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[SOLVED] Insert base64 image in XLS sheet


Ebola57
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Hi community

I would like to insert a base64 image into an Excel sheet. In fact I would like to avoir external files, so I used base64 image internaly coded

I can't figure out how to do it correctly

This is the code I tried up to now

#include-once
#include <Excel.au3>
Global $oExcel = _Excel_Open ( False, False, False, True, True )
Global $oWorkbook = _Excel_BookOpen ( $oExcel, @ScriptDir & "\Test Graphic.xlsx", True )
Global $Graphic = _Graphic_Base64_Generator ( "WS-C3750V2-48" ) ; <- My picture base64 encoded
With $oWorkbook.Activesheet
    .Shapes.AddPicture ( @ScriptDir & "\Cisco-3750V2-48.jpg", -1, -1, 0, 0, 300, 30 ) ; <- Works fine, original picture
    ;.Shapes.AddPicture ( $Graphic, -1, -1, 0, 0, 300, 30 ) ; <- Doewn't work
EndWith
_Excel_BookSaveAs ( $oWorkbook, @ScriptDir & "\Test Graphic Out.xlsx", Default, True )
_Excel_BookClose ( $oWorkbook, True )
_Excel_Close ( $oExcel, False, True )

Func _Graphic_Base64_Generator ( $sGraphic_Name, $bSaveBinary = False, $sSavePath = @ScriptDir )
    Local $sGraphic_Raw = ""

    Switch $sGraphic_Name
        Case "WS-C3750V2-48"
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= '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'
    EndSwitch
    Return Binary ( _Graphic_WinAPI_Base64Decode ( $sGraphic_Raw ) )
EndFunc

Func _Graphic_WinAPI_Base64Decode ( $sB64String )
    Local $aCrypt = DllCall ( "Crypt32.dll", "bool", "CryptStringToBinaryA", "str", $sB64String, "dword", 0, "dword", 1, "ptr", 0, "dword*", 0, "ptr", 0, "ptr", 0 )
    If @error Or Not $aCrypt [0] Then Return SetError ( 1, 0, "" )
    Local $bBuffer = DllStructCreate ( "byte[" & $aCrypt [5] & "]" )
    $aCrypt = DllCall ( "Crypt32.dll", "bool", "CryptStringToBinaryA", "str", $sB64String, "dword", 0, "dword", 1, "struct*", $bBuffer, "dword*", $aCrypt [5], "ptr", 0, "ptr", 0 )
    If @error Or Not $aCrypt [0] Then Return SetError ( 2, 0, "" )
    Return DllStructGetData ( $bBuffer, 1 )
EndFunc

Any help appreciated

Best regards

Edited by Ebola57
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Hi, 

one solution is to copy the base64 graphics into memory( aka clipboard) and insert it into the excel sheet

#include-once
#include <Excel.au3>
#include <GDIPlus.au3>
#include <Clipboard.au3>

_GDIPlus_Startup()

FileDelete(@ScriptDir & "\Test Graphic Out.xlsx")               ;delete output file

Global $Graphic = _Graphic_Base64_Generator("WS-C3750V2-48")    ; <- My picture base64 encoded

$hClipboard_Bitmap = _GDIPlus_BitmapCreateFromMemory($Graphic, True) ;make bitmap from base64 code
$hHBmp_Clipboard = _WinAPI_CopyImage($hClipboard_Bitmap, 0, 0, 0, BitOR($LR_COPYDELETEORG, $LR_COPYRETURNORG)) ;make image from bitmap

$ret = _WinAPI_Bitmap2Clipboard($hHBmp_Clipboard)               ; copy image to clipboard


Global $oExcel = _Excel_Open(False, False, False, True, True)
Global $oWorkbook = _Excel_BookOpen($oExcel, @ScriptDir & "\Test Graphic.xlsx", True)

$oWorkbook.Activesheet.Range("D8").activate                    ;position of picture
$oWorkbook.Activesheet.paste                                    ;paste image into excel sheet

_Excel_BookSaveAs($oWorkbook, @ScriptDir & "\Test Graphic Out.xlsx", Default, True)
_Excel_BookClose($oWorkbook, True)
_Excel_Close($oExcel, False, True)

ShellExecute(@ScriptDir & "\Test Graphic Out.xlsx")



Func _Graphic_Base64_Generator($sGraphic_Name, $bSaveBinary = False, $sSavePath = @ScriptDir)
    Local $sGraphic_Raw = ""

