgWEx/umd+inILgo/gmzpLEHxT7sCYTAT2ZZyPe2OlqOW7HiEQ+2UftV4YpqSTKdi3h0HwC0BnSBMEXILzjFim2X/MLXUdP9cF6JhMtK+h5+l046BNsYlLf0BNAJUuqyAwJDg/F+u/G3EGrlf6xTzv+l8oMfuOiMHZFWvxUxPu9V9TcGRGw3ANEHCJsU479nmRUpRT9p06BBD81IQR/MyEGc46gRwXVvtjxKrjvylwv1fxOT0m+LEYWY+/rPbFzmSyGs9gEIhAwCU6j0i/JxH67rpIVcfPYXtEDF/oigu3Kek6+kbwMwNnOHME+mvy1UAVoh/K/kIka1PV8XPYHgnBF7qZumirB6BPkekDNDJQo909JnY9IfuTF/bpskTdurtLb8nf35P9jlH7U5rlKovoeCqmexEH7mez6oufLew/l+0LzZwl9npQqjugY8+nmv4Q/CiuuiuCuieCurkQ1N0LQd1cCOquCOqZCOq13IJ6JNN7WfYDz2meSLvrsuudpy1tyudYdv1S3N5iCc5YNrv0hq/UtqeIg6lSzvaYS/mksL/aPqsQ/Lv7B4/tbTZPbC596VxQNzuXzgV1d+fhuaDuPvz01tnu7nvXTk8yC+pdEdS9QEH9PxHUb6cW1EPB8rbsKgZzthM56CnZM/OcY2rUY/pCpPF1U/YfyR76rB0t47wq+9Q5FuuXhOs6QcongS4B7xJ8FfYbjk5T3BC3xPaqj50KxqKTu7t/5Wj34YOXd/a+5CdcZ5+efPrg8vVv/+p+YkF9XwT1dxcK6pkIapKMX76EzsU+xpbiRqQYdqXqYyjz1P/3FU9fod+eQ4wVKS7brYrl0Moo17UOq3NIFYNJ+zUp+P+xf/Xw9x5++ra30PcRifBvLl16Kk3Gf57VRxLUMxHUa8cRPax9PR2xP+1K+1Thb2EbWpffzX2svNA94mDOORVD1HLdUxAjDijpxKA4o485wTljGP9DzrP63UtRBHWzefjMtdP7EQX1nvR1KbKgPpQ+r8YQVPkiipbZ9x3WUqav5UIVb92/1gMxJMw+K062vzS+Kv94rdd3jHNRbe8/I+in8n9/JXtoScr/pA1vGcIrBpdwC1d6hCmY975xIOJ3ObKgbo6vfvTfEQQ1Zmbfj6bFmf6h9Phu4hh9XPpvqabvEk9F3D9npsRrqFzTz3JjnYtDpR3fklTiMPq8e98sPxaXXPMyPY4ZmDEz+z7x5Zn+ec0+saCeiaDOrumfyJy/mTjSdAy9IamlzSXm/XNmSLim6vKpBH+sLGVpxcvUF6XGmSV7VxH3JgT/vGa/mzZD3WwePD6/pn8/k6BemSOoRxKJUUpgHhHdUmmnwzEmzGOiNXVupRJ8tfsN2YduGoux/t8jVGhikcBUUGax+d7+wcnO7uW0GapcyL36yYczBDVlKaePd1ZpJ8eXUWdoi1l+X5g169QXoI+dOz6ZqatfXQIaaxsqSWn/IauOYtlDPwYIFBf8lKWcPt95pZ0s2f2WoAZl+XLD1877meOotVq+b625c4PvOdXvN8ZKnX4ojP0CibX+P3P4MdwSAr7BuWSM0WOzZPedBcFZ/vkdtJkFNaiW71MHje07n+w19pgl+wsR/BA2Q2vRY891Sdkpti30V5hAUcHXO2h3dy9nFdSwWv79QoJ6xfen/W2Jnycyx9B7Mt5h5jFLDRfi/xCx1/m4+p660LuEg9bu/6nXQdHzf8lkOHYegaIOv79/8OzD3cuu26nnzcbjqEubB89dOT3xFNS7Iqj6jJyc2/kzd3wFFcFP65qp7D5U5PvW5ijrbI/ZH48LuGnjx1zvRQX/7v7V27u7eTPUzWZHnrlzz1NQzQu+rot/NHNU6Zhax29hGxP8pWKv/P5d9j/sgUx5jaSWNfotxFaROSL4o9jvFxLUK76CWsK+DwSZXixuYUtdZx/6QtH/j/k8/s5Xrufn62dcwG0hmmWORQX/v/av3tnbzZuhnp3t3PnWJ/c8BbWI4IugXvEVVEo6aU9UnxuvllgwJMCpRJgLuEu8tYJj2xP8zc4H3zq95ymo5ks6CH76kzDlDVJDLzDpZrXkefyH0sm/yP4V2bfX3Q+JflEtSO9GRlACRZ1MDd8VhEEXbUNWkcSK+Bi161i25OgnpeCr/WPXCX4tnx/L/qLsp4GT1fb9h78NdZFydVCg2TRPSQDBH6VrflkmN16lPDs+67uk4HezUxtekv31gOmGCH5RHQiYE00XEijq6AqWZVq/8UrdfyJ72sdS/CbIPpS/HiyMudoOtyD4yiz0wuqhHPML2X9nAnjJX2xTv1B5BETks6Wo4Nu/8UppZ320ggjqlVBBPRIjeXha5BNjqzsrgj/n0Qtjz9PRKZYUex1/6j6Hzg1zfuGki4iKey4q+Mot66MVNg8+vHp6Eiio5h+ephhPZE+d5beY3btEKfY5M5Tl/q8Mflf27j6LuXX27f7n9pFK4nwFvxvf4stcUrFJ0m/s4A020v7D07Jl+XOy+473ofzl3WD4YQekvCEozJK8rfuilEI0Xc+w/0SmqRn6mrdQwe++gK29zKUaHxUX/GxZ/qzsvvOj+RegqKFHsqcq7TwjfR9XE9VxDc31+INt0f+VTOFPZL8ddyrmevulWKTLRnXTOeurH6fq+t0kqO/PcKcJwbf/AhQlm7K0M+s5+C53qyg/PSMOxg55RT68HrnPmrpzZd8mzpuaIA7Yeij/f+viM32uT/cF55v5z7musQJs86dgJnBTlnbmPQffBTXFS8x/LYL6+zEF9Ugsj5Xpt5zZdwGA4M/Xl7lH+gq+9m9Gw+ZONudxpmCleIm5/E585dGP7kUU1JiZfrTMvh8zmjlptj/3Qq5eoNWMS5/V0/rmevyBxtOPZA+9Gap1lr7zDxH80iuNfOdkop0pwVciMTP9eJl931fnNf2Fgnomgjr7peW+wXMkDVWcfIVfhV7b69zYPiMwJD4q9k/JfhtQ0Qn41vG7gc3pWHQikTo0Ceq8pr/z4Hj2e27lAq2kZU/Of2m5L93zbD9QUM+k/bXcgqp35B7Krlm7bt3qjy5D1TqqChcZ/Rdd7yrpdK2Unz7vhi0+gZAs36SOxUeyvEfToM6z/R0RSN8XnJ8L/d71a6f3Mwvq+asQRVA1a9dt70JQzy4EdU8E9UwENXlGvzwi6MFFQP2pWafu28+nafXehBxRguAnoGxa8Lv56h25e5Khnu1cPhdUiYRzQRXjzwV1b+fBrTPJUNNn9Ak8QJc1EdgWfrV7e2VJTfOowdaQsk4VOmYBOqAseAEbIACBIQI+mT465hk/gPIERTMIQKAIgalMn1U6AW5B8ANg0RQCEIBAzQQQ/Jq9h+0QgAAEAggg+AGwaAoBCECgZgIIfs3ew3YIQAACAQQQ/ABYNIUABCBQMwEEv2bvYTsEIACBAAIIfgAsmkIAAhComQCCX7P3sB0CEIBAAAEEPwAWTSEAAQjUTADBr9l72A4BCEAggACCHwCLphCAAARqJoDg1+w9bIcABCAQQADBD4BFUwhAAAI1E0Dwa/YetkMAAhAIIIDgB8CiKQQgAIGaCSD4NXsP2yEAAQgEEEDwA2DRFAIQgEDNBBD8mr2H7RCAAAQCCCD4AbBoCgEIQKBmAgh+zd7DdghAAAIBBBD8AFg0hQAEIFAzAQS/Zu9hOwQgAIEAAgh+ACyaQgACEKiZAIJfs/ewHQIQgEAAAQQ/ABZNIQABCNRMAMGv2XvYDgEIQCCAAIIfAIumEIAABGomgODX7D1shwAEIBBAAMEPgEVTCEAAAjUTQPBr9h62QwACEAgggOAHwKIpBCAAgZoJIPg1ew/bIQABCAQQQPADYNEUAhCAQM0EEPyavYftEIAABAIIIPgBsGgKAQhAoGYCCH7N3sN2CEAAAgEEEPwAWDSFAAQgUDMBBL9m72E7BCAAgQACCH4ALJpCAAIQqJkAgl+z97AdAhCAQAABBD8AFk0hAAEI1Ezg/wFm7lJkZahzkgAAAABJRU5ErkJggg==";
$img = str_replace('data:image/png;base64,', '', $img);
$img = str_replace(' ', '+', $img);
$data = base64_decode($img);
$dataTwo = imagegif($data);
$file = 'img/' . uniqid() . '.gif';
$success = file_put_contents($file, $dataTwo);
print $success ? $file : 'Unable to save the file.';
But whenever I run it, I get an error that says Warning: imagegif() expects parameter 1 to be resource, string given and of course my if fails and spits out 'Unable to save the file'.
