[GRANTED] SC function wish - Base64 encoding/decoding

[admin]

PS: maybe this code can give ideas for better performance? http://www.di-mgt.com.au/src/basRadix64.txt

Thanks, but I got better one I think. I have super-optimized code back from my days at VBspeed. Just need the time to implement it.

Do you have problems with the performance?

[Marco]

Nope, I was just curious if I could be helpful

[SkyFrontier]

Marco, do you (or another user) have an idea of how I could enforce XY to intercept images stored at clipboard, so I could later use base64enc/dec on them? One and only time I saw html("<clipboard>") display it.

Also, how could I 'scriptically' tell the difference among text and image contained in the clipboard?

Reason: I'm trying to beautify reports delivered by XY, adding its
http://www.xyplorer.com/xyfc/styles/pro ... e_logo.gif
logo for instance without resourcing to a local or remote file [which I currently use, via html()].

[admin]

http://stackoverflow.com/questions/1207 ... e64-images

[Marco]

Marco, do you (or another user) have an idea of how I could enforce XY to intercept images stored at clipboard, so I could later use base64enc/dec on them? One and only time I saw html("<clipboard>") display it.

Also, how could I 'scriptically' tell the difference among text and image contained in the clipboard?

Mmh, definitely a question for Don. Just tried to take a screenshot and then run in the AB

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text hexdump("<clipboard>", 1), 700;

but I got nothing. My suspect is that only textual clipboard is accessible as of now.
Provided you can inspect the raw content of an image file, all you need is check the first four bytes:

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FF D8 FF EE

for jpg

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89 50 4E 47

for png

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42 4D 40 6F

for bmp.
But, again, I suspect a screenshot is stored in memory as a raw bitmap with no header.
Let's wait for Don's insight.

[Marco]

Don, we are curious

[SkyFrontier]

Don, we are curious

very.

[admin]

What't the question? Access a bitmap in clipboard?

[Marco]

Yes. And more generally, how to distinguish programmatically between contents in clipboard.
SkyFrontier made some tests, and told me that XY knows if clipboard content is a text or an image: if you do ctrl+alt+v (Paste Special > Paste Text into New File) with an image into clipboard as source XY will warn about it. Vice versa too.

[admin]

Yes, technically possible. But no time to open scripting for this now, sorry.

[Marco]

Ok.

[admin]

In the other thread I just posted what's really important.

[Marco]

Code: Select all

 writefile("%temp%\img.jpg", base64decode("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"));
 makecoffee "%temp%\img.jpg";
 delete 0, 0, "%temp%\img.jpg";

[/size]

[Enternal]

Hmm... I don't know what's going on but there's something funky going on. Make a new text file named Base64Test.txt with content:

Code: Select all

Hello!
こんにちは！
您好！
مرحبا!
Здравствуйте!

Using Marco's code:

Code: Select all

"ENCODE"
  $Path = <curitem>;
  $File = ReadFile($Path, "b");
  $Encoding = Base64Encode($File, 1);
  $Encoding = Formatlist($Encoding, "p", <crlf>, 76) . <crlf>;
  WriteFile($Path . ".Base64.txt", $Encoding, , "ta");
"DECODE"
  $Path = <curitem>;
  $Encoding = ReadFile($Path, "t");
  $Encoding = Regexreplace($Encoding, <crlf>);
  $File = Base64Decode($Encoding, 1);
  $Path = RegexReplace($Path, "\.Base64\.txt$");
  WriteFile($Path, $File, , "b");

Encode the file and then decode the file. The result is all gibberish for anything not using plain Roman letters. I tested the base64encoding and base64decoding using something like:

Code: Select all

Text Base64Decode(Base64Encode("Здравствуйте!", 1), 1);

and it works perfectly. So I'm guessing there's something else wrong with the readfile in binary format? I tried encoding and then decoding other files like pictures too and they all ended up corrupted.

[bdeshi]

The decoding went perfectly here.
The source file with posted content=>a file with b64 encoded data=>decoded text, same as source, no gibberish included.