bin neu in diesem Forum und schlage mich mit folgendem Problem rum:
Ich erhalte ein Datei, vorzugweise xml-Format und möchte dieselbige in ein bestehendes PDF-Formular importieren.
Die Anzahl der Spalten ist fest vorgegeben, die Anzahl der Zeilen variiert.
eine XML-Datei sieht z.B. wie folgt aus:
Code: Alles auswählen
<?xml version="1.0" encoding="utf-8"?>
<Parts>
<Part id="1" name="FZ10001290_ASM" count="1" ZEICHNUNGSNUMMER="10001290_00"/>
<Part id="2" name="FZ10001306_ASM" count="1" ZEICHNUNGSNUMMER="10001306_00"/>
<Part id="3" name="D125A_10_5" count="32"/>
<Part id="4" name="D9021_12" count="4"/>
<Part id="5" name="DIN985_M12_10" count="4"/>
<Part id="6" name="DIN88933_M12X40_KL100" count="4" ZEICHNUNGSNUMMER=""/>
<Part id="7" name="DIN985_M10" count="16"/>
<Part id="8" name="D933_M10X30" count="16"/>
<Part id="9" name="FZ10001307_1270_ALKO" count="1" ZEICHNUNGSNUMMER="10001307_00"/>
<Part id="10" name="FZ10001294" count="2" ZEICHNUNGSNUMMER="10001294_01"/>
<Part id="11" name="FZ10001305" count="1" ZEICHNUNGSNUMMER="10001305_00"/>
<Part id="12" name="FZ10001289" count="1" ZEICHNUNGSNUMMER="10001289_00"/>
<Part id="13" name="FZ10001290_ASM" count="1" ZEICHNUNGSNUMMER="10001290_00"/>
<Part id="14" name="FZ10001293" count="2" ZEICHNUNGSNUMMER="10001293_01"/>
</Parts>[img]data:image/png;base64,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[/img]
Kann mir da jemand helfen?
Suchen mit die Stichwörten " Tabelle od. XML importieren" ergaben keine Hilfe.
Vielen Dank vorab und ein frohes Weihnachtsfest allen
thw