The data URL is valid. I've checked.
I think I need to create $data as an image first before $imagegif will process it but I don't know how to do that.. I'm still shaky on handling objects.. I tried to search the PHP wiki but I became even more confused and now I have a headache..
I have two questions that follow:
what did I do wrong / please tell me what it wants me to give it and how..
once I have it actually working, when PHP converts the file, will it overwrite the header to GIF87a or GIF89a? I require one of these to specifically be in the header of the GIF file.
Thank you in advance for any advice you can provide.
The function you want to use is indeed imagecreatefromstring.
It will recognize the image type by parsing the data.
You can then use the resource returned as parameter to the imagegif function.
As previously pointed out, you need imagecreatefromstring from the GD library. The conversion is then quite straight forward:-
$img = imagecreatefromstring(base64_decode("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"));
imagegif($img, 'test.gif');
Or to match your code:-
$input = "data:image/png;base64,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";
list(, $imgData) = explode(',', $input);
$img = imagecreatefromstring(base64_decode($imgData));
imagegif($img, 'test.gif');
And to answer your second point, opening test.gif in notepad++ showed GIF87a in the header.
I want to create a picture from a passed binary string:
$fileName = uniqid().".".$imgType;
$fileName = "../tmp/".$fileName;
$f = fopen($fileName,'wb');
$picture = mb_convert_encoding($picture, "UUENCODE", "UTF-8");
fwrite($f, $picture);
fclose($f);
This works quite well on one machine with PHP 5.3.10-1ubuntu3.4. The picture is created properly. If try it on a different machine with PHP 5.3.19 the output is very strange. E.g. if you open the file with less then you will find \0 instead of desired ^# characters.
Why does this happen?
The binary string is part of a post request from a website using HTML5 Formdata encoded in both cases with UTF-8.
$picture = convert_uudecode($picture);