    Switch $sGraphic_Name
        Case "WS-C3750V2-48"
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= 'teXLkuQ0un/yW6REmkbrCzAJ6rTWKrexv5QaJf65bolGl6j5QZKrhKa2lnTjq2F/eKGey6Gcr4xmU4tqXO30gV+mRO1rl+X20se23rHEKkSjMKheXZKcdRy6vaJiTznSqjBykgCzYm28CqRMpiKvQdvCKTNWV5zlGAAOO2x7IqWWW4aVLDhyvS3pEtnkuswviwUAgD8XZ7RT3SY2omWpj0j1+cVPqv8AwWJNHMpmd6ZRKJR9jjt5QkyY7sqvlYtfxj43ChO/7yIx+yEKW7C/8RinCEUDwV7fpBCcGRAfBWt+kFxwdA7drBtz7QJh4OuY7Gz3HtCl+Dq+O4u/Z7RjM4Rmvk0y/wCkY/ZJxta2r4RhI4UZSfhWZ/EYz+Fmavk0z+Ix+ymxta2r4QFThJRR2BZtobDhBTLc4ze2DMHCG1DsW1dzCueEMXXutq7iAJnCGcDezTLwVbhbsp7QZnbAVeFOFGwAmwRT8KMoHwWZaCk7hrTEPapmQqpwp1A7As3sjGXwgy1veyzLQzrwhg7d5hN3MCb9kHUAsH1d4XPg5fHcZTL2jGZwguvk028Y/ZLY2tbV8ICpwlkUdgWbaMpPCNJu26zIEuZw13QeBmwL8LmuBsFaoJC+g8IMtuHuU7Lan8QLcMmhfwcwcfp2QqJw9lRRYATOz2idXy8ZCs+ODG/Yoj//xAAjEAACAgICAwEBAQEBAAAAAAABEQAhMUFRYXGBkaHB0bHw/9oACAEBAAE/IXyblEJnTj9ErYaEJCLyTBzTOrhinbNViBCScDiHZthA0oQh3CW3GoOkE4iIjgtLl3FokuUYwrb8iY0AUeX0gREYbP8Aeq3HC1WorW2xqo02CBimRxBq4CndzxD14gzODBizZu9CJMiuvSN6xcXRBYsQT/VXB2MlwdqMwZcJk4mKZfGYFdK6f2p3mHfkqoDRm+dTDtOBHJfDqAzAJjAyeA4Az+s2ZBAwv2IjotI5PhxEFCGY0MHy7glZpsB5Uccwqp7YIDKs/wDEDEUFqDfDocwMhGNA63LvnEDDMYGhVnOBqos4CULllsBi5Rj10mnD2q5SDMGWcxb5YMMHXJf/AEfsvhoMBFUcQl5Eh+o4JUXXR45uKwjeHS8Y7abFp+ZT8kf+jvwYZUqyMc+TBxiX6RHBKoDJF4Gr/dMm4MHEQPx3f1EXgJROmTpAews72OLquMajvrhQJgcnWIFskD6NDyhY9ZIqmx4VjEWpmC8j/pmLCBywZLeDB12VtDADLADHQjMdnMqZ+FtzY+fsCQ75Ue4VWKLJJbJ0iuEnBPrJx1H9VtHPddc5hJFLLg2sbcxDCiicXMWy7RyMfoybFQhCCjcgNlJxpRcLA5bN+RwdacKDfN8RV4z5BQEDfzEbXygJCaOvWBD2aIcYHHEuAuQgbNg8olrwCVEh1rSsQTnzYcQfpbcbiw2y3f1CvkQFDsNC/ZThYx6olmUQtx/WYgACQYfSBYooNCmeV/I02Nibig7f+QuESIy0TouIDuKFDn0r8H98GELAaRbbtGG4lBiAzyLhyrpVMd8je74hLZyEH8J8SiscjRxB+RjcNeB3BKHOk8wOQxAocL+xBhB+nMF9o35MpUrpgK/2OStR4JHVyiChzHAMWUI++8MmSwxCFRWVHOPipBSGAWR9rGoiikYSzPQVFFEYLA/xB5hJKagxziUExOKRZ0dTDQ1UqYcgY8rWkahtELj+BQx4aOiajwyRpJyJchH3iL8CRXTA4IeIGwBS0AbsfEFEBEqKXoiXWAHAuniL5W5HUHdjCqU6U+NQV/sKJwIHHI6rXKpAxEgC2ov7VMiJDFj7Lbh7B4WCoy1LkgHQRf5L+RRojBbIhQK6klMoySLaj/c5qoOCGC8RX7IDXCdB8ltqFIyprUNj1+xdx6OGXx2YXMghERHHTqBuAwADxpDQsZBAnmMFtJHlOUJoYkkjgGChMKnLcjSFop7Ko+jD7Y+H6JY6llSaYAhZoZujL/UX5666JY6l'
            $sGraphic_Raw &= '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'
            $sGraphic_Raw &= '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'
    EndSwitch
    Return Binary(_Graphic_WinAPI_Base64Decode($sGraphic_Raw))
EndFunc                                                         ;==>_Graphic_Base64_Generator

Func _Graphic_WinAPI_Base64Decode($sB64String)
    Local $aCrypt = DllCall("Crypt32.dll", "bool", "CryptStringToBinaryA", "str", $sB64String, "dword", 0, "dword", 1, "ptr", 0, "dword*", 0, "ptr", 0, "ptr", 0)
    If @error Or Not $aCrypt[0] Then Return SetError(1, 0, "")
    Local $bBuffer = DllStructCreate("byte[" & $aCrypt[5] & "]")
    $aCrypt = DllCall("Crypt32.dll", "bool", "CryptStringToBinaryA", "str", $sB64String, "dword", 0, "dword", 1, "struct*", $bBuffer, "dword*", $aCrypt[5], "ptr", 0, "ptr", 0)
    If @error Or Not $aCrypt[0] Then Return SetError(2, 0, "")
    Return DllStructGetData($bBuffer, 1)
EndFunc                                                         ;==>_Graphic_WinAPI_Base64Decode



Func _WinAPI_Bitmap2Clipboard($hHBitmap)
    If Not _ClipBoard_Open(0) Then Return 1
    If Not _ClipBoard_Empty() Then Return 2
    Local Const $hCP = _ClipBoard_SetDataEx($hHBitmap, $CF_BITMAP)
    If Not $hCP Or @error Then Return 3
    _ClipBoard_Close()
    Return 0
EndFunc                                                         ;==>_WinAPI_Bitmap2Clipboard

 

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Many thanks, your method works flawlessly, but I forgot to mention that this routine is intensively used. I also need to make it as fast as possible

The alt way, I found is to write a temp pic. file then delete it (but I dislike it, because of temp file)

; 45 ms method
Global $oExcel = _Excel_Open ( False, False, False, True, True )
Global $oWorkbook = _Excel_BookOpen ( $oExcel, @ScriptDir & "\Test Graphic.xlsx", True )

Global $hTimer = TimerInit ( )
Global $sGraphic = _Graphic_Base64_Generator ( "WS-C3750V2-48" ) ; <- My picture base64 encoded
FileWrite ( @ScriptDir & "\Toto.jpg", $sGraphic )
With $oWorkbook.Activesheet
    .Shapes.AddPicture ( @ScriptDir & "\Toto.jpg", -1, -1, 0, 0, 400, 40 )
EndWith
FileDelete ( @ScriptDir & "\Toto.jpg" )
ConsoleWrite ( "Méthode 1 : " & Round ( TimerDiff ( $hTimer ), 2  ) & " ms" & @CRLF )

_Excel_BookSaveAs ( $oWorkbook, @ScriptDir & "\Test Graphic Out 1.xlsx", Default, True )
_Excel_BookClose ( $oWorkbook, True )
_Excel_Close ( $oExcel, False, True )

; 110 ms method
_GDIPlus_Startup ( )
Global $oExcel = _Excel_Open ( False, False, False, True, True )
Global $oWorkbook = _Excel_BookOpen ( $oExcel, @ScriptDir & "\Test Graphic.xlsx", True )

Global $hTimer = TimerInit ( )
Global $Graphic = _Graphic_Base64_Generator ( "WS-C3750V2-48" )
Local $hClipboard_Bitmap = _GDIPlus_BitmapCreateFromMemory ( $Graphic, True )       ; Make bitmap from base64 code
Local $hHBmp_Clipboard = _WinAPI_CopyImage ( $hClipboard_Bitmap, 0, 0, 0, BitOR ( $LR_COPYDELETEORG, $LR_COPYRETURNORG ) ) ;make image from bitmap
$ret = _WinAPI_Bitmap2Clipboard ( $hHBmp_Clipboard )               ; copy image to clipboard
With $oWorkbook.Activesheet
    .Range( "D8" ).Activate                    ;position of picture
    .Paste                                    ;paste image into excel sheet
EndWith
ConsoleWrite ( "Méthode 3 : " & Round ( TimerDiff ( $hTimer ), 2  ) & " ms" & @CRLF )

Do you think there's a way to fasten your method, that is about 120 ms long on my PC ( meaning > 2x longer than with temp. file) ?

Edited by Ebola57
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2 hours ago, Ebola57 said:

Do you think there's a way to fasten your method, that is about 120 ms long on my PC ( meaning > 2x longer than with temp. file) ?

Unfortunately not...

The "paste" lasts almost 90-100ms on my PC, while the AddPicture-Method runs under 20ms

An other advantage of the  AddPicture-Method is that you can set the size and rotation of the Picture.

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  • Ebola57 changed the title to [SOLVED] Insert base64 image in XLS sheet

